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Devereaux, Jaime E. (Jaime Erin). "Obsolescence : a systems engineering and management approach for complex systems." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59233.
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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
Obsolescence mitigation is an increasingly important aspect of large systems development & maintenance that has often only been considered once obsolescence is imminent. For long lifecycle systems, this has become a major concern as the lifecycles of the components that are encompassed within these systems are often far shorter - up to ten times shorter - than the overall system lifecycle. Many defense systems can be characterized in this manner and therefore require obsolescence mitigation approaches to ensure the continuing ability for the system to perform and evolve. Current system-level obsolescence mitigation practices make recommendations for designing new systems to slow the onset of obsolescence and make the system more flexible when change for obsolescence is required. However, currently fielded systems were often not designed with this in mind. Other obsolescence mitigation techniques focus only on the approach to mitigating component-level obsolescence locally without examining the impact of the change on the system as a whole. This thesis combines the recommended approaches for obsolescence mitigation, the experience and lessons learned for obsolescence mitigation on a real-world case study system gained from interviews with key subject matter experts, along with systems engineering techniques for dealing with engineering change in systems to develop a robust systems engineering and management approach for obsolescence in large complex systems. The thesis provides the reader with a flow chart and a clustered DSM of the tasks along with a checklist that could be used with this obsolescence engineering and management approach.
by Jaime E. Devereaux.
S.M.in System Design and Management
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Reily, Todd R. (Todd Richard). "User experience design of complex systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77063.
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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 104-105).
Over recent years, the global marketplace and its consumers have developed a mutual recognition for the rising prominence of design that delivers high quality user experience. For the provider of products and services, such design has emerged as a critical differentiator that creates new opportunities for revenue and drives customer loyalty. For the consumer, design can often surpass commoditized technical specifications as a basis for making purchase decisions. Nevertheless, despite their best intentions, many organizations still fail to successfully integrate design strategies into their existing processes and culture. This research examines the critical factors that enable successful implementation of design strategies under current market conditions in a way that produces sustained customer loyalty and revenue. Methods utilized in this research include one-on-one interviews, online surveys, and comparative case studies to ensure proper balance and perspective. The interviews were conducted with design leaders at organizations such as Philips and Frog Design. They covered the role that design plays at organizations, including the conditions necessary for successful design strategies and the barriers that they generally face. Surveys conducted for this research examined the personal experiences of 120 managers, engineers, and designers on the development of consumer-facing products, services, and systems. The result of these methods was a series of findings that supports the notion that a holistic "systems-based" approach offers competitive advantages to organizations looking to successfully implement a design-oriented strategy. It is this perspective that allows organizations to realize solutions that balance business objectives, technical capabilities, and design principles to meet customer intentions. It is proposed by this thesis that a systems-based approach has become necessary due to the ever-converging nature of today's networked products and services, particularly in the consumer marketplace. This thesis concludes with a framework of methods and principles for conceiving and designing user experiences for a complex market of convergent products and services. The framework borrows methods from Systems Thinking, Design Thinking, and User Experience Design to create a singular process that provides the clarity and simplicity necessary for a user experience amidst the complexity of a system design process.
by Todd R. Reily.
S.M.in Engineering and Management
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Panetta, P. V. (Peter V. ). "Risk management strategies for developing complex space systems." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/91747.
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Adamsen, Paul B. (Paul Bent) 1957. "A generalized framework for complex system design and management." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9621.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 1998.Includes bibliographical references (leaves 75-78).
This thesis outlines a structured framework for complex system design and management. There have been and continue to be many efforts focused on defining the elusive generic System Engineering Process. I suggest one reason why industry, government, and academic efforts have had limited success in defining a generalized process applicable to many contexts, is that the time and logical domains have not been explicitly identified and characterized in distinction. When the logical view is combined with the chronological view, the resulting process becomes application specific. When these are characterized in distinction, the overall framework is preserved. This thesis develops a generalized process that maintains this distinction and is thus applicable to many contexts. The design and management of complex systems involves the execution of technical activities together with managerial activities. Because of the organic connection between these two sets of activities, they must be integrated in order to maximize the potential for success. This integration requires a clear definition of what the system development process is in terms of the technical activities and how they logically interact. The" control logic" thus provided is then used to develop the logical connection between the managerial and technical activities.
by Paul B. Adamsen, Jr.
S.M.
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Lim, Brian Yoo-Jin. "Principles for architecting complex systems." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9902.
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Slagle, Jason C. "Architecting complex systems for robustness." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/43109.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.Vita.
Includes bibliographical references (p. 121-128).
Robust design methodologies are frequently utilized by organizations to develop robust and reliable complex systems. The intent of robust design is to create systems that are insensitive to variations from production, the environment, and time and use. While this process is effective, it can also be very time consuming and resource intensive for an engineering team. In addition, most robust design activity takes place at the detailed design phase, when the majority of the product life cycle cost has already been committed. Addressing robustness and the "ilities" at the architecture level may be more effective because it is the earliest and highest leverage point in the product development process. Furthermore, some system architectures are inherently more robust than others. In this thesis, a framework based on principles is proposed to architect complex systems for type I and II robustness. The principles are obtained by tracing the architectural evolution of the jet engine, which is an extremely complex system that has evolved to high reliability. This framework complements existing robust design methods, while simultaneously incorporating the robustness focus earlier in the product development process.
by Jason C. Slagle.
S.M.
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Topcu, Taylan Gunes. "Management of Complex Sociotechnical Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97844.
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Sociotechnical systems (STSs) rely on the collaboration between humans and autonomous decision-making units to fulfill their objectives. Highly intertwined social and technical contextual factors influence the collaboration between these human and engineered elements, and consequently the performance characteristics of the STS. In the next two decades, the role allocated to STSs in our society will drastically increase. Thus, the effective design of STSs requires an improved understanding of the human-autonomy interdependency.
This dissertation brings together management science along with systems thinking and uses a mixed-methods approach to investigate the interdependencies between people and the autonomous systems they collaborate within complex socio-technical enterprises. The dissertation is organized in three mutually exclusive essays, each investigating a distinct facet of STSs: safe management, collaboration, and efficiency measurement.
The first essay investigates the amount of work allocated to safety-critical decision makers and quantifies Rasmussen's workload boundary that represents the limit of attainable workload. The major contribution of this study is to quantify the qualitative theoretical construct of the workload boundary through a Pareto-Koopmans frontier. This frontier allows one to capture the aggregate impact of the social and technical factors that originate from operational conditions on workload.
The second essay studies how teams of humans and their autonomous partners share work, given their subjective preferences and contextual operational conditions. This study presents a novel integration of machine learning algorithms in an efficiency measurement framework to understand the influence of contextual factors. The results demonstrate that autonomous units successfully handle relatively simple operational conditions, while complex operational conditions require both workers and their autonomous counterparts to collaborate towards common objectives.
The third essay explores the complementary and contrasting roles of efficiency measurement approaches that deal with the influence of contextual factors and their sensitivity to sample size. The results are organized in a structured taxonomy of their fundamental assumptions, limitations, mathematical structure, sensitivity to sample size, and their practical usefulness.
To summarize, this dissertation provides an interdisciplinary and pragmatic research approach that benefits from the strengths of both theoretical and data-driven empirical approaches. Broader impacts of this dissertation are disseminated among the literatures of systems engineering, operations research, management science, and mechanical design.Doctor of Philosophy
A system is an integrated set of elements that achieve a purpose or goal. An autonomous system (ADS) is an engineered element that often substitutes for a human decision-maker, such as in the case of an autonomous vehicle. Sociotechnical systems (STSs) are systems that involve the collaboration of a human decision-maker with an ADS to fulfill their objectives. Historically, STSs have been used primarily for handling safety critical tasks, such as management of nuclear power plants. By design, STSs rely heavily on a collaboration between humans and ADS decision-makers. Therefore, the overall characteristics of a STS, such as system safety, performance, or reliability; is fully dependent on human decisions. The problem with that is that people are independent entities, who can be influenced by operational conditions. Unlike their engineered counterparts, people can be cognitively challenged, tired, or distracted, and consequently make mistakes. The current dependency on human decisions, incentivize business owners and engineers alike to increase the level of automation in engineered systems. This allows them to reduce operational costs, increase performance, and minimize human errors. However, the recent commercial aircraft accidents (e.g., Boeing 737-MAX) have indicated that increasing the level of automation is not always the best strategy. Given that increasing technological capabilities will spread the adoption of STSs, vast majority of existing jobs will either be fully replaced by an ADS or will change from a manual set-up into a STS. Therefore, we need a better understanding of the relationships between social (human) and engineered elements. This dissertation, brings together management science with systems thinking to investigate the dependencies between people and the autonomous systems they collaborate within complex socio-technical enterprises. The dissertation is organized in three mutually exclusive essays, each investigating a distinct facet of STSs: safe management, collaboration, and efficiency measurement. The first essay investigates the amount of work handled by safety-critical decision makers in STSs. Primary contribution of this study is to use an analytic method to quantify the amount of work a person could safely handle within a STSs. This method also allows to capture the aggregate impact of the social and technical factors that originate from operational conditions on workload. The second essay studies how teams of humans and their autonomous partners share work, given their preferences and operational conditions. This study presents a novel integration of machine learning algorithms to understand operational influences that propel a human-decision maker to handle the work manually or delegate it to ADSs. The results demonstrate that autonomous units successfully handle simple operational conditions. More complex conditions require both workers and their autonomous counterparts to collaborate towards common objectives. The third essay explores the complementary and contrasting roles of data-driven analytical management approaches that deal with the operational factors and investigates their sensitivity to sample size. The results are organized based on their fundamental assumptions, limitations, mathematical structure, sensitivity to sample size, and their practical usefulness. To summarize, this dissertation provides an interdisciplinary and pragmatic research approach that benefits from the strengths of both theoretical and data-driven empirical approaches. Broader impacts of this dissertation are disseminated among the literatures of systems engineering, operations research, management science, and mechanical design.
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Jootar, Jay 1975. "A risk dynamics model of complex system development." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8480.
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Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.Includes bibliographical references (p. 201-204).
The development of complex systems is a challenging endeavor which has captured the attentions of scholars and practitioners alike. Throughout the decades, numerous methods have been proposed to help manage such development efforts more effectively and efficiently. Some of these methods, such as prototyping, concurrent engineering, iterative model for software development, and system-focused development for R&D, are process models which recommend better ways to structure the development process to handle the complexity of the system under development. This thesis seeks to understand the complex system development from a risk perspective. Continuing from the work done by other researchers, this work combines issues which are traditionally considered separately into one single model. More specifically, the model explicitly captures the dependencies in the system and the structure of an iterative development process and their interactions. The resulting mathematical problem demonstrates the risk characteristics of a development process. It shows that the optimality calls for a trade-off between the reduction of the probability of risk and the increase in the impact of risk. From its structure, the model also helps us understand how different aspects of system architecture affect the structure and the performance of the development process. In addition, the model also reveals the fundamental problems of process models and proposes a generic risk-based alternative. To explore the applicability of the model, the thesis also provides a case study in a software development process and a set of heuristics for solving the resulting combinatorial problem.
by Jay Jootar.
Ph.D.
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Giammatteo, Robert E. (Robert Eugene). "System redesign within complex, technically integrated products." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9255.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2000.Also available online at the MIT Theses Online homepage
Includes bibliographical references (p. 187).
The process by which complex, technically integrated products are designed and introduced can be a source of competitive advantage, especially when marketplaces are sensitive to product quality levels. An extension of this competitive advantage is the process by which ongoing production programs are supported. The ongoing support of complex products involves periodic evaluation of critical systems that effect overall customer satisfaction with the product. Such evaluation is performed to identify systems whose performance has dropped to levels that require full system redesign. In this study, a methodology is proposed that can be utilized in the redesign process of systems embedded within complex products. The overall methodology involves identification of critical target systems, a failure mode analysis of the identified system(s), use of benchmarking and/or statistical tools as necessary to characterize features that can be utilized to improve system performance, and finally, conceptual design activity to implement such features. Specifics of each of the aforementioned process steps within the overall methodology are illustrated through work performed on a project sponsored by Ford Motor Company to address poor performance of the water seal system on the SN-95 Mustang convertible. In addition to the technical issues encountered during execution of the proposed system redesign methodology, organizational issues significantly impact the overall effectiveness of ongoing production program support. Organizational structures can raise barriers to efficient organizational knowledge transfer, thus introducing inefficiencies into the overall product development process. This study examines the relationship between organizational structure and knowledge flow amongst the various stakeholders of ongoing production programs. This relationship is used to characterize mechanisms that promote effective transfer, management, and growth of the product development knowledge base within an organization's overall product development community. Examples of mechanisms that were characterized as promoting effective knowledge transfer, management, and growth include the use of aligned organizational metrics against which the different stakeholders responsible for support of a specific program are judged, and rigorous use of a formal process for documentation of experience-based lessons-learned.
by Robert Giammatteo.
M.B.A.
S.M.
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Srinivasan, Rajaram. "Analysis of DevOps in complex product-service system development." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121802.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019Cataloged from PDF version of thesis.
Includes bibliographical references (pages 41-42).
DevOps, a paradigm in which development and operations processes and teams are considered elements of the same stack, is a new way of thinking in the software engineering domain. It has recently gained significant momentum in development of Product-Service-Systems (PSS) where operations play a significant role in product and service delivery. We hence study a DevOps software development process for a PSS using a design structure matrix (DSM) representation to find out the structure of information exchange in DevOps processes. We find unique features such as nested iterations at differing rates which are not evident in conventional engineering development projects. We describe the impact of integrating ongoing operations into a development process and identify some of the enablers that lead to adoption of a DevOps process. We conclude by discussing the implications of our findings and raise questions for further research.
by Rajaram Srinivasan.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Tamilselvan, Prasannavenkatesh. "Advanced failure diagnostics and prognostics for complex system health management." Diss., Wichita State University, 2014. http://hdl.handle.net/10057/10942.
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This dissertation consists of four published or accepted journal articles that address some of the key problems in prognostics and health management area (PHM). Effective health diagnostics and prognostics provide multifarious benefits such as improved safety, improved reliability and reduced costs for operation and maintenance (O&M) of complex engineered systems. Extensive literature reviews on PHM for diagnostics of system health conditions and O&M decision-making for complex engineered systems have identified important challenge problems for this dissertation as follows:
- Effective diagnostics of current health states based on heterogeneous sensory data from multiple sensors is an intricate problem for condition monitoring techniques to be applied on complex engineered systems, mainly due to high system complexity and sensory data heterogeneity;
- With an increasing system complexity, it is extraordinarily difficult to have a well-tested system so that all potential faulty states can be realized and studied at product testing stage. Thus, real time health diagnostics requires automatic detection of unexampled system faulty states based upon sensory data to avoid sudden catastrophic system failures;
- Despite successful applications of different diagnostic algorithms in various engineering fields, a challenge for health diagnostics is that an implicit relationship between different system health states and features of sensory signals makes it difficult to develop a generally applicable health diagnostics technique.
- Although diagnostics and prognostics can provide valuable information for proactive actions in preventing system failures, their benefits have not been fully utilized for the O&M decision-making process.
To carefully address these important research problems, this dissertation proposes four research solutions: a multi-sensor health diagnostics technique using deep belief network, a tri-fold hybrid classification approach for diagnostics with unexampled faulty states, a multi-attribute classification fusion technique to develop a generally applicable health diagnostics framework and a generic prognostics-informed O&M decision-making framework by utilizing failure prediction information in the O&M decision-making process. In this dissertation, different practical engineering applications will be employed as case studies to demonstrate the efficacy of proposed research solutions.Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
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Nisula, Jari M. "A risk management framework for a complex adaptive transport system." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30041.
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La science a connu des avancées significatives en matière de gestion du risque au cours de la dernière décennie. Toutefois, les pratiques actuelles de gestion du risque dans le domaine industriel n'ont pas tiré tout le profit de ces développements. Le sujet de recherche de cette thèse peut être formulé ainsi : comment bâtir un cadre de gestion du risque afin de gérer les risques dans le transport, en adoptant les perspectives modernes du risque et les dernières connaissances de sécurité, tout en considérant le système de transport comme un système adaptatif complexe ? Ceci, à travers la perspective d'une agence nationale de la sécurité des transports, dont la responsabilité est la supervision de la sécurité de plusieurs modes de transport, incluant l'aérien, le maritime, le ferroviaire et le routier. La connaissance scientifique actuelle est passée en revue pour les sujets de risques et d'appréciation du risque, de sécurité et de gestion de la sécurité ainsi que les systèmes adaptatifs complexes. L'approche moderne du risque implique reconnaitre l'importance de l'incertitude et la solidité des connaissances dans l'analyse du risque ainsi que le rôle des imprévus. Le système de transport est identifié comme un système adaptatif complexe. De tels systèmes se caractérisent par un large volume d'interactions, de nombreuses boucles de rétroaction, des phénomènes non-linéaires, l'émergence, l'imprévisibilité et la contre-intuitivité. Sont étudiées les façons recommandées d'interagir avec les systèmes complexes afin de tenter de parvenir à un changement positif. Les concepts relatifs à la gestion de la sécurité sont également présentés et notamment le concept de résilience qui peut être interprété soit comme une élégante extensibilité des équipes ou des organisations, soit comme une adaptabilité continue. Les cadres existants de management du risque sont revus à la fois dans l'industrie et dans la littérature scientifique ainsi que la norme internationale ISO 31000. Basé sur l'état de l'art, un ensemble de critères pour un processus moderne de management du risque est développé. Le cadre proposé de gestion du risque dans le transport comprend des perspectives modernes du risque et considère le système de transport comme un système adaptatif complexe. Il permet de présenter les risques des différents modes de transport dans une visualisation globale de risque et de l'utiliser en tant que support pour prise de décision afin d'optimiser l'impact sur la sécurité avec les ressources qui sont toujours limitées. L'impact est encore renforcé par les moyens d'intervention tels que les stratégies adaptives et l'expérimentation, qui sont bien adaptés aux systèmes complexes. Elle est validée selon les critères élaborés et par comparaison avec les cadres existants. Le cadre proposé de gestion du risque ainsi que la thèse sont tous deux structurés d'après la norme ISO 31000. Enfin une étude de cas présente la mise en œuvre actuelle de cette nouvelle approche à l'Agence Nationale Finlandaise de la Sécurité des TransportsOver the last ten-fifteen years, science has made significant advances in fields relevant for risk management. However, current risk management practices in industry have not yet benefitted from these developments. The research question addressed in this dissertation is: What kind of risk management framework should be used for managing transport risks when the modern risk perspectives and the latest understanding of safety are embraced, and the transport system is considered a complex adaptive system? The focus of this research is on transport risks, taking the perspective of a national transport safety agency, tasked with overseeing safety across several modes of transport, including aviation, maritime, railway and road safety. The scientific literature on risk and risk assessment, safety and safety management, as well as complex adaptive systems are reviewed. The research illustrates that a modern risk perspective recognizes the importance of uncertainty and strength of knowledge in risk analysis, as well as the role of surprises. The transport system is identified as a complex adaptive system, characterized by a high number of interactions, emergence, multiple feedback loops, nonlinear phenomena, unpredictability and counter-intuitiveness. The recommended ways to interact with such complex systems and to try to achieve positive change are explained. Concepts related to safety management are also investigated, especially the concept of resilience, which is interpreted as graceful extensibility of teams or organizations, or as sustained adaptability. Evidence of existing risk management frameworks in both the industry and scientific literature is outlined and reference is made to the international ISO 31000 standard for risk management. Based on the literature review, a set of criteria for a modern risk management process is developed. A risk management framework for managing transport risks which embraces modern risk perspectives and accounts for the transport system as a complex adaptive system is proposed. It enables risks in all transport modes to be presented in a single risk picture and supports decision-making to maximize the safety impact achievable with limited resources. The impact is further enhanced by intervention strategies such as adaptive policies and experimentation, which are well-suited to complex systems. The framework is validated against the criteria developed, and by comparison to existing methods. A case study presents the on-going implementation of the developed risk management framework at the Finnish Transport Safety Agency. Both the proposed risk management framework and the dissertation are structured according to the ISO 31000 framework
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Krishnaswami, Ram 1966. "System team composition for a complex system to enable integration and attribute management." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34799.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, June 2004."May 2004."
Includes bibliographical references (p. 89).
The automatic transmission is a very complex system in a modern automobile with several hundred components performing mechanical, hydraulic and electronic functions. System integration and attribute management are key challenges in the design and development of an automatic transmission. The system and sub system team structure can play a key part in the success of this development. A properly structured team can enhance the communication between the engineers designing the individual components, ensure that all interfaces between the components are properly managed and appropriate design actions are in place for best in class attributes. This thesis analyzes the current team structure and composition that is in place in the Automatic Transmission Division at Ford Motor Company and offers recommendations to improve the composition to better align the sub system teams with the actual workings of the transmission. The main tool that is used to enable this work is the Design Structure Matrix (DSM). Communication between individual team members is compared to components that physically touch or exchange energy through hydraulic means, or exchange electrical signals and preferred team compositions for effectively engineering these sub systems are proposed. The efficacy of these teams to manage attributes like noise and shift quality is also discussed.
by Ram Krishnaswami.
S.M.
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Stealey, John 1962. "Application of a systems-theoretic safety modeling technique for complex system mishap etiology." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91775.
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Faranca, Anthony G. (Anthony Gilbert) 1971. "Complex system analysis through discrete event simulation." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34788.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.Includes bibliographical references (leaf 63).
E-commerce is generally thought of as a world without walls. Although a computer monitor may replace a storefront window, the products that are purchased online have to be distributed from a brick and mortar warehouse. Amazon.com now makes it possible to instantly order and quickly receive everything from CDs and books to large toys and home furnishings. Amazon's success not only depends on their e-business capabilities, but also on their distribution and warehouse management systems that support them. Fulfillment center management therefore has become an important component of Amazon's unique set of system activities that serve as a corporate strategy. In an attempt to improve current and future warehouse management practices, the engineering group at Amazon has recently invested in Discrete Event Simulation technology. This thesis focuses on the creation of a discrete event simulation of the Fernley, NV semi-automated distribution center's outbound flow process. More specifically, the business subjects investigated include: picker variability, tote diversion, item-per-tote reduction, and conveyor merge logic. The model presented is Amazon's first attempt at simulating this environment and serves as an initial step towards a more detailed simulation of this facility. Preliminary findings from the simulation are presented and the report is concluded with a cultural evaluation of the present engineering directive. It should be noted that this published version of the thesis has been approved by Amazon.com and does not contain any proprietary data. A fully detailed version of this thesis was only submitted to Amazon.com and to the advisors listed below.
by Anthony G. Faranca.
S.M.
M.B.A.
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Minnucci, Mark (Mark E. ). "Framework for the reduction of programmatic risk on complex systems projects." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59259.
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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references.
"In 2008, the cumulative cost growth in the Department of Defense's (DoD) portfolio of 96 major defense acquisition programs was $296 billion and the average delay in delivering promised capabilities to the war fighter was 22 months." This statement from the Director of Acquisition and Sourcing Management of the Government Accountability Office (GAO) before a House of Representatives panel is in reference to an alarming, decades-long trend in the Defense Industry of budget and schedule overruns. Defense projects are complex systems of humans, software, and hardware interacting in unpredictable and often-uncontrolled ways. The research presented in this thesis demonstrates that component and systemic failures in DoD systems have much in common with the overruns that their executing organizations experience. Complex systems accidents occur when their control mechanisms do not sufficiently enforce constraints on system components and their interactions. Similarly, project losses, in terms of budget and schedule overruns, occur when the control mechanisms of the executing organization do not sufficiently enforce constraints on project teams and their interactions. This thesis proposes a framework based on the principles of Control Theory, Systems Safety Analysis, and Earned Value Management, which project managers can apply in order to reduce programmatic risk on complex systems projects. The objectives of the thesis are: to provide project managers with a mechanism to control risk within the scope of the work they oversee, to provide individual contributors with a mechanism to control risk within the scope of the work they execute, to clearly demonstrate how poorly designed organization structures facilitate program losses, and to clearly demonstrate how well-designed organization structures can prevent or at the minimum mitigate program losses. At the completion of this thesis, it was found that complex systems programs have many tools at their disposal for defining relationships between elements of project scope and between teams in the executing organization. But few tools are available to specify how exactly a manager can accurately monitor and safely affect the scope elements under their control. The control structure specification and design presented within this thesis will address the primary causes of risk that lead to program losses.
Mark Minnucci.
S.M.in System Design and Management
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Meslmawy, Mahdi Abed Salman. "Efficient ressources management in a ditributed computer system, modeled as a dynamic complex system." Thesis, Le Havre, 2015. http://www.theses.fr/2015LEHA0007/document.
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Les grilles et les clouds sont deux types aujourd'hui largement répandus de systèmes informatiques distribués (en anglais DCS). Ces DCS sont des systèmes complexes au sens où leur comportement global émergent résulte de l'interaction décentralisée de ses composants, et n'est pas guidée directement de manière centralisée. Dans notre étude, nous présentons un modèle de système complexe qui gère de manière la plus efficace possible les ressources d'un DCS. Les entités d'un DCS réagissent à l'instabilité du système et s'ajustent aux conditions environnementales pour optimiser la performance du système. La structure des réseaux d'interaction qui permettent un accès rapide et sécurisé aux ressources disponibles est étudiée, et des améliorations proposéesGrids and clouds are types of currently widely known distributed computing systems or DCSs. DCSs are complex systems in the sense that their emergent global behavior results from decentralized interaction of its parts and is not guided directly from a central point. In our study, we present a complex system model that efficiently manages the ressources of a DCS. The entities of the DCS react to system instability and adjust their environmental condtions for optimizing system performance. The structure of the interaction networks that allow fast and reliable access to available resources is studied and improvements ar proposed
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Balchanos, Michael Gregory. "A probabilistic technique for the assessment of complex dynamic system resilience." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43730.
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In the presence of operational uncertainty, one of the greatest challenges in systems engineering is to ensure system effectiveness, mission capability and survivability. Safety management is shifting from passive, reactive and diagnosis-based approaches to autonomous architectures that will manage safety and survivability through active, proactive and prognosis-based solutions. Resilience engineering is an emerging discipline, with alternative recommendations on safer and more survivable system architectures. A resilient system can "absorb" the impact of change due to unexpected disturbances, while it "adapts" to change, in order to maintain its physical integrity and mission capability. A framework of proposed resilience estimations is the basis for a scenario-based assessment technique, driven by modeling and simulation-based (M&S) analysis, for obtaining system performance, health monitoring, damage propagation and overall mission capability responses. For the technique development and testing, a small-scale canonical problem has been formulated, involving a reconfigurable spring-mass-damper system, in a multi-spring configuration. Operational uncertainty is introduced through disturbance factors, such as external forces with varying magnitude, input frequency, event duration and occurrence time. Case studies with varying levels of damping and alternative reconfiguration strategies return the effects of operational uncertainty on system performance, mission capability, and survivability, as well as on the "restore", "absorb", and "adapt" resilience capacities. The Topological Investigation for Resilient and Effective Systems, through Increased Architecture Survivability (TIRESIAS) technique is demonstrated for a reduced scale, reconfigurable naval cooling network application. With uncertainty effects modeled through network leak combinations, TIRESIAS provides insight on leak effects to survival times, mission capability degradations, and on resilience function capacities, for the baseline configuration. Comparative case studies were conducted for different architecture configurations, which have been generated for different total number of control valves and valve locations on the topology.
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Diez, Rodrigo J. (Rodrigo Jesus). "High-performance electronic systems for complex LEO missions." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120897.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2018.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-81).
The space industry is experiencing rapid growth in small satellites and reusable launch vehicles. Constellations are in development to enable exciting new applications such as realtime video of the whole planet and broadband internet access provided through constellations of low Earth orbiting (LEO) satellites. Existing Earth observation applications focused on observation imagery, such as weather prediction and disaster relief planning, will have improvements in the quality of their products from increased the resolution of the instruments onboard the satellites and a reduction in the time between acquisitions by using large constellations of LEO small satellites. This increasing demand for performance despite the limited budget of commercial space companies will require solutions beyond the capabilities of current electronic space products. In response to the increasing need for onboard processing, Novo Space, a STAR graduate student startup founded by the author of this thesis, is developing affordable electronic components and systems for complex LEO missions that bridge the gap between the reliability of space-grade components and the performance of commercial off-the-shelf (COTS) parts. This thesis focuses on architectural designs for new space applications using Novo Space ecosystem of SpaceVPX products, the result of research and analysis to meet the new space needs for high-performance space electronics. In particular, we analyze three case studies: a payload subsystem, an avionics subsystem, and a subsystem combining both avionics and payload in the same box. With the aim of furthering our understanding of the SpaceVPX standard and its potential for future space applications, a final example of a laser communication system is analyzed in greater detail.
by Rodrigo J. Diez.
S.M. in Engineering and Management
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Marvin, Heath (Heath Allen). "Dynamics of sales compensation systems for complex sales in the semiconductor industry." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106256.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 66-67).
The semiconductor industry has entered a new phase where growth is in line with the rest of the economy. This change from rapid growth to average growth is forcing changes in how business is done across the industry. One area that can be inspected is incentivization and compensation of companies' sales forces. While the state of the practice in the industry is to pay commissions on sales made, research indicates that the semiconductor sales process may be more effective without commissions. This thesis uses System Dynamics modeling and simulation techniques to analyze the differences that result from different types of incentive plans for salespeople in order to test the robustness of a non-commissioned model against the more traditional commissioned model. The results show which incentive approach is more robust in the new economy. The modeling of these different incentive approaches shows that a non-commissioned sales force is superior in every scenario. While a commissioned sales force can drive growth, the sales force is less effective when paid commissions so price advantage must be used as a lever to drive sales to the level that a non-commissioned sales force can achieve. In growth, recession, and stability, a non-commissioned sales force is shown to be more effective when selling a complex product in a complex industry.
by Heath Marvin.
S.M. in Engineering and Management
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McKellar, Robert W. (Robert William). "Staying nimble : a flexible approach to complex product development in a rigid environment." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100380.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
Incorporating flexibility into business processes can provide organizations with increased agility to respond to uncertainty within complex product development projects spanning across many years and many organizations. Current methods used for determining value in order to justify associated costs for implementing and maintaining process flexibility are not sufficient in capturing the full worth of flexibilities within processes. A framework is developed which builds upon on prior research to assess value of flexibility within product development processes, combining benefits of rigid constraints with flexible options. Valuation of a simple potential flexibility within an aircraft development project is used to demonstrate the use of the framework in practice and to evaluate strengths and weaknesses of the framework. The method of valuation provides benefit of capturing hidden value that would otherwise be ignored or left on the table and provides further insight into the behavior of the process flexibility in a manner which leads to optimization of that flexibility. However, adoption of the framework is hindered by the skillset required in practice along with the inherent inability to demonstrate its full value, as measured by actual performance.
by Robert W. McKellar.
S.M. in Engineering and Management
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Mulay, Ajay A. "Participatory Strategic Planning System for Complex Service Environments." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1314736354.
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Malvius, Diana. "Information Management for Complex Product Development." Licentiate thesis, Stockholm : Department of Machine Design, Royal Institute of Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4466.
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Russell, Gregory B. (Gregory Brian). "A systems analysis of complex software product development dynamics and methods." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42371.
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Includes bibliographical references (p. 64-65).Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
Software development projects and products have long shouldered a reputation for missed deadlines, blown budgets, and low quality. Unfortunately, this negative reputation appears to be supported by more than just anecdotal evidence; quoting an industry study', respected software development expert and author Steve McConnell reports in his book Professional Software Development" that "Roughly 25 percent of all projects fail outright, and the typical project is 100 percent over budget at the point it's canceled." What's more, notes McConnell, "Fifty percent of projects are delivered late, over-budget, or with less functionality than desired." Exactly why software development projects and products have historically performed so poorly and with arguably little if any improvement over the past 40 years, however, is a subject on which there is less agreement. While blame often aligns along functional (product marketing and sales) versus technical (software development) lines, the increasing popularity of different and often contradictory software development methodologies seems to suggest that no real consensus exists within the software development community itself. The goal of this thesis is twofold: 1. To describe a set of key factors to consider when analyzing software processes 2. To outline an organizational framework that is optimized for implementing and managing software development practices
by Gregory B. Russell.
S.M.
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Ward, John M. "AIRSPACE UTILIZATION REPORTING SYSTEM FOR THE R-2508 COMPLEX." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608523.
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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, NevadaIncreasingly, military managers are requiring better and more efficient use of Special Use Airspace (SUA) and Military Operating Areas (MOA). To date, there has been no automated method for determining airspace utilization within the R-2508 Complex. This paper describes the development of a computer based airspace management tool called Airspace Utilization Reporting System (AURS). AURS receives aircraft beacon radar data from an air traffic control automation system used within the R-2508 Complex. The system processes this data in a customized Oracle database format and responds to query requests, making any information about aircraft activities and airspace utilization available to the user. AURS operates continuously 24 hours per day, seven days per week. The system provides a tool for near complete analysis of all transponder equipped aircraft activities and utilization information within the 20,000 square miles R-2508 airspace Complex. In this paper we also provide detailed AURS reports and examples of military and civilian aircraft activities obtained with AURS.
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Malvius, Diana. "Integrated information management in complex product development." Doctoral thesis, Stockholm : Skolan för industriell teknik och management, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11712.
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Herghiligiu, Ionuţ Viorel. "Researches regarding environmental management system as a complex process at the organizational level." Angers, 2013. https://tel.archives-ouvertes.fr/tel-01019634.
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Même si la littérature présente de nombreux ouvrages qui analysent le système de gestion environnementale (SME) au niveau de l'organisation, très peu mettent l'accent sur la qualité de l'intégration de ce système (toutes les pratiques environnementales intégrées), la qualité analysée à travers les facteurs qui l'influencent et caractérise également l'orientation de l'organisation pour les questions environnementales. Le but principal de la thèse de doctorat, c'est d'élaborer diverses méthodologies quantitatives et qualitatives, méthodes et outils de travail pour améliorer le processus de mise en oeuvre, l'intégration et le fonctionnement qui définissent le système de gestion de l'environnement au niveau de l'organisation. Pour atteindre l'objectif visé par la thèse, on a démarré une recherche, basée sur la méthode du questionnaire, sur un échantillon de plus de 70 organisations, principalement des organisations industrielles du secteur NE de la Roumanie, au niveau de 178 responsables. Les contributions théoriques et pratiques les plus importantes apportées sont les suivantes: (1) la clarification et la synthèse des facteurs potentiels les plus importants qui ont un caractère général et applicable pour toute organisation, des facteurs qui peuvent agir comme des " obstacles " dans le processus de mise en oeuvre du système de gestion environnementale (2) le développement et la proposition d'un modèle théorique SME - conformément à la norme ISO 14001, comme processus complexe, cette approche scientifique est unique et originale au niveau de la littérature spécialisée consultée; (3) le développement d'un cadre conceptuel et des méthodologies de recherche cohérentes qui permettent l'étude quantitative et qualitative de la relation entre l'orientation de l'organisation en matière de gestion de l'environnement et la qualité de la mise en oeuvre du SME, (4) le développement d'un modèle systématique pour améliorer le processus de prise de décision environnementale, (5) le développement d'une méthodologie d'enquête sur l'importance du système de connaissance de l'environnement, en raison de son influence sur la qualité de la prise de décision environnementale et d'une méthode simple pour quantifier le degré d'importance de ce système; (6) le développement de modèle montrant: (a) l'architecture de l'ensemble des influences entre les variables qui décrivent la mise en oeuvre du SME et de la qualité de l'intégration sous certaines conditions, (b) l'estimation des corrélations entre les facteurs spécifiques à l'orientation de l'organisation en ce qui concerne la gestion de l'environnement et la variabilité synthétique / globale qui définit la qualité de mise en oeuvre / intégration du EMS; (7) la proposition et le développement de solutions pratiques pour améliorer la qualité de la mise en oeuvre du SME et d'intégration au niveau des organisations du NE de la Roumanie; (8) le développement d'un cadre conceptuel et une méthodologie cohérente de recherche, qui donnent la possibilité d'évaluer l'amélioration de la mise en oeuvre du SME et la qualité de l'opération par la transformation de son architecture basée sur la paradigme de la philosophie fractaleAlthough the literature presents many works that analyze the Environmetal management system (EMS) at the organization level, very few focus on the quality of integration of this system (all integrated environmental practices), quality analyzed through the factors that influence it and also characterizes the organization's orientation to environmental issues. The main purpose of the doctoral theses it's to elaborate various quantitative and qualitative methodologies, methods and work tools to improve implementation, integration ans functioning process that define the Environmental Management System at the organizational level. In order to achieve the intended purpose of theses, it was conducted a research, based on questionnaire method, with a sample of over 70 organizations mainly industrial organization from N-E of Romania, at the level of 178 managers. Most important practical and theoretical contributions made, are: (1) clarification and the synthesis of the most important potential factors tant have a general character unaniously valid for any organization, factors that may act as a " barriers " in the implementing process of an Enviromental managmenent system; (2) development and proposal of EMS theoretical model - in accordance with ISO 14001, as a complex process; this scientific approach is unique and original in the specialized littrature level consulted; (3) development of a conceptual framework ans a coherent research methodologies that allow quantitative and qualitative study of the relationship between the organization orientation in environmental management issues and EMS implementation quality; (4) Development of a systematic model to improve environmental decision making process; (5) development of an investigation methodology of the environmental knowledge system importance due to its influence on the quality of the environmental decision and of a simple method to quantify the importance level of this system; (6) development of models showing: (a) architecture of all influences between variables that describe the organization's orientation regarding environmental management and variables that describe EMS implementation and integration quality under certain conditions; (b) estimation of correlations between organization's orientation synthetic variable/ global that defines EMS implementation/ integration quality; (7) proposal and development of practical solutions to improve the quality of EMS implementation and integration at N-E Romania organizations level; (8) development of a conceptual framework and a coherent research methodology, that allow possibility to evaluate improvement of EMS implementation and operation quality by transforming and adapting its architecture based on fractal philosophy paradigm
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Ahlman, Scott M. (Scott Martin) 1969. "Complex dynamic system architecture evaluation through a hierarchical synthesis of tools and methods." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29737.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2003.Includes bibliographical references (p. 202-203).
The automobile embodies complex dynamic system architecture with thousands of components and as many interconnections. The modern day vehicle architecture attempts to balance significant tradeoffs and constraints to achieve the system goals. There are innumerable combinations, which may or may not achieve success. This work proposes a new method for evaluation of complex dynamic system architecture through a hierarchical synthesis of specific qualitative and quantitative tools and methods within a system architecture framework. The proposed methodology is applied to key subsystems of a specific high performance car to assess primarily the merits of the process. Current methods for system architecture definition at the automobile manufacturer utilized for analysis rely primarily on experience-based intuition within an architecting framework. Current system architecture frameworks and the manufacturer's process utilized appear insufficient, as significant issues (often dynamics related) arise in the verification and validation phase of their product development process, requiring change to vehicle architecture. Changes in architecture at this phase of the manufacturer's product development process have significant cost, timing and perhaps functional performance implications. Many system architecture and engineering tools exist to aid architecture definition, but a hierarchy in usage and the interrelationships of the tools are not clearly defined. The proposed solution for rigorous complex dynamic system architecture evaluation includes a four phase hierarchical synthesis of known qualitative and quantitative tools and methods within a holistic system architecture framework. For purposes of this thesis, the proposed evaluation methodology is labeled "CD-SAAM" for Complex Dynamic System Architecture Assessment Methodology. The proposed methodology is a rigorous complement, superimposed on the concept development phase, to the standard product development design process. CD-SAAM mainly combines known system architecting and system engineering framework, principles and tools. Application of CD-SAAM to a high performance car's powertrain and chassis system architecture's second level form and function decomposition, serve to demonstrate many high level conclusions. The hierarchy and synthesis of framework, principles and tools in CD-SAAM provided a valuable and rigorous method to evaluate complex dynamic system architecture. While certain aspects of the proposed methodology appear time-consuming, each step and the overall process serve to greatly improve consistent success with respect to achievement of a system's goals within its constraints. Application of CD-SAAM also underscores the importance and need for explicit design parameter identification and analysis in complex dynamic system architecture assessment. The performance car application also provides insight into the value of DOE RSE methods in architecture assessment, as opposed to its typical region of use in detailed design analysis. Finally, a positive by-product of the analysis includes CD-SAAM's ability to evaluate the consistency and attainability of goals within the given constraints.
by Scott M. Ahlman.
S.M.
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Willmes, David E. 1965. "A framework for staffing strategy decision-making in projects involving complex system architectures." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91785.
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Browning, Tyson R. "Modeling and analyzing cost, schedule, and performance in complex system product development." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9764.
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Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, Technology, Management, and Policy Program, February 1999.Includes bibliographical references.
In the future, it is unlikely that complex system products will compete solely on the basis of technical performance. What will differentiate such systems and their developers is the ability to balance all the dimensions of product performance, including product pricing and timing (which are functions inclusive of development cost and cycle time). Furthermore, this balance must be congruent with customers' perceptions of value. Once this value is ascertained or approximated, complex system developers will require the capability to adjust the design process to meet these expectations. The required amount and sophistication of project planning, control, information, and flexibility is unprecedented. The primary goal of this work is a method to help managers integrate process and design information in a way that supports making decisions that yield products congruent with customer desires and strategic business goals. This work consists of three parts. Part one contains two exploratory studies that further understanding of complex system product development processes. One study explores process iteration and seeks to explain why some aircraft development programs do not address iteration with existing project planning and control methods. The other study examines sources of risk, classifying these into six categories (cost, schedule, performance, technology, business, and market risks) and building causal frameworks to represent their relationships. Both studies point to avenues for improving existing process '·models and in some cases reveal process characteristics requiring new methods. These results, while derived from projects in the aerospace industry, are highly applicable across a variety of complex system development projects. Part two entails an effort to model some of the characteristics observed in part one. After a review of four types of dependency structure matrices (DSMs), notably the activity-based or schedule DSM, extensive data are collected from an uninhabited aerial vehicle (UAV) design process. Part two thus describes how to build a DSM model and provides data for example applications of the detailed models developed in part three. Based on the foundational work of parts one and two, part three develops a new methodology and models for understanding product development process cost, schedule, and performance. The methodology complements activity-centric schedule models such as DSM in that activities provide direct contributions to process cost and schedule and design performance. This approach sets the stage for integrated cost, schedule, and performance analyses. A cost and schedule model is presented first, and it is extended to account for the effects of activities on product performance. The stochastic, simulation model generates distributions of possible cost, schedule, and performance outcomes. These distributions represent uncertainty and are analyzed in relation to impact functions and targets to determine levels of risk. The model outputs enable the exploration of the costs and benefits of several management options and yield interesting insights. The goal is to improve product development planning and control though the capability to balance cost, schedule, and performance appropriately.
by Tyson Rodgers Browning.
Ph.D.
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GHATTAS, HELEN. "Managing complex product development projects : An analytical framework for complex product development." Thesis, KTH, Industriell Management, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191093.
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Under de senaste åren har produkterna blivit mer invecklade beträffande anslutningen, prestanda och funktionalitet. Därför är syftet av denna studie att undersöka hur komplexa system utvecklas och leds genom att genomföra fallstudie på olika svenska företag som utvecklar mekatroniska och cyber-fysiska system. Resultatet av denna studie har lett till identifieringen av många utmaningar som de undersökta företagen har och som i sin tur har lett till framställningen av ett analytiskt ramverk som diskuterar hur och vad man bör göra för att utveckla komplexa produkter på ett effektivt sätt, så att onödig komplexitet i produktutvecklingen kan reduceras.In recent years, products have become more complex in terms of connectivity, performance and functionality. Therefore, this study aims at studying how complex products are developed and managed through conducting multiple case studies at different Swedish companies that develop mechatronic or cyberphysical systems. The results of this study is the identification of many challenges that the investigated companies have, which have led to a presentation of an analytical framework that discusses how complex product development projects can and should be managed in order to be efficient, in order to reduce unnecessary complexity in the way companies develop these complex products.
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Middlebrooks, Arthur James. "Broad utility : architecting flexible and robust systems for a complex operational environment." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122434.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019Cataloged from PDF version of thesis.
Includes bibliographical references (pages 185-188).
The current and future Operational Environment (OE) for the Unites States (US) military is becoming increasingly complex. This complexity requires Systems Engineers and Architects to develop new approaches for evaluating the variability inherent in the OEs of today and tomorrow. In response to this growing capability gap, the United States Department of Defense (DoD) has established the Engineered Resilient Systems (ERS) program. A core tenant of ERS is Broad Utility-that is, the ability of a system to, "perform effectively in a wide range of operations across multiple futures despite experiencing disruptions". [1, p. 872] The goal of this research is to provide system designers with an approach for architecting systems developed under this program for Broad Utility, as well as systems developed outside of this program, in which stakeholders desire the solution to exhibit similar properties. Specifically, through the utilization of Systems Engineering methods and tools, this research accomplishes four objectives: (1) Develops an integrated, holistic model of the Operational Environment-the Operational Environment Exchange Network (OEEN); (2) Validates Flexibility and Robustness as key Ilities of Broad Utility for technical systems; (3) Proposes a set of Architectural Decisions for achieving Broad Utility; and (4) Provides an example of how to apply the Broad Utility Architectural Decisions to a system design problem for the US Army. The proposed Architectural Decisions link the variables of the Operational Environment exogenous to the technical system to the Ilities of Flexibility and Robustness. By accomplishing these research objectives, the resulting design considerations should enable system designers to increase the likelihood that the resulting system exhibits Broad Utility and is more readily able to remain effective, despite physical, social, or technological changes in its external environment.
by Arthur James Middlebrooks.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Zhu, Jin. "A System-of-Systems Framework for Assessment of Resilience in Complex Construction Projects." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2556.
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Uncertainty is a major reason of low efficiency in construction projects. Traditional approaches in dealing with uncertainty in projects focus on risk identification, mitigation, and transfer. These risk-based approaches may protect projects from identified risks. However, they cannot ensure the success of projects in environments with deep uncertainty. Hence, there is a need for a paradigm shift from risk-based to resilience-based approaches. A resilience-based approach focuses on enhancing project resilience as a capability to cope with known and unknown uncertainty. The objective of this research is to fill the knowledge gap and create the theory of resilience in the context of complex construction project systems.
A simulation approach for theory development was adopted in this research. The simulation framework was developed based on theoretical elements from complex systems and network science. In the simulation framework, complex projects are conceptualized as meta-networks composed of four types of nodes: human agents, information, resources, and tasks. The impacts of uncertainty are translated into perturbations in nodes and links in project meta-networks. Accordingly, project resilience is investigated based on two components: project vulnerability (i.e., the decrease in meta-network efficiency under uncertainty) and adaptive capacity (i.e., the speed and capability to recover from uncertainty). Simulation experiments were conducted using the proposed framework and data collected from three complex commercial construction project cases. Different scenarios related to uncertainty-induced perturbations and planning strategies in the cases were evaluated through the use of Monte Carlo simulation.
Three sets of theoretical constructs related to project resilience were identified from the simulation results: (1) Project vulnerability is positively correlated with exposure to uncertainty and project complexity; (2) Project resilience is positively correlated with adaptive capacity, and negatively correlated with vulnerability; (3) Different planning strategies affect project resilience either by changing the level of vulnerability or adaptive capacity. The effectiveness of a planning strategy is different in different projects. Also, there is a diminishing effect in effectiveness when adopting multiple planning strategies. The results highlighted the significance of the proposed framework in providing a better understanding of project resilience and facilitating predictive assessment and proactive management of project performance under uncertainty.
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Zhang, Heng. "Efficient database management based on complex association rules." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31917.
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The large amount of data accumulated by applications is stored in a database. Because of the large amount, name conflicts or missing values sometimes occur. This prevents certain types of analysis. In this work, we solve the name conflict problem by comparing the similarity of the data, and changing the test data into the form of a given template dataset. Studies on data use many methods to discover knowledge from a given dataset. One popular method is association rules mining, which can find associations between items. This study unifies the incomplete data based on association rules. However, most rules based on traditional association rules mining are item-to-item rules, which is a less than perfect solution to the problem. The data recovery system is based on complex association rules able to find two more types of association rules, prefix pattern-to-item, and suffix pattern-to-item rules. Using complex association rules, several missing values are filled in. In order to find the frequent prefixes and frequent suffixes, this system used FP-tree to reduce the time, cost and redundancy. The segment phrases method can also be used for this system, which is a method based on the viscosity of two words to split a sentence into several phrases. Additionally, methods like data compression and hash map were used to speed up the search.
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Brady, Timothy Kevin 1960. "Utilization of dependency structure matrix analysis to assess implementation of NASA's complex technical projects." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/82693.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2002.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 93-96).
by Timothy K. Brady.
S.M.
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Abbas, Manzar. "System-level health assessment of complex engineered processes." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37260.
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Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM) technologies aim at improving the availability, reliability, maintainability, and safety of systems through the development of fault diagnostic and failure prognostic algorithms. In complex engineering systems, such as aircraft, power plants, etc., the prognostic activities have been limited to the component-level, primarily due to the complexity of large-scale engineering systems. However, the output of these prognostic algorithms can be practically useful for the system managers, operators, or maintenance personnel, only if it helps them in making decisions, which are based on system-level parameters. Therefore, there is an emerging need to build health assessment methodologies at the system-level. This research employs techniques from the field of design-of-experiments to build response surface metamodels at the system-level that are built on the foundations provided by component-level damage models.
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Wang, Shuo. "Development of a novel uncovered stent system for the management of complex aortic aneurysms." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/288381.
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Endovascular aortic repair (EVAR) is a minimally invasive alternative to open surgery for the treatment of aortic aneurysms (AA). However, standard EVAR is not applicable to complex AA with involvement of vital branches, which could be occluded by the endograft. As an emerging technique, the concept of multiple overlapping uncovered stents (MOUS) have been proposed to manage complex lesions. MOUS was used to modulate the flow pattern inside the aneurysm sac, and promote the thrombus formation followed by the aneurysm shrinkage. In this dissertation, we sought to investigate the mechanism of MOUS-induced flow modulation and key factors associated with the success of this novel technique: - The mechanical behaviour of AA was characterised by uniaxial material tests (Chapter 4). A Bayesian framework was proposed for material constants identification. They were found correlated to the microstructure of tissue fibre network and were capable in differentiating tissue types. - Solid-to-solid interaction and one-way fluid-solid interaction (FSI) analysis was performed based on patient-specific computer tomography angiography (Chapters 5&6). Structural stress concentrations were observed within the landing zones, which increased with the number of stents deployed. In the parameter studies (Chapter 6), the overall porosity was identified as the dominant factor of the flow-diverting outcome, while cross-stent structures of MOUS had limited influence. - The pathological effect of structural stress concentration induced by an implanted device was further studied in rabbit models (Chapter 7). The wall structural stress and fluid shear stress were obtained from FSI analysis based on magnetic resonance imaging (MRI), and correlated to plaque characteristics. Both high structural stress and low fluid shear stress were found correlated to plaque initialisation and increased inflammation. Overall, MOUS modulates the blood flow with robust performance under different overlapping patterns. Image-based biomechanical analysis can optimise MOUS design and can contribute to personalised pre-surgery planning.
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Wright, Michael R. (Michael Robert) 1966. "Strategies for dealing with instabilities in a complex, multi-project product development system engineering environment." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/45501.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2003.Includes bibliographical references.
This thesis evaluates the product development process from the perspective of a multiple gas turbine engine development programs. The risk to meeting cost and schedule requirements has increased solely due to squeezing budgets and schedule to fit the "better, faster, cheaper" mold. The thesis focuses on the further risks to cost and schedule of the gas turbine product development cycle that are caused by instabilities introduced by the cyclical nature of multiple product development programs completing the cycle and new ones starting. Market and business factors influence the numbers of cycles and can not be controlled. Workload and resource-usage are not stabile within multiple product development cycles. The analysis establishes an overview of the gas turbine engine, product development process, and project management techniques employed to deliver the product to the customer within cost and schedule constraints. The analysis then uses a risk causal framework to identify the issues that the process faces relative to the cost and schedule risk. The use of this framework identifies staffing issues to be one of the key drivers of cost and schedule risk. A systems dynamic model developed in a previous Systems Design and Management thesis was adapted to represent the product development process by adding structure and calibrating the model with realistic scenarios. The model evaluates the policies that can mitigate risks identified within the given process. Recommendations are provided within a framework that enables management to decide the appropriate use of the policies recommended
by Michael R. Wright.
S.M.
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Corfield, Wendy Lea. "Conceptualizing complex meaning systems : the case of management fads." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16535/.
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The thesis is an attempt to apply complex systems thinking to the problem of meaning. It is in two parts. Part 1, Chapter 1 introduces the research agenda and overviews the thesis. Chapter 2 establishes the value of adopting a systems approach to the problem of meaning. The next chapter introduces key concepts of complex systems theory as they apply to sociocultural phenomena, and the last chapter in Part 1 reviews three theories of complex meaning systems (Donald Campbell, Jay Lemke, and Paul Cilliers) from which a preliminary model and agenda for theorising complex meaning systems is proposed. Part 2 of the thesis investigates the phenomena of management fads, applying the models of complex meaning systems formulated in Part 1. No primary empirical work is attempted; rather an analytical engagement is conducted using secondary literature on what we know about such fads. The literature, both primary and secondary, is reviewed and critiqued. The final chapters exemplify the problem of meaning using the theory building and agenda setting from Part 1. The concluding chapter reflects on the adequacy of a complex systems approach to meaning, critiques the process of the thesis and comments upon its contribution.
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Nurmi, Antti. "Essays on management of complex information systems development projects /." Helsinki : Helsinki School of Economics, 2008. http://www.gbv.de/dms/zbw/55963496X.pdf.
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McMillin, Timothy Walter. "Thermal management solutions for low volume complex electronic systems." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7368.
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Thesis (M.S.) -- University of Maryland, College Park, 2007.Thesis research directed by: Dept. of Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Maneschijn, Raynard. "The development of a system to optimise production costs around complex electricity tariffs / R. Maneschijn." Thesis, North-West University, 2012. http://hdl.handle.net/10394/9675.
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Rising South African electricity prices and reduced sales following the 2008 economic recession have led cement manufacturers to seek ways to reduce production costs. Prior research has shown that reduced electricity costs are possible by shifting load from expensive Eskom peak pricing periods to lower cost times. Due to the complex considerations and variables in cement production, this is not typically implemented.
Several simulation and optimisation models are available in literature to schedule plant operation in an electricity cost effective manner. However, these models have not been implemented in practice. The simulation models are reviewed and evaluated for the task of scheduling cement production on South African factories. A model is identified to be implemented, and the requirements for implementing this model on a cement factory are investigated.
A computerised management system is designed to automatically incorporate the required information and data to implement the optimisation model on a practical level. An interface is also designed to allow factory personnel access to the optimised production plan. The system is implemented and evaluated through system level testing.
Four case studies are presented within which the system is implemented on South African cement factories. The performance of the system is evaluated over a nine month period, within which a total cost saving of R8.6-million is reported.Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.
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Mehta, Priyasha. "Deconstructing complex diseases : identification of new phenotypical sub-clusters of Type 2 diabetes using machine learning." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122436.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019Cataloged from PDF version of thesis.
Includes bibliographical references (pages 62-64).
Advances in data science and technology promise to help clinicians diagnose and treat certain conditions. But there are other complex and poorly characterized illnesses for which the drivers and dependent variables are not understood well enough to take full advantage of the copious patient data that may exist. For these diseases new techniques need to be explored to gain better understanding of the nature of the disease, its subtypes, cause, consequence, and presentation. Modern genetics have shown that these diseases often have multiple subtypes, as well as multiple phenotypes as indicated by the new laboratory data. Examples of such diseases include common and important illness such as Type 2 diabetes (T2D) - affecting approximately 30 million Americans, Crohn's Disease - 1 million USA suffers, epilepsy - 3.4 million Americans, and migraines - another 3.2 million in the United States.
Our research explores how machine learning (ML) can be applied to these less well understood complex diseases to improve clinical translation and management. This thesis will discuss how unsupervised machine learning techniques can be used for complex phenotype clustering to identify sub-types of T2D for better clinical management and treatment. T2D is a complex heterogenous disease affecting the world's population at rapidly increasing rates. While clinicians now better understand the heterogeneity of the disease, T2D treatment strategies still remain largely based on populations rather than on a specific patient's subtype. This thesis explores the concept of using data analytics and ML to identify sub-types of T2D as the first step in moving towards precision medicine & treatments.
This thesis includes (a) characterization of T2D as a heterogenous disease, (b) existing research attempts to dissect the disease into sub-types based on phenotypes and gene expressions, and their limitations, (c) phenotype clustering analysis on T2D patients using unsupervised machine learning techniques and MIMIC III database, and (d) analysis of the clusters/subgroups in different ways to understand their clinical significance. With multiple iterations of the clustering experiment, this thesis, (a) provides a good test of concept for sub-classification of T2D patients using unsupervised machine learning techniques such as, clustering and dimension reduction, (b) establishes a data pipeline and clustering model framework to be applied to richer datasets, (c) suggests various experiment design options for further analysis, and (d) establishes a direction for future work including advanced modelling techniques and predictive analytics for complex diseases.
by Priyasha Mehta.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Noor, Muhammad Jehanzeb 1982. "A comprehensive approach to complex system product development : operations management tools applied to automotive design." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39885.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.Includes bibliographical references (leaves 133-135).
The research is based on observations made over a two-year period with the Closures Systems Integrators or CSIs (supervisory engineers who coordinate attribute balance and system decisions for conflicting door attributes) at a North American automobile manufacturer, focusing on organizational and technical improvements in product development. The product development (PD) process for vehicle side doors forms the case study. A Design Structure Matrix model was made of the process by which important closures attributes are managed through PD, Stamping, Manufacturing and Plant Teams. The attribute delivery process is very tightly coupled with many interactions and conflicts between the attributes, and careful system integration and interface management are essential. The study highlights the need for standardized designs and processes to create time for these system-level tasks, along with better knowledge and resource management. Critical inputs for system attributes are identified and it is shown that a lot of rework occurs if these inputs are changed. The Datum Flow Chain method is developed as a way to communicate data, help with assembly decisions and manage interfaces between component owners.
(cont.) An investigation of issues experienced at product launch shows that programs with CSIs have fewer design- related problems during launch, but that CSIs still spend too much time on Design and Release-type tasks for components (instead of a system focus) and fire-fighting. An extensive organizational study reveals the need for more leverage and clearer roles and responsibilities of CSIs. Conclusions on the process are supported by a simulation model and interviews with CSIs and many other engineers. Simulation results also show that adherence to official product development schedules timing is inherently difficult due to the structure of the as-is PD process. A brief comparison to Toyota's closures design process is also part of the thesis but was not part of the project itself. Recommendations for improvement include a set of design tasks that should be standardized, types of analytical tools that should be developed and managerial practices to be followed.
by M. Jehanzeb Noor.
S.M.
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Vantine, William L. "Managing the Risk of Failure in Complex Systems: Insight into the Space Shuttle Challenger Failure." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/40429.
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This dissertation presents a new approach for identifying, assessing, mitigating, and managing the risks of failure in complex systems. It describes the paradigm commonly used today to explain such failures and proposes an alternative paradigm that expands the lens for viewing failures to include alternative theories derived from modern theories of physics. Further, it describes the foundation for each paradigm and illustrates how the paradigms may be applied to a particular system failure.
Today, system failure commonly is analyzed using a paradigm grounded in classical or Newtonian physics. This branch of science embraces the principles of reductionism, cause and effect, and determinism. Reductionism is used to dissect the system failure into its fundamental elements. The principle of cause and effect links the actions that led to the failure to the consequences that result. Analysts use determinism to establish the linear link from one event to another to form the chain that reveals the path from cause to consequence. As a result, each failure has a single cause and a single consequence.
An alternative paradigm, labeled contemporary, incorporates the Newtonian foundation of the classical paradigm, but it does not accept the principles as inviolate. Instead, this contemporary paradigm adopts the principles found in the theories of relativity, quantum mechanics, chaos, and complexity. These theories hold that any analysis of the failure is affected by the frame of reference of the observer. Causes may create non-linear effects and these effects may not be observable directly. In this paradigm, there are assumed to be multiple causes for any system failure. Each cause contributes to the failure to a degree that may not be measurable using techniques of classical physics. The failure itself generates multiple consequences that may be remote in place or time from the site of the failure, and which may affect multiple individuals and organizations. Further, these consequences, are not inevitable, but may be altered by actions taken prior to and responses taken after the occurrence of the failure.
The classical and contemporary paradigms are applied using a single embedded case study, the failure of the space shuttle Challenger. Sources, including literature and popular press articles published prior to and after the failure and NASA documents are reviewed to determine the utility of each paradigm. These reviews are supplemented by interviews with individuals involved in the failure and the official investigations that followed.
This dissertation demonstrates that a combination of the classical and contemporary paradigms provides a more complete, and more accurate, picture of system failure. This combination links the non-deterministic elements of system failure analysis to the more conventional, deterministic theories. This new framework recognizes that the complete prevention of failure cannot be achieved; instead it makes provisions for preparing for and responding to system failure.Ph. D.
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McCarthy, Daniel D. "The management of complex sociobiophysical systems, ecosystem-based management and the Chesapeake Bay Program." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0028/MQ52220.pdf.
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Lasi, Davide. "Identifying opportunities for flexible design of infrastructure : case studies of a space launch complex and LNG for Sardinia." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120893.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2018.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 119-120).
This thesis presents an approach for the identification of opportunities to improve the value of new infrastructures through flexibility. This approach applies to the very early design phase of a new system, where architectural decisions have to be taken under the highest amount of uncertainty. Because the value of optionality increases with uncertainty, it is in this phase that flexibility has the highest potential to positively impact the value of a project. The proposed approach is centered around a list of decisions, common to almost every infrastructure, that can lead to flexible or inflexible systems, and a set of criteria that allows us to make an informed guess of which flexible design opportunities are likely to be valuable by looking at characteristics of the uncertainties. The identified flexible design opportunities are quantified using spreadsheet-based Monte Carlo simulations and optimization. Two case studies demonstrate by example this approach: a European high-latitude space launch complex for satellite constellations in polar orbits, and the Italian strategy to provide natural gas to Sardinia via Small-Scale Liquefied Natural Gas (LNG) infrastructure. The space launch complex case shows that, in presence of market uncertainty, a flexible infrastructure that can support the implementation of different launchers (solid, liquid, or hybrid-motor rockets) lead to a project with higher Expected Net Present Value (ENPV) than an inflexible infrastructure committing upfront to one launcher technology, with the additional benefit of aligning the interests of a hypothetical public-private partnership. The LNG for Sardinia case demonstrates how the combination of the flexibility of capacity expansion in small increments and the flexibility of networking the island with the mainland using a gas power plant leads to a higher ENPV and better Value at Risk than an optimized inflexible infrastructure. This case also introduces a view of the flexibility of networking systems (or sites within a system) to divert excess capacity as an alternative to a reversible capacity expansion, which is rarely available for infrastructures. Both the approach for the identification of flexible design opportunities and the new perspective offered here on the flexibility of networking should be investigated further in a promising domain excluded from the scope of this work: decentralized infrastructures.
by Davide Lasi.
S.M. in Engineering and Management
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Ladd, Dana Forrest. "Extending Two-Dimensional Knowledge Management System Theory with Organizational Activity Systems' Workflow Dynamics." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/3305.
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Between 2005 and 2010 and across 48 countries, including the United States, an increasing positive correlation emerged between national intellectual capital and gross domestic product per capita. The problem remains organizations operating with increasingly complex knowledge networks often lose intellectual capital resulting from ineffective knowledge management practices. The purpose of this study was to provide management opportunities to reduce intellectual capital loss. The first research question addressed how an enhanced intelligent, complex, and adaptive system (ICAS) model could clarify management's understanding of organizational knowledge transfer. The second research question addressed how interdisciplinary theory could become more meaningfully infused to enhance management practices of the organization's knowledge ecosystem. The nature of this study was phenomenological to gain deeper understanding of individual experiences related to knowledge flow phenomena. Data were collected from a single historical research dataset containing 11 subject interviews and analyzed using Moustakas' heuristic framework. Original interviews were collected in 2012 during research within a military unit, included in this study based on theme alignment. Organizational, knowledge management, emergent systems, and cognition theories were synthesized to enhance understandings of emergent ICAS forces. Individuals create unique ICAS flow emergent force dynamics in relation to micro- and macro-meso sensemaking and sensegiving. Findings indicated individual knowledge work significantly shapes emergent ICAS flow dynamics. Collectively enhancing knowledge stewardship over time could foster positive social change by improving national welfare.
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Gensollen, Nicolas. "Modeling and optimizing a distributed power network : a complex system approach of the "prosumer" management in the smart grid." Thesis, Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0019/document.
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Cette thèse est consacrée à l'étude d’agents appelés prosumers parce qu’ils peuvent, à partir d’énergies renouvelables, à la fois produire et consommer de l’électricité. Si leurs productions excèdent leurs propres besoins, ceux-ci cherchent à vendre leur surplus sur des marchés de l’électricité. Nous proposons de modéliser ces prosumers à partir de données météorologiques, ce qui nous a permit de mettre en évidence des corrélations spatio-temporelles non triviales, d'une grande importance pour les agrégateurs qui forment des portefeuilles d’équipements afin de vendre des services à l'opérateur du réseau. Comme un agrégateur est lié par un contrat avec l'opérateur, il peut faire l'objet de sanctions s’il ne remplit pas son rôle. Nous montrons que ces corrélations impactent la stabilité des agrégats, et donc le risque encouru par les agrégateurs. Nous proposons un algorithme minimisant le risque d'un ensemble d’agrégations, tout en maximisant le gain attendu. La mise en place de dispositifs de stockage dans un réseau où les générateurs et les charges sont dynamiques et stochastiques est complexe. Nous proposons de répondre à cette question grâce à la théorie du contrôle. Nous modélisons le système électrique par un réseau d'oscillateurs couplés, dont la dynamique des angles de phase est une approximation de la dynamique réelle du système. Le but est de trouver le sous-ensemble des nœuds du graphe qui, lors d'une perturbation du système, permet le retour à l'équilibre si les bons signaux sont injectés, et ceci avec une énergie minimum. Nous proposons un algorithme pour trouver un placement proche de l'optimum permettant de minimiser l'énergie moyenne de contrôleThis thesis is devoted to the study of agents called prosumers because they can, from renewable, both produce and consume electricity. If their production exceeds their own needs, they are looking to sell their surplus on electricity markets. We propose to model these prosumers from meteorological data, which has allowed us to highlight non trivial spatial and temporal correlations. This is of great importance for aggregators that form portfolios of equipments to sell services to the network operator. As an aggregator is bound by a contract with the operator, it can be subject to penalties if it does not fulfill its role. We show that these correlations impact the stability of aggregates, and therefore the risk taken by the aggregators. We propose an algorithm minimizing the risk of the aggregations, while maximizing the expected gain. The placement of storage devices in a network where generators and loads are stochastic and not fixed is complex. We propose to answer this question with control theory. We model the electrical system as a network of coupled oscillators, whose phase angles dynamics is an approximation of the actual dynamics of the system. The goal is to find the subset of nodes in the graph that, during a disturbance of the system, allows returning to equilibrium if the right signals are injected and this with a minimum energy. We propose an algorithm to find a near optimal placement to minimize the average energy control
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MERCKEL, LOIC ADRIEN LOUIS. "Information Grounding Suite for Building a Situated Knowledge Management System in the Domain of Complex Instruments." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/120376.
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