Relevant bibliographies by topics / Design Structure Matrix (DSM)

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Academic literature on the topic 'Design Structure Matrix (DSM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 May 2024

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Journal articles on the topic "Design Structure Matrix (DSM)"

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Tang, Dun Bing, G. J. Zhang, and S. Dai. "Integration of Axiomatic Design and Design Structure Matrix for Product Design." Advanced Materials Research 44-46 (June 2008): 421–28. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.421.

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Axiomatic design and design structure matrix (DSM) are two popular design methods at the moment, while most related researches only apply the basic ideas of axiomatic design or DSM to some cases. This paper first analyses the disadvantages of both axiomatic design and DSM. After deep investigations, the paper then puts forward that there are strong complementarities between axiomatic design and DSM. Based on the complementarities between axiomatic design and DSM, it is proposed that axiomatic design’s design matrix (DM) can be transformed into corresponding DSM for structural evaluation. In this way, axiomatic design and DSM can benefit from each other. The logic of integration between axiomatic design and DSM is interpreted in this paper. A computer aided conceptual design system has been developed to enable the integration of axiomatic design and DSM.
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Zhu, R. M., and Dun Bing Tang. "Product Development Process Integration Using Design Structure Matrix." Advanced Materials Research 118-120 (June 2010): 800–804. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.800.

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. The Design Structure Matrix (DSM) is becoming a popular representation and analysis tool for system and process modelling. A DSM displays the relationships between components of a system in a compact, visual, and analytically advantageous format which is a square matrix with identical row and column labels. The main goal in basic DSM analysis is to minimize feedbacks by restructuring or re-architecting the process, which is to say by resequencing the rows and columns of the matrix. This widely practiced initial step in analysis is called partitioning, block diagonalization, or block triangularization, and it involves an algorithm for getting the DSM in an upper-triangular form to the extent possible, with a minimum number of subdiagonal marks pulled as close to the diagonal as possible and grouped in blocks. As a consequence, we have to identify the activities which are coupled, the loops and reorganize the matrix in order to reduce the feedbacks. An application example has been presented to illustrate the power of DSM for product development process integration.
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Li, Shuqi. "Design Structure Matrix Approach Applied to Lunar Habitat Design." Buildings 13, no. 5 (May 15, 2023): 1284. http://dx.doi.org/10.3390/buildings13051284.

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Lunar habitat design is a complex endeavor characterized by complicated task-composition, numerous internal iterations, and intense task-coupling. The design process of assembled building in terrestrial construction and the system composition of lunar habitats have been constructed. However, there is insufficient experience to fully understand lunar habitat design missions and likewise there is insufficient coordination between architects and various disciplines. The task flow for sequencing optimization can be determined using a design structure matrix (DSM), which is widely used in engineering. The DSM can reveal necessary interfaces within the lunar habitat system as per relevant interface variables and processes. By decomposing the lunar habitat design process, an initial activity-based DSM is established in the present study. Informational interactions between each design task and its respective intensity are statistically investigated to clarify them across the four dimensions of energy, space, materials, and information. A sequencing algorithm is applied to optimize the design process. Finally, 20 design tasks of lunar habitat design are clarified among four phases: Pre-planning, spatial design, environmental design, and optimization. Related disciplines should coordinate in the design process according to the optimization results, and use the optimized task coupling relationship to build the requirement model and design model in an orderly manner to improve the design efficiency.
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Yang, Qing, and Er Ling Tang. "Optimizing Product Development Projects Based on the Clustered Product Design Structure Matrix (DSM)." Applied Mechanics and Materials 496-500 (January 2014): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.582.

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In order to integrate the process structure with the product structure in product development (PD) projects, this paper proposes a quantitative model for measuring the dependency strength between activities based on the dependency relationship in the product Design Structure Matrix (DSM). Utilizing the quantitative model and the Multi-Domain Matrix (MDM) between process and product domain, the corresponding process DSM is obtained. Furthermore, this paper presents a sequencing optimization method for the process DSM based on rework probability DSM matrix and rework impact DSM matrix and a clustering method for the product DSM. An example is provided to illustrate the utility of the models. The optimization results yield several managerial insights, including: optimize product components and activities simultaneously, how product structure impact on PD process structure and its schedule.
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Yan, Ji Hong, and Chun Hua Feng. "Sustainability-Oriented Product Modular Design Using Design Structure Matrix (DSM) Method." Applied Mechanics and Materials 128-129 (October 2011): 1468–71. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1468.

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With increasing sustainable development consciousness, sustainable design plays an important role not only in design phase but also in manufacturing process. This paper proposes a modular design methodology for achieving sustainable design as well as fulfilling functional requirements. Factors related to function and sustainability of products such as material, manufacturability, component life and so on are defined as modular drivers. Design structure matrix, a structured method which has advantages on representing and analyzing interaction relations among system elements, is employed to establish correlation matrix between components. K-means algorithm is used to integrate the basic components into design modules based on their correlation distance. Furthermore, an evaluation model is established for assessing sustainability of modular products. Finally, a reduction gear is used as a case study example.
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Yang, Qing, and Zhi Lin Liu. "Modeling the Influence of Design Modification on Product Development Projects Based on Structure Methods." Applied Mechanics and Materials 599-601 (August 2014): 2202–5. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.2202.

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This paper proposes a structure method integrating Design Structure Matrix (DSM) and Quality Function Development (QFD) to analyze the impact of design modification on Product Development (PD) Projects. Firstly, we build a QFD to represent the relationship between functional requirements and design parameters for quantifying the influence of function modification on design parameters, product and process. And a model of measuring dependency strengths in the function DSM is presented. Secondly, the model deducing a derived DSM matrix from a known DSM is built based on Multi-Domain Matrix (MDM). Finally, the derived process DSM is conducted sequence optimization.
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Li, Xiang, Bo Cheng Zhao, Xue Qing Li, Shen Hua Zhou, Hai Yu Tang, and Zhi Hong Sun. "Innovative Design of Circular Loom Based on Integration of Axiomatic Design and Design Structure Matrix." Advanced Materials Research 940 (June 2014): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amr.940.197.

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A new kind of three-dimensional (3D) circular loom was advanced. With the help of the integration theory of the Axiomatic Design (AD) and Design Structure Matrix (DSM), the whole system of the 3D circular loom was well designed. It not only can weave nylon yarn and aramid yarn which have good wear-resistance property, but also can weave special fibers without serious damage such as carbon fibers which are fragile. And based on this, one case was used to present the theoretical derivation of compound design matrix AD and DSM. Some schemes of mechanical design were proposed to solve the current problems in the process of carbon fiber weaving.
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Nguyen, Thanh Cong, and Yao Jin. "Modeling the Collaborative Design of the Automotive Powertrain System Based on the Design Structure Matrix." Applied Mechanics and Materials 789-790 (September 2015): 1311–16. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.1311.

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This paper examines the application of proposed Design Structure Matrix (DSM) by modeling the collaborative design of the Automotive Powertrain System. A task of the whole design process is divided into several levels and some specific design tasks. Respectively, the flow diagram is set up based on the DSM principle. In order to optimize the design process and to shorten the development cycle, detailed analysis and reconstruction of DSM were performed by eliminating iterative design process.
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Hoffmann, Peter, Yutaka Nomaguchi, Keishiro Hara, Kana Sawai, Ingenuin Gasser, Myriam Albrecht, Benjamin Bechtel, et al. "Multi-Domain Design Structure Matrix Approach Applied to Urban System Modeling." Urban Science 4, no. 2 (June 21, 2020): 28. http://dx.doi.org/10.3390/urbansci4020028.

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Modeling the urban system for urban health and well-being with the aim of finding ways to optimize the well-being of urban dwellers is a complex task. Different modeling approaches that consider specific parts of the urban system, e.g., environmental stressors, urban society, and urban morphology, need to be integrated. The conceptual model of health-related urban well-being (UrbWellth) has been constructed to provide a structure for an integrated modeling framework. However, interfaces between the different modeling approaches were not sufficiently identified until now. The challenge to specify and operationalize these interfaces is met by using the Design Structure Matrix (DSM) concept, which is widely used in design engineering. It is used here to identify necessary interfaces within the urban system by determining the relevant interface variables and processes. The conceptual model for UrbWellth is used to construct a DSM. The results of a clustering of this UrbWellth-based DSM reveal that the structure of the conceptual model is indeed suitable to serve as a basis for an integrated model. Further, a Multi-Domain DSM (MDDSM), which is an extension of the DSM based on expert knowledge from individual modelers, identified the interface variables for the integrated model components as well as the processes for which different modeling approaches need to be coordinated. Moreover, the approach based on MDDSM identified processes that are not yet covered by the available modeling approaches.
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Amalia, Ariani, M. Dachyar, and Farizal. "Scheduling of Aircraft Design Project: A Comparison of Critical Path Method, Design Structure Matrix and Genetic Algorithm Approaches." MATEC Web of Conferences 248 (2018): 03011. http://dx.doi.org/10.1051/matecconf/201824803011.

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The purpose of this study to minimize the overall duration of aircraft design project in Indonesia. This study proposes a combination method of Design Structure Matrix (DSM) and Genetic Algorithm (GA) for scheduling aircraft design project activities. DSM is used to identify the information flow between project activities. GA use reworks data, which was the result output of DSM, and activity duration to optimize the task sequence by considering the human resource constraints. A comparative analysis was conducted between the schedule based on DSM and GA and schedule based on Critical Path Method. Combination of DSM and GA obtained 63 days shorter project durations compared to CPM. This research is convenient for design projects scheduling with limited resources that can be obtained by using alternative methods other than traditional methods.
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Dissertations / Theses on the topic "Design Structure Matrix (DSM)"

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Jin, Shengzhe. "Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039.

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Jun, Jonathan Ho. "An abductive approach to Design Structure Matrix (DSM) partitioning using frequency domain scoring." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118547.

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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 65-66).
A key benefit of the DSM representation is that it gives a visual interpretation of relationships between its elements. The array format allows us to sort the elements using clustering algorithms which try to group the relationships into modules which are as independent as possible. There are a number of clustering algorithms available which may each end up sorting the DSMs differently using different objectives, for example, activities in a time-based DSM can be sequenced to reduce iterations or to improve concurrency. However, most of these algorithms take a deductive approach which results in only one 'optimal' output. If an abductive approach is used instead, multiple solutions can be generated for the user to evaluate, some which may provide insight on useful configurations that he or she may have overlooked. In electrical engineering, we often make use of transforms to convert time domain signals into frequency domain signals in order to glean additional information which may not have been initially apparent. In this respect, using a frequency domain transform on a DSM matrix gives us additional insights into the relationships represented. An example of one such insight would be into the sorted-ness of a DSM to which module cuts can be defined. By applying a frequency transform to a pixel representation of the DSM and examining the transform coefficients, we gain an understanding of what image patterns exist in the DSM. Rules pertaining to these coefficients could then be defined which would classify a DSM as well sorted (with the dependencies being grouped up) or being unsorted (with the dependencies being scattered). This thesis demonstrates the above technique to rank each permutation of an 8x8 matrix on their conformance to certain rules or behaviors in order to filter out useful configurations in an abductive approach. When comparing the highest-ranking hypotheses against the optimal result from other clustering and sequencing algorithms, this algorithm performed on par with them to reduce external dependencies and iterations respectively. The frequency based scoring was also shown to be a useful metric when determining the optimal module cut of a system.
by Jonathan Ho Jun.
S.M. in Engineering and Management
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Kristof, Gary Michael. "Planning Business Improvement using Analytic Hierarchy Process (AHP) and Design Structure Matrix (DSM)." Thesis, Montana State University, 2005. http://etd.lib.montana.edu/etd/2005/kristof/KristofG1205.pdf.

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Many management system engineering ideas and theories have evolved to help businesses grow and achieve their goals. Applying these ideas and theories to a business system is a strategic planning issue and results in a bewildering array of strategic alternatives for business system improvement. Choosing the appropriate alternatives is a complex and difficult decision. The most appropriate strategic alternative must be executable. To be executable the strategic alternative must not only be technically feasible, but must also overcome social and cultural obstructions. This research presents a planning approach to select the most appropriate strategic alternative and to plan its implementation. The planning approach is built on a planning framework synthesized from previous research. This framework involves the following planning functions: 1. Determine business strategic alternatives 2. Acquire business knowledge 3. Shape business for strategic advantage 4. Implement plan - operational engagement The planning approach uses Analytic Hierarchy Process (AHP), Project Management Tools (PMT) and Design Structure Matrix (DSM) to implement these functions and plan business improvements. This research demonstrates that rational hierarchies appropriate for strategic alternatives analysis using AHP can be constructed. Business scenarios are used to show that AHP method prioritizes alternative strategies differently under different business circumstances. In addition, the data generated by the AHP can be aggregated into statements of work and input into DSM to generate a project plan to implement organizational design changes and achieve strategic intent.
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Bulloch, Benjamin (Benjamin Edward), and John Sullivan. "Application of the Design Structure Matrix (DSM) to the real estate development process." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54851.

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Thesis (S.M.)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 93-95).
This thesis presents a pioneering application of an engineering systems framework, the Design Structure Matrix (DSM), to model the real estate development (RED) process. The DSM is a process modeling tool that originated recently in the branches of engineering systems and management science, and is primarily used to study product development processes. The DSM is an n-squared graphical matrix representation of a process that is particularly well suited to model both the sequential and iterative informational relationships between tasks in a product development process. The similarities between product development and the real estate development process make DSM an excellent fit for applying the DSM. The thesis first reviews existing models of the RED process but finds them lacking a combination of granularity and ability to model the highly iterative nature of the RED process. This limits their effectiveness for conveying information useful to practitioners. No previous RED model describes the process at a task level or has the ability to model iterative or sequential information flows between tasks. The DSM developed in this thesis first presents a normative or baseline model of a RED project. The model was developed through the participation and assistance of MIT/CRE industry partner, Jones Lang LaSalle (Boston Office). Through a series of interviews and meetings, the authors first developed a Six Stage Event Sequence model of RED with decision-gates found to occur during the process. The six stages were then expanded with JLL's assistance into a table of 91 individual tasks necessary for successful completion of a RED project.
(cont.) Finally, again with JLL's engagement, the 91X91 'Baseline' RED process DSM was constructed, identifying 1,148 planned informational inter-task interactions (out of 8,281 potential interactions). The 'Baseline' DSM model was then manipulated to highlight important aspects of the RED process including the iterative and interdisciplinary nature of RED. Several typical development scenarios are then modeled to highlight the utility of DSM as a management tool in practice. The models show how unplanned iteration can become a significant cause of project risk and failure. They also highlight the risks and opportunities that task re-sequencing can have on a project. This thesis demonstrates the DSM to be a useful and effective model of the RED process enabling new insight and understanding. The highly complex and iterative RED process can be graphically modeled in great detail in a visually appealing manner. Additionally, the RED DSM proves to be an adaptive and manipulative tool that allows for a multi-layer grasping of the RED process, able to assist in project management, change management, identification of risks and opportunities, and firm-level organizational structure and procedures. Additionally, the RED DSM model proves to be a useful pedagogical device for teaching real estate students.
by Benjamin Bulloch and John Sullivan.
S.M.
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Gualberto, Ana Cristina Ferrari. "Aplicação da ferramenta DSM - Design Structure Matrix ao planejamento do processo de projeto de edificações." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3146/tde-04062013-143901/.

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O presente trabalho apresenta uma análise da aplicação da ferramenta DSM Design Structure Matrix ao planejamento do processo de projeto de edificações. O objetivo principal desta pesquisa é a análise dos Manuais de Escopo de Projetos e Serviços para a Indústria Imobiliária do ponto de vista do planejamento do processo de projeto, utilizando a ferramenta DSM. Para desenvolvimento da pesquisa primeiramente foi feita uma revisão bibliográfica, onde selecionou-se a metodologia ADePT para o desenvolvimento do planejamento do processo de projeto. Em seguida foram aplicadas as duas primeiras etapas da metodologia ADePT definição do processo e otimização do processo, que forneceram material para uma análise da aplicação da ferramenta DSM ao planejamento do processo de projeto e uma análise crítica sobre os Manuais de Escopo de Projetos e Serviços para a Indústria Imobiliária. O cumprimento das duas primeiras etapas da metodologia ADePT forneceu material com informações que permitiram a observação de algumas incoerências e permitiu a apresentação de críticas e sugestões de alterações em seu conteúdo, como proposta de melhoria à ferramenta-guia que estes se propõem a ser. Por fim, a partir da validação da DSM como ferramenta para o desenvolvimento do planejamento do processo de projeto e com base nas alterações sugeridas para os manuais, foi proposto um novo modelo de processo de projeto.
This study presents an analysis of application of DSM Design Structure Matrix to the planning process of building design. The main objective this study is the analysis of manuals Scope of Projects and Services for the Real State Industry in terms of planning the design process, using the DSM. For development of the study was first done a literature review, where we selected the ADEPT methodology to development planning this process. When we applied the first two stages of ADEPT methodology process definition and optimization of the process, which provided material for an analysis of the implementation of DSM planning in the design process and a critical analysis of the Manuals Scope of Projects and Services for Real State Industry. Compliance with the first two stages of ADEPT methodology provided material with information that allowed the observation of some inconsistencies and allowed the presentation of comments and suggestions for changes in content, as proposed improvements to the tool guide that they purport to be. Finally, from the validation of the DSM as a tool for development planning and design process based on the suggested changes to the manuals, we proposed a new model of the design process.
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Go, Julie W. "Case studies in DSM : utilizing the Design Structure Matrix to improve New Product Introduction." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39588.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2007.
Includes bibliographical references (p. 63).
This thesis describes a project that applies the Design Structure Matrix (DSM) in support of the Manufacturing Excellence (MX) program at Cisco Systems, Inc to reduce the cycle time of new product development initiatives (NPI). Because they are inherently iterative with interdependent tasks, NPIs are difficult to manage. Two case studies applying the DSM were performed and used to study the inputs and outputs of the process as well as the dependencies between the process steps. Both case studies indicated that defining product requirements and needs upfront helped to eliminate rework later on in the process. The DSMs also showed that cycle time and standard deviation of cycle time were especially sensitive to interactions between changes in the Bill of Materials (BOM) and other tasks. In fact there was a "tipping point" where reducing the dependency between tasks could yield significant reductions in cycle time and standard deviation of cycle time. More significantly, the case studies highlighted the large number of stakeholders involved in the process and revealed the degree to which engineering and manufacturing must work together to reduce NPI cycle times.
(cont.) In fact, the name "Manufacturing Excellence Initiative in NPI" is a misnomer. New Product Introduction is not just the job of manufacturing but is highly integrated between such groups as marketing, design, and engineering. If the Mx Initiative in NPI is to fully meet its potential, all of these groups must fully realize this. In addition, there is a need for process infrastructure, data infrastructure, and close examination of incentives. This thesis thus shows that in order for Cisco's process improvement initiatives to succeed, buy-in from all relevant stakeholders must be won.
by Julie W. Go.
S.M.
M.B.A.
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Baudin, Mathieu. "Piloter la Complexité : Utilisation de DSM et de l'algèbre d'intervalles d'Allen pour la planification collaborative." Thesis, Paris, ENSAM, 2014. http://www.theses.fr/2014ENAM0027/document.

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Cette thèse propose une méthodologie de pilotage d'organisations complexes, ens'intéressant à de nouvelles méthodes de planification collaborative et d'optimisation d'interventions en environnements soumis à des rayonnements ionisants. En nous basant sur l'étude d'installations scientifiques et technologiques complexes tels que celles du CERN à Genève (Suisse) et de la GSI à Darmstadt (Allemagne), nous y analysons les besoins et contraintes de planification imposés par les environnements à risques en général, et par lesrayonnements ionisants en particulier. Les implications liées à la collaboration sont ensuite détaillées, et un modèle ontologique d'intervention est proposé afin de sélectionner les méthodes les plus adaptées au problème étudié. La méthode proposée dans cette thèse repose sur des techniques éprouvées en planification de projets ainsi qu'en conception de produits comme la Design Structure Matrix (DSM). Elle introduit en revanche dans ces domaines des méthodes habituellement rencontrées en intelligence artificielle : les algèbres temporelles qualitatives et la propagation des contraintes temporelles, ainsi que la recherche de compromis en cas de conflit. Cette « DSM Collaborative » a été implémentée dans une application prototype testée sur des cas pratiques au CERN et à la GSI, dont le premier est décrit dans l'ultime chapitre de cette thèse. C'est une approche qui place la ressource(essentiellement humaine) et les contraintes temporelles au coeur du processus de planification. Elle met l'accent sur la collaboration entre les différents participants, ainsi que sur la simulation et la comparaison multicritère de multiples scenarii plutôt que sur la recherche d'un unique optimum souvent irréalisable sur le plan pratique
This work proposes a methodology to handle complexity in organizations byfocusing on innovative and collaborative planning and scheduling methods dedicated to the optimization of interventions in environments emitting ionizing radiations. By taking as work environment highly complex and technological scientific facilities such as the ones of CERN in Geneva (Switzerland) and GSI in Darmstadt (Germany), we analyze the needs and requirements induced in intervention planning and scheduling by hazardous environments in general, and then more specifically by ionizing radiations. The implications of collaborative work are then scrutinized, and an ontological model for interventions is designed in order to select the methods best suited to our problem. The framework we present in this work relies on methods sucessfully used in project planning and scheduling and innovative product design like the Design Structure Matrix (DSM). It also introduces in these fields methods borrowed to artificial intelligence planning and scheduling such as the temporal qualitative algebras, constraint propagation, and the search of compromises in case of conflicts. This so called “Collaborative DSM” has been implemented in a prototype software application tested at CERN and GSI on practical applications. The very first one and its results are presented in the final chapter of this thesis. This framework aims at placing resources (mostly human resources) and temporal constraints at the heart of the planning and scheduling process. It focuses on collaboration between the different actors involved, from coordinators to technicians, and on simulation and multiple-criteria comparison of several scenarios, rather than searching for a unique optimum, which often tends to be non-practical, should one even be found
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Bonelli, Steven V. (Steven Vincent), and Guerra Adrián M. González. "Application of the Design Structure Matrix (DSM) to the real estate development process using modular construction methods." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78241.

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Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 111-112).
Real estate development (RED) has traditionally been a very dynamic business, where real estate developers strive to turn an idea into a real asset, by delivering a quality project on time and on budget. In recent years, Modular Construction Methods (MCM) has arisen as an innovative solution to commercial RED projects that require higher levels of the three aforementioned factors, with a special emphasis placed on time. The purpose of our thesis is to explain MCM and its impact on RED by analyzing the interdependent relationships between the different tasks performed during the course of a development. We have accomplished this by using the Design Structure Matrix (DSM), a systems engineering tool, to map out the dependencies between development tasks in a graphical manner. To develop our DSM model for an RED process that uses MCM we conducted interviews with the senior management at RJ Finlay, a New Hampshire based full service real estate firm and Keiser Industries, a modular manufacturing company that operates in Maine and is owned by RJ Finlay. To fully understand the real application of the MCM process to RED, we met with the general contractor, lead architect and project management team for 30 Haven, a commercial RED that uses MCM. 30 Haven is located in Reading, Massachusetts and has been co-developed through an integrated project delivery (IPD) process by RJ Finlay and Oaktree development, using an in-house general contractor and Keiser Industries as its modular manufacturer. Our interviews occurred weeks before the project was completed in the summer of 2012. This allowed us to interview the involved parties about the whole process from inception to construction completion. This helped us further understand the actual problems a RED process using MCM can face throughout the preconstruction and construction processes. We then developed a DSM that showcases the different stages that a RED process using MCM have to go through and the planned and unplanned iterative processes for each stage. Planned iterations are feedback loops between tasks that are meant to rework tasks that forcibly need it, while unplanned iterations reflect feedback loops that occur because of unexpected events. Our thesis has focused on proposing proactive solutions to the unexpected events (referred to as "failure modes") a RED process using MCM can face, by either eliminating them or minimizing their likelihood and impact. The DSM helped facilitate the development of both a normative model and an optimal one, where our solutions for the unplanned iterations were applied. We complemented our findings with a hypothetical financial model that uses the normative and optimal DSM models to show the difference between both in terms of the returns, time and cost for a generic multifamily RED that uses MCM.
by Steven V. Bonelli and Adrián M. González Guerra.
S.M.in Real Estate Development
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Sachidanandam, Vignesh. "Handling research data at the front end of the design process." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1217515976.

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Baudin, Mathieu. "Piloter la Complexité : Utilisation de DSM et de l'algèbre d'intervalles d'Allen pour la planification collaborative." Electronic Thesis or Diss., Paris, ENSAM, 2014. http://www.theses.fr/2014ENAM0027.

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Cette thèse propose une méthodologie de pilotage d'organisations complexes, ens'intéressant à de nouvelles méthodes de planification collaborative et d'optimisation d'interventions en environnements soumis à des rayonnements ionisants. En nous basant sur l'étude d'installations scientifiques et technologiques complexes tels que celles du CERN à Genève (Suisse) et de la GSI à Darmstadt (Allemagne), nous y analysons les besoins et contraintes de planification imposés par les environnements à risques en général, et par lesrayonnements ionisants en particulier. Les implications liées à la collaboration sont ensuite détaillées, et un modèle ontologique d'intervention est proposé afin de sélectionner les méthodes les plus adaptées au problème étudié. La méthode proposée dans cette thèse repose sur des techniques éprouvées en planification de projets ainsi qu'en conception de produits comme la Design Structure Matrix (DSM). Elle introduit en revanche dans ces domaines des méthodes habituellement rencontrées en intelligence artificielle : les algèbres temporelles qualitatives et la propagation des contraintes temporelles, ainsi que la recherche de compromis en cas de conflit. Cette « DSM Collaborative » a été implémentée dans une application prototype testée sur des cas pratiques au CERN et à la GSI, dont le premier est décrit dans l'ultime chapitre de cette thèse. C'est une approche qui place la ressource(essentiellement humaine) et les contraintes temporelles au coeur du processus de planification. Elle met l'accent sur la collaboration entre les différents participants, ainsi que sur la simulation et la comparaison multicritère de multiples scenarii plutôt que sur la recherche d'un unique optimum souvent irréalisable sur le plan pratique
This work proposes a methodology to handle complexity in organizations byfocusing on innovative and collaborative planning and scheduling methods dedicated to the optimization of interventions in environments emitting ionizing radiations. By taking as work environment highly complex and technological scientific facilities such as the ones of CERN in Geneva (Switzerland) and GSI in Darmstadt (Germany), we analyze the needs and requirements induced in intervention planning and scheduling by hazardous environments in general, and then more specifically by ionizing radiations. The implications of collaborative work are then scrutinized, and an ontological model for interventions is designed in order to select the methods best suited to our problem. The framework we present in this work relies on methods sucessfully used in project planning and scheduling and innovative product design like the Design Structure Matrix (DSM). It also introduces in these fields methods borrowed to artificial intelligence planning and scheduling such as the temporal qualitative algebras, constraint propagation, and the search of compromises in case of conflicts. This so called “Collaborative DSM” has been implemented in a prototype software application tested at CERN and GSI on practical applications. The very first one and its results are presented in the final chapter of this thesis. This framework aims at placing resources (mostly human resources) and temporal constraints at the heart of the planning and scheduling process. It focuses on collaboration between the different actors involved, from coordinators to technicians, and on simulation and multiple-criteria comparison of several scenarios, rather than searching for a unique optimum, which often tends to be non-practical, should one even be found
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Books on the topic "Design Structure Matrix (DSM)"

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1971-, Browning Tyson R., ed. Design structure matrix methods and applications. Cambridge, Mass: MIT Press, 2012.

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Design Structure Matrix Methods and Applications. MIT Press, 2016.

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Eppinger, Steven D., and Tyson R. Browning. Design Structure Matrix Methods and Applications. The MIT Press, 2012. http://dx.doi.org/10.7551/mitpress/8896.001.0001.

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Eppinger, Steven Daniel, Joel Moses, and Tyson R. Browning. Design Structure Matrix Methods and Applications. MIT Press, 2012.

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Eppinger, Steven Daniel, and Tyson R. Browning. Design Structure Matrix Methods and Applications. MIT Press, 2018.

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Book chapters on the topic "Design Structure Matrix (DSM)"

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Marchesi, Marianna. "Axiomatic Design and Design Structure Matrix for Circular Building Design." In Lecture Notes in Civil Engineering, 424–35. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57800-7_39.

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AbstractThe study aims to propose the integration of Axiomatic Design (AD) and Design Structure Matrix (DSM) methods to support the implementation of building reversibility within circular building design (CBD). In CBD, strategies for building reversibility have been formulated, but available tools mainly support design evaluation in the late stages. On the other side, in engineering design, methods to support reversibility in early design stages are available. AD and DSM are two matrix-based product modelling methods that are used in the analysis and modelling of relations in complex systems from the concept design. AD guides the designers in modelling the relationships between functional elements and physical components in a structured manner from the early design stages. DSM provides a method for modelling physical relationships among the physical components and groups them into modules. Despite the potential benefits of using these matrix-based design methods, previous studies on building reversibility within CBD have not yet explored this proposition. The study intends to place the theoretical premises for the application of AD combined with DSM within CBD for building reversibility. The study applies theory-oriented research by exploring, collecting, and evaluating relevant information from different theoretical and practical sources to formulate propositions on building reversibility within CBD. Propositions will be tested in future real-world applications while detecting challenges and limitations to assess effectiveness in supporting building reversibility within CBD.
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Wang, Bing, Farshad Madani, Xiaowen Wang, Liying Wang, and Corey White. "Design Structure Matrix." In Planning and Roadmapping Technological Innovations, 53–65. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02973-3_3.

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Tang, Dunbing, Leilei Yin, and Inayat Ullah. "Product Design as Integration of Axiomatic Design and Design Structure Matrix." In Matrix-based Product Design and Change Management, 1–20. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5077-0_1.

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Tang, Dunbing, Leilei Yin, and Inayat Ullah. "Product Design Knowledge Management Based on Design Structure Matrix." In Matrix-based Product Design and Change Management, 21–34. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5077-0_2.

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Lee, Dabin, Sangjin Joo, Soyoon Park, Hwang Kim, and KwanMyung Kim. "A Dimensional Themes’ Matrix for Identifying Design Problem Structure." In Advances in Industrial Design, 378–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51194-4_50.

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Browning, Tyson R. "Appendix I: Notes on the Design Structure Matrix." In Product and Systems Development, 215–20. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118592977.app1.

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Zhang, Weimin, and Shangang Jia. "Software Process Integration Based on Design Structure Matrix." In Communications in Computer and Information Science, 188–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21411-0_31.

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Lu, Jianhua, Xiaoming Tao, and Ning Ge. "An LDPC Code Design with Sub-matrix Structure." In SpringerBriefs in Electrical and Computer Engineering, 45–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15711-5_4.

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Huang, Yuexiang, Chun-Hsien Chen, and Li Pheng Khoo. "A Kansei Clustering Method for Emotional Design Using Design Structure Matrix." In Advanced Concurrent Engineering, 127–35. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-024-3_13.

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Gunawan, Indra. "Managing Complex Engineering Projects with Design Structure Matrix Methods." In Engineering Asset Management and Infrastructure Sustainability, 275–82. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_23.

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Conference papers on the topic "Design Structure Matrix (DSM)"

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Li, Simon, and Li Chen. "A Unified Framework for Decomposition of Design Structure Matrix and Domain Mapping Matrix." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49542.

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In literature, design structure matrix (DSM), which is a square matrix, has been widely used to address single-domain dependency relationships (e.g., product architecture, process workflow, and organization structure). To extend the DSM efforts, a rectangular matrix becomes a logical format to capture and analyze cross-domain dependency relationships, namely, domain mapping matrix (DMM) [1]. In this context, this paper proposes a unified framework for decomposition of DSM and DMM. The unified framework consists of four methodological phases to offer the functions of DSM clustering, DSM sequencing, and DMM decomposition. To support the development of this framework, various decomposition-related techniques from applied mathematics and engineering design are reviewed. Three matrix examples have been used to illustrate the framework’s applicability.
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Tran, Jintin, Mike Stowe, Markus Plattner, and Markus Zimmermann. "Using the Design Structure Matrix for Space System Design." In The 21st International DSM Conference. The Design Society, 2019. http://dx.doi.org/10.35199/dsm2019.17.

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Durango, Ana Cristina, Francesca Luciani, William De Paula Ferreira, and Fabiano Armellini. "Design Structure Matrix and Its Applications in Innovation Management." In 24th International DSM Conference. The Design Society, 2022. http://dx.doi.org/10.35199/dsm2022.09.

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Keddari, Nassim, Sonia Kherbachi, and Naima Benkhider. "Supporting Sustainable Manufacturing Practices Implementation using Design Structure Matrix in the Algerian Economy." In 23rd International DSM Conference. The Design Society, 2021. http://dx.doi.org/10.35199/dsm2021.10.

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Kreimeyer, Matthias, Stefanie Braun, Matthias Gu¨rtler, and Udo Lindemann. "Relating Two Domains via a Third: An Approach to Overcome Ambiguous Attributions Using Multiple Domain Matrices." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49249.

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Design Structure Matrices (DSM) and Domain Mapping Matrices (DMM) are commonly used to model and analyze the relationships within one domain (DSM) or between two domains (DMM). Being assembled into one larger square matrix, having DSMs on its diagonal and DMMs in all other fields, a so-called Multiple Domain Matrix (MDM) is formed. When relating two domains using a DMM, a problem arises when the nature of one individual relationship between the two domains is to be described. Usually, this is modeled by annotating each relationship with the additional information, much like comments in spreadsheet software. This, however, is yet impossible if the relationships should be in matrix notation to allow for algorithmic matrix analyses. Equally, this way, the annotations are not accessible as elements of another matrix, e.g. as DSM. This paper suggests a generic principle to solve the described problem in a way consistent with the matrix methodology. It proposes an approach using MDM and is thereby able to unambiguously provide the nature of each relationship between the elements of two domains. As a DSM is a mere case of a DMM having two identical domains, the approach proposed can equally be used to enrich the relationships within a DSM.
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"Design Structure Matrix and Discrete Event Simulation methods produce similar estimates of coordination load." In 25th International DSM Conference. The Design Society, 2023. http://dx.doi.org/10.35199/dsm2023.02.

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Borjesson, Fredrik, and Katja Hölttä-Otto. "Improved Clustering Algorithm for Design Structure Matrix." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70076.

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For clustering a large Design Structure Matrix (DSM), computerized algorithms are necessary. A common algorithm by Thebeau uses stochastic hill-climbing to avoid local optima. The output of the algorithm is stochastic, and to be certain a very good clustering solution has been obtained, it may be necessary to run the algorithm thousands of times. To make this feasible in practice, the algorithm must be computationally efficient. Two algorithmic improvements are presented. Together they improve the quality of the results obtained and increase speed significantly for normal clustering problems. The proposed new algorithm is applied to a cordless handheld vacuum cleaner.
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Yassine, Ali, Nicolay Worren, and Tore Christiansen. "Dedicated vs. Shared Resources in Organizations: Modifying the Design Structure Matrix (DSM) to Support Consolidation Decisions." In 23rd International DSM Conference. The Design Society, 2021. http://dx.doi.org/10.35199/dsm2021.2.

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Brady, Timothy K. "Utilization of Dependency Structure Matrix Analysis to Assess Complex Project Designs." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dtm-34021.

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This paper describes a framework for evaluating the long-term effect of early project implementation decisions. Early decisions, such as establishing the system architecture and selecting technology of particular maturity, can have lasting impact throughout the project development process and during the project’s operations phase. A systems engineering analysis framework using two different extensions of dependency structure matrix (DSM) analysis was developed to provide a comprehensive system view of the project architecture and the technology choices. An “interface DSM” mapped the dependence of components on one another and identified the impact of component criticality on the project’s operations. A “technology risk DSM” included a component technology risk factor to help identify the patterns of system level risk. This analytical framework can be used to expand the design and management teams’ holistic view of the project, which can be used to enhance project implementation decision-making. The analytical framework described in this paper was applied to two spacecraft projects, which served as case studies. Analytical observations were compared to post-project lessons learned to develop a general understanding of the relationship between the critical elements of each project’s structure and the successful implementation approach for each case.
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Yassine, Ali A., Daniel E. Whitney, Jerry Lavine, and Tony Zambito. "Do-It-Right-First-Time (DRFT) Approach to Design Structure Matrix (DSM) Restructuring." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dtm-14547.

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Abstract This paper argues, using two real-world applications from the automotive industry, that the biggest benefit of a Design Structure Matrix (DSM) model may come not from resequencing and partitioning, but rather from “rewiring” the process/blocks. “Rewiring” means redefining relationships among elements and/or inserting new elements into the matrix. This requires intimate understanding of the process and cannot be done with application of context-free partitioning algorithms. The Do-it-Right-First-Time (DRFT) approach to DSM restructuring is another way to look at a DSM by inspecting the sources of iteration within a block and reversing it through inserting a DRFT activity at the beginning of the block. In this way, the traditional Design-Build-Test “Cycle” is reversed into a DRFT-Design-Build “Sequence”. That is, the “wiring diagram” of a process or system overpowers the behavior of the individual nodes, so changing the system requires changing the wiring.
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Reports on the topic "Design Structure Matrix (DSM)"

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Browning, Tyson R. Design Structure Matrix (DSM) Methods and Applications for Naval Ship Design. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada587357.

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Schijman, Agustina. Evaluation of the Results of the Realignment Background Paper: Composition and Dynamics of Project Teams at the IDB: Analysis of staff Fragmentation. Inter-American Development Bank, March 2014. http://dx.doi.org/10.18235/0009272.

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In 2006, the Board of Governors of the Inter-American Development Bank (IDB,or the Bank) authorized a major restructuring of the Bank (the "Realignment") to address the perceived loss of relevance and presence of the institution in Latin America and the Caribbean (LAC). The Realignment introduced a number of reforms, including a new organizational structure (the Matrix Structure), a revised process for project design and execution (the New Project Cycle), and the renewal of human resource skills and decentralization of personnel. Paper assesses the main changes in the composition and dynamics of IDB project teams throughout the life of loan operations, with a special emphasis on staff fragmentation between design and execution.
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Soldano, Miguel, Michelle Fryer, Euric Allan Bobb, Renato Puch, Alayna Tetreault, Jonathan Rose, Pablo Alonso, et al. Evaluation of the Results of the Realignment. Inter-American Development Bank, March 2014. http://dx.doi.org/10.18235/0010579.

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The Realignment defined four key goals to respond to a perceived loss of Bank relevance and presence in LAC: sharpening sector focus and expertise, sharpening country focus, strengthening risk- and results-based management, and enhancing institutional efficiency. To achieve these goals, it proposed adjustments to the Bank's structure, processes, and human resources and incentives which included, among other things, the introduction of a new matrix organization, the delegation of additional responsibilities to country offices and project team leaders, the updating of operational and corporate processes, and changes in staffing and HR policies. This evaluation concludes that the Realignment's underlying direction toward a matrix structure and greater decentralization were appropriate, but it has not yet achieved all of its objectives. There are several noteworthy trends on the positive side. The technical skills of Bank staff have improved, the capacity to generate and disseminate knowledge has increased, and more authority has been delegated to country representatives and team leaders, bringing IDB closer to the client. The collaboration between staff in the same sector in country offices and headquarters has increased, as has the continuity of project team membership over the project cycle. However, the matrix is not yet functioning well. VPC has limited authority and few mechanisms to coordinate Bank inputs at the country level to ensure delivery of a coherent and efficient program. VPS and VPP have limited opportunity or incentive to bring their knowledge and influence to bear in country strategy and programming. Sector silos are tall and the pressures to lend and disburse greater than ever. As a result, the Bank and its borrowing countries are not reaping the full potential gains from cross-matrix coordination and collaboration in country strategy and program formulation, project design and implementation, and knowledge sharing. Moreover, the evaluation did not find conclusive evidence of improved efficiency. Some processes (such as quality control at the project level) appear unnecessarily time-consuming and uncertain, and the lack of full cost accounting or binding budget constraints for task teams weakens incentives for the efficient use of resources. The report offers five broad recommendations: (i) to enhance country focus, further strengthen the country program management function in country offices; (ii) to enhance inter-VP coordination and country program coherence, strengthen the role of VPS and VPP in country strategy-setting and programming; (iii) To enhance development effectiveness, strengthen mechanisms for quality control of Bank operational products; (iv) to enhance efficiency, continue to strengthen budget processes and information systems to ensure full and accurate cost accounting; and, (v) to promote effectiveness and efficiency, fill a significantly higher share of management positions through transparent competitive processes. Under each recommendation the evaluation proposes specific measures Bank management should consider (among other options) to move in the directions recommended.
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