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Journal articles on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Zhang, P., J. Liang, and D. Yan. "Evaluation of Online Image Guided Adaptive Inverse Planning Methodology." International Journal of Radiation Oncology*Biology*Physics 69, no. 3 (November 2007): S641—S642. http://dx.doi.org/10.1016/j.ijrobp.2007.07.1980.
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Solis Barreto, Priscila, and Paulo Henrique Portela de Carvalho. "A Planning and Adaptive Routing Methodology for Multimedia Networks." IEEE Latin America Transactions 7, no. 6 (December 2009): 673–80. http://dx.doi.org/10.1109/tla.2009.5419365.
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Zussman, E., and M. Zhou. "A methodology for modeling and adaptive planning of disassembly processes." IEEE Transactions on Robotics and Automation 15, no. 1 (1999): 190–94. http://dx.doi.org/10.1109/70.744614.
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Greipel, J., D. Ortiz Sarceño, and R. Prof Schmitt. "Adaptive Prüfplanung für Kleinserien*/Adaptive inspection planning for small series." wt Werkstattstechnik online 107, no. 11-12 (2017): 780–85. http://dx.doi.org/10.37544/1436-4980-2017-11-12-4.
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In der Kleinserienproduktion ist eine 100 %-Prüfung üblich. Eine kostengünstigere Stichprobenprüfung ist nicht anwendbar, da produzierte Lose nicht die nötige Datenanzahl aufweisen. Um sie zu erhöhen und die Stichprobenprüfung anwendbar zu machen, können ähnliche Produktmerkmale mit einem Gruppierungsalgorithmus zusammengefasst werden. Darauf aufbauend wird eine Methodik zur Erstellung eines adaptiven Prüfplans für Kleinserien vorgestellt, angewendet und der weitere Forschungsbedarf dargestellt. In small series production, 100 % inspection is common practice. A more cost-effective sampling inspection is not applicable as batches produced do not provide the necessary amount of data. To increase the amount of data and allow for sampling inspection, similar product features can be grouped by a grouping algorithm. Thus, a methodology is presented for designing an adaptive sampling plan for small batch production while further research requirements are discussed.
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Tamar Begdarashvili, Tamar Begdarashvili. "Methodology for Developing an Adaptive Business Plan." Economics 105, no. 4-5 (May 8, 2022): 253–59. http://dx.doi.org/10.36962/ecs105/4-5/2022-253.
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Any firm has to adapt to a changing business environment to operate successfully. In the 21st century, they have to work actively on adaptive business plans and have some long-term plans, as the degree of uncertainty in the business environment increases steadily while the adaptive competencies help the firm to develop a competitive advantage over the environment. We can talk a lot to describe the business landscape of the last decade, however the only thing that can be said with certainty is that during this period there have never been certain, obvious radical changes. As business cycles and processes in the world become more rapidly accelerated, we can more strongly criticize the traditional strategic planning process, which offers small alternatives of business scenarios and focuses less on radical changes in market demand. Against this background, we want to focus on the importance of developing an adaptive business plan and discuss its development methodology for firms. Keywords: Adaptation, Business Plan, Adaptive Management, Adaptive Measures Complex, Competitive Advantage.
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Hudec, Oto. "Cities of Resilience: Integrated Adaptive Planning." Quality Innovation Prosperity 21, no. 1 (April 30, 2017): 106. http://dx.doi.org/10.12776/qip.v21i1.776.
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<p><strong>Purpose:</strong> to classify the definitions and approaches towards the concept of the city of resilience, to understand the reciprocal influences of academic research, resilience assessments and planning results as well as to identify the inconsistencies and formulate future research directions.</p><p><strong>Methodology/Approach:</strong> explanatory analysis, literature-based work comparing definitions, principles, dimensions. Rationalised analytic reasoning and approaches which lead to formulating crucial research questions.</p><p><strong>Findings:</strong> the definitions of city resilience are classified according to objects and fields. The differentiations in the sustainability and resilience concepts are indicated and an adaptive planning framework is described.</p><p><strong>Research Limitation/implication:</strong> the main challenges are filling in the gap between the theory and practice of city resilience literature, dealing with the complexity, the implementation of complexity theory considering self-organisation.</p><p><strong>Originality/Value of paper:</strong> the analysis contributes to the clarification of the main concept, classification of the main approaches and the formulation of open research questions and future trends.</p>
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Kataev, M. Yu, A. A. Sukhorukov, and L. A. Bulysheva. "Network planning methodology in the problem of adaptive learning of university students." Informatics and education, no. 8 (November 23, 2020): 45–56. http://dx.doi.org/10.32517/0234-0453-2020-35-8-45-56.
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The article proposes a methodology of network planning in the problem of adaptive learning of university students. The elements of network planning are briefly presented, the use of adaptive learning methods in the educational process is described. The learning process in the university is considered, and the possibilities of describing it using the formalism of network planning within some discipline are analyzed. The developed technique for assessing the performance of tasks is given. The process of interaction between a teacher and a student in the learning process is described in terms of assessing the sequence of this interaction and the parameters of the proposed algorithm. The developed model of the discipline in the form of a linear sequence of actions for the study of the discipline is presented. To reflect the efforts made to obtain a learning outcome, a graphical representation of the discipline's network model is given. The results of the use of network graphics in the educational process within one discipline are presented. The formulas used to assess the student when using this technique are described. Several variants of passing the academic discipline by a student are considered, analytical data obtained by comparing these variants are presented. A computer program designed to support the developed technique is presented. The results of using the proposed methodology for assessing the study of a discipline by a university student are analyzed. The study of the methodology presented in the article can be useful for both university teachers and students.
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Suh, Daniel, and Megan S. Ryerson. "Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning." Transportation Research Record: Journal of the Transportation Research Board 2603, no. 1 (January 2017): 65–77. http://dx.doi.org/10.3141/2603-07.
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Airport planners, in determining the long-term development of an airport's infrastructure, estimate future use of the airport by using two loose categories of methods: ( a) peer group learning and ( b) forecasting. In peer group learning, airport planners compare their airports with like airports and engage in peer-to-peer exchange of information about lessons learned from past experiences and technical and planning guidance. The blend of quantitative and qualitative methodologies can be a powerful tool for airport planners because the planners can validate their forecasts with the actual experiences at similar airports. In the current state of the aviation industry, airport planners must engage in peer group learning because the environment in which they are planning their airports is more volatile than it was previously; however, while forecasting has been well studied by scholars and airport planners, peer group learning has attracted relatively less attention. Given the role of peer group learning in airport planning, airport planners must pay careful attention to how they define their peers in ever-evolving economic and industrial environments. Since deregulation of the airline industry in the 1970s, the airport system has become much more nuanced and is no longer easily defined, while airport planners often resort to single metrics such as enplanements as a peer criterion. This study developed and tested a peer identification methodology that reflects volatilities in the economy and the airport industry by using an expanded list of both static and dynamic metrics. This methodology highlights an important lesson that metrics matter in the ways in which airports identify their peers, benchmark their performance, and help to improve their plans.
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Emelianova, Daria, Natalia Kliuchareva, Sergey Kolesnichenko-Yanushev, and Andrey Yakovlev. "Organization of standardization work planning in an industrial enterprise." E3S Web of Conferences 164 (2020): 10013. http://dx.doi.org/10.1051/e3sconf/202016410013.
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The paper considers the methodology for organizing information support planning at the main stages of a product life cycle. If used, the methodology will help minimize risks of counteragents’ non-compliance with contractual obligations. The research study is aimed at substantiating the ways, techniques, and methods of building an effective information support management system of an enterprise through creating an adaptive system for standardization work planning. When preparing the materials suggested in the paper, such scientific research methods were used as: analyzing the information needs of an enterprise, simulating a short-term information support planning process, pooling the experience in organizing standardization work in industrial enterprises involved in sin-gle-piece and serial production, as well as the principles of consistency and comprehensiveness of information support planning. As a result of the conducted research study, the following ones are proposed: a methodology for forming a Standardization Action Plan in an enterprise (organization); ways and methods for adapting the Standardization Action Plan to changing production conditions; ways to monitor the realization of actions envisaged in the Plan; the rules for evaluating the effectiveness of the information support system of an enterprise. The general methodology of information support relies on a principle of building quality management systems that implement the Deming Cycle.
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Sulistiawan, Andi, and Melkior Nikolar Ngalumsine Sitokdana. "Information System Strategic Planning in PT XYZ Using Wetherbe's Methodology." TEPIAN 1, no. 3 (August 18, 2020): 103–10. http://dx.doi.org/10.51967/tepian.v1i3.168.
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Along with the development of technology in business, PT XYZ, which is engaged in the food industry, which is located in Sidomukti, Salatiga City is required to be adaptive and innovative by utilizing the availability of information technology. In order to win the competition, and information system strategic plan is needed to support the implementation of information technology and information systems in terms of operations as well as for strategic ones. Therefore, this research conducted by making strategic planning of information systems for use at PT XYZ using the Wetherbe methodology. This methodology is considered as an appropriate approach tool for the company. The solution for information system requirements is based on the strategic planning analysis that has been carried out, namely, producing nine information systems consisting of one information system to be developed from existing applications and eight information systems for the proposed application. And IT personnel are needed for the database and network server work or to carry out proper training for each employee so that if there is damage to the system and infrastructure it can be directly handled. This was done due to the condition of the number of human resources and limited funds for the strategic planning of information systems.
Dissertations / Theses on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Mantegh, Iraj. "A stochastic and adaptive motion planning methodology for autonomous mobile robots." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0020/NQ45820.pdf.
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MONTELLA, ILARIA. "Emergenza abitativa e requisiti minimi per l’accoglienza: contributo alla strategia di resilienza." Doctoral thesis, 2017. http://hdl.handle.net/2158/1079391.
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La crescente pressione demografica e l’inurbamento massivo nelle metropoli, determinano un disagio abitativo costante che impatta sui contesti urbani ambìti da un grande segmento di popolazione che, per varie ragioni, e a causa di condizioni economiche precarie, non ha accesso al mercato immobiliare, neanche in affitto, ed è alla ricerca di condizioni migliori e di una casa.
Il riferimento è ai migranti, a chi è in condizioni di disagio economico improvviso, a coloro che, già in lista d’attesa per la casa popolare, o non ancora iscritti in essa, non hanno accesso ad un alloggio.
In assenza di risposte rapide della programmazione urbanistica tradizionale, l’emergenza abitativa pone la popolazione in condizioni precarie e si traduce in risposte autogestite e informali che diventano, a loro volta, emergenza.
Si richiede al sistema città, e a tutti i suoi sottosistemi, di essere resiliente alle condizioni mutevoli, di fronteggiare lo stress dell’emergenza improvvisa e cronica pur preservando la stabilità, attraverso la pianificazione preventiva di risposte abitative, rapide e a basso costo, che esulino da soluzioni emergenziali e dall’abuso di suolo.
Considerando la resilienza come sommatoria di processi coordinati che abbiano la ricaduta di aumentare l’adattamento della città e dei suoi abitanti, la ricerca indaga su che apporto possa dare l’architettura al framework di resilienza e se esistano caratteri connotanti - tecnologici, tipologici, funzionali, procedurali - per modelli abitativi minimi ed essenziali che, se applicati in via preventiva fin dalla fase progettuale, possano contribuire, seppur in modo indiretto, alla resilienza complessiva del sistema urbano coadiuvandone risposte rapide, adattive, dal basso costo di costruzione, gestione, manutenzione, dal basso dispendio energetico e di risorse.
Pensare alla resilienza come caratteristica presente in nuce in molti ambiti, ma codificata in pochi, ha indotto a strutturare una metodologia complessa che, attraverso selezione e analisi di Casi di Studio (scelti tra progetti di cooperazione Stato-abitanti per la prevenzione di insediamenti informali), e attraverso l’analisi di aspetti tipologici degli insediamenti informali (ex-novo oppure di occupazione informale di edifici esistenti, intesi come fonte di informazioni esigenziali perché risposte pratiche dell’utente ad un’esigenza), ha portato alla deduzione di best-practices, generalizzabili e replicabili, e alla definizione di un profilo esigenziale specifico dell’utente. Ad esso, assumendo come riferimento il meta-progetto, è seguita la deduzione di requisiti connotanti e la redazione di un “Framework di indicazioni tecniche di una risposta abitativa essenziale, di nuova costruzione e di natura temporanea”, strutturato in “Schede Tecniche per la Progettazione”, contenente indicazioni progettuali e procedurali, e volto ad essere di ausilio a tutti gli attori coinvolti nei processi progettuali, perché abbiano essi esiti resilienti.
ENGLISH Strong population pressure and massive urbanization in megacities cause constant housing problems, which have an impact on the urban contexts desired by a large segment of the population which, due to various reasons and because of precarious economic conditions, does not have access to the property market, not even the rental one, and is therefore seeking better conditions and a home.
The reference is to those who do not have access to housing, including migrants, those who find themselves in sudden financial hardship and those who are already on the waiting list for public housing or not yet enrolled on it.
Without the quick response of traditional urban planning, the housing crisis puts the population in precarious conditions, which result in self-managed and informal responses that, in turn, become an emergency.
The city system, as well as all its subsystems, must be resilient to the changing conditions. It must face the constant stress of the sudden and chronic emergency, while preserving stability, through advance planning of housing responses that are fast and low cost and go beyond emergency solutions.
Considering resilience as the sum of coordinated processes which have the consequence of increasing the adaptation of the city and its inhabitants, the study investigates what contribution architecture might make to the framework of resilience and if there are distinguishing characteristics — technological, typological, functional, procedural — for minimum and essential housing models, which, if applied on a preventive basis at the design stage, could contribute, albeit indirectly, to the overall resilience of the urban system, cooperating for quick, adaptive responses at a low cost for construction, management, maintenance and low consumption of energy and resources.
Thinking of resilience as a feature present in many areas, but encoded in few, has led to structuring a complex methodology which, through the analysis of Case Studies (chosen from state-inhabitant cooperation projects for the informal settlements prevention) and through the analysis of the informal settlements typological aspects (such as the user’s practical responses to a need), has led to the definition of a user-specific needs profile. This, assuming as reference the metadesign, is followed by the specific requirements definition and the drafting of a “Framework of technical indications for essential, new and temporary housing construction”, structured into “Technical Sheets for the Design”, and aimed at being of help to all those involved in resilient design processes."
Books on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Mantegh, Iraj. A stochastic and adaptive motion planning methodology for autonomous mobile robots. 1999.
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Situational Urbanism : Directing Post-War Urbanity: An Adaptive Methodology for Urban Transformation. Jovis Verlag GmbH, 2014.
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Making Use of Deleuze in Planning: Methodology for Speculative and Immanent Assessment. Taylor & Francis Group, 2016.
Find full textBook chapters on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Sisto, Raffaele, Javier García López, Julio Lumbreras Martín, Carlos Mataix Aldeanueva, and Linos Ramos Ferreiro. "City Assessment Tool to Measure the Impact of Public Policies on Smart and Sustainable Cities. The Case Study of the Municipality of Alcobendas (Spain) Compared with Similar European Cities." In Smart and Sustainable Planning for Cities and Regions, 81–101. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57764-3_6.
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AbstractData analytics is a key resource to analyze cities and to find their strengths and weaknesses to define long-term sustainable strategies. On the one hand, urban planning is geared to adapting cities’ strategies towards a qualitative, intelligent, and sustainable growth. On the other hand, institutions are geared towards open governance and collaborative administration models. In this context, sustainability has become a global concern for urban development, and the sustainable development goals (SDGs), defined by United Nations, are the framework to be followed to define the new city goals and to measure the advances of the policies implemented over recent years. The main objective of this research is to explain the methods and results of the application of a city assessment tool for measuring the impact of public policies on the socioeconomic and environmental structure of a city. It addresses the case study of the evaluation of the strategic plan “Diseña 2020” of the municipality of Alcobendas (Madrid, Spain, with 116.037 inhabitants), the document used to communicate the actions needed to achieve the city goals during the planning exercise. A selection of urban indicators has been aligned with the SDGs defined in the Agenda 2030 to develop a tool for the measurement of the impacts of policies in economic, social, and ecological terms. Through this set of indicators, the tool is able to quantify the impact of the policies on the city and the SDGs and to support the decision-making processes of the administration. The set of urban indicators is divided into five areas: economic development and employment, sustainable development, open government, social responsibility, and quality of life. The data evolution, across the recent years 2012–2018, is used to monitor and benchmark the effects of the applied policies. In addition, Alcobendas can be compared with other Spanish and European cities with similar characteristics; it makes possible assessing the achievement of the city’s strategic areas, incorporating the current trends and fostering the SDGs. Thanks to the quantitative comparable results and the objective approach, this research shows a methodology based on indicators that could be applied and scaled to other cities to generate a common framework for measuring the impact of public policies on cities.
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S., Koushik, and Annapurna P. Patil. "Adaptive Content Planning and Delivery With Assessment Methodology Using Swarm Intelligence on Cloud Computing." In Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education, 217–40. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6963-4.ch011.
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University education has been using traditional approaches to impart knowledge. Advancements in technology create a need to change the teaching-learning process's direction to keep up with the current technology pace. Students and teachers should update their skill sets to suit the current needs of technology. Content and syllabus delivery should be planned and delivered to create a more adaptive, self-paced, and personalized learning experience. Evaluation of tests and assignments requires an intelligent system that uses technologies like swarm intelligence and artificial intelligence. Research carried out in this field helps mold the curriculum as per the student's requirements. Swarm intelligence, combined with cloud computing, enables adaptive content planning and delivery. Swarm intelligence techniques and algorithms help design personalized content and delivery. In contrast, cloud infrastructure provides the required computing capability and storage to perform academic tasks on a standard application platform for students and teachers with a cost-effective solution.
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Thakker, Dhavalkumar, Taha Osman, and David Al-Dabass. "Semantic Web Services Composition with Case Based Reasoning." In Intelligent, Adaptive and Reasoning Technologies, 36–63. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-595-7.ch003.
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Web service development is encouraging scenarios where individual or integrated application services can be seamlessly and securely published on the Web without the need to expose their implementation details. However, as Web services proliferate, it becomes difficult to matchmake and integrate them in response to users requests. The goal of our research is to investigate the utilization of the Semantic Web in building a developer-transparent framework facilitating the automatic discovery and composition of Web services. In this chapter, we present a Semantic Case Based Reasoner (SCBR) framework that utilizes the case based reasoning methodology for modelling dynamic Web service discovery and composition. Our approach is original as it considers the runtime behaviour of a service resulting from its execution. Moreover, we demonstrate that the accuracy of automatic matchmaking of Web services can be further improved by taking into account the adequacy of past matchmaking experiences for the requested task. To facilitate Web services composition, we extend our fundamental discovery and matchmaking algorithm using a light-weight knowledge-based substitution approach to adapt the candidate service experiences to the requested solution before suggesting more complex and computationally taxing AI-based planning-based transformations. The inconsistency problem that occurs while adapting existing service composition solutions is addressed with a novel methodology based on the Constraint Satisfaction Problem (CSP).
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Pinero De Plaza, Maria A., Tiffany Conroy, Alexandra Mudd, and Alison Kitson. "Using a Complex Network Methodology to Track, Evaluate, and Transform Fundamental Care." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210656.
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In this study, we drew on methods originating in complex adaptive systems and social network analysis to develop a novel way to quantify fundamental care. Data were obtained from a public statement from the Australian Royal Commission into Aged Care Quality and Safety. Results support the importance of using a systemic approach to assess the multiple dimensions of the fundamentals of care. Our method allows measurement of the problem within its system, providing a detailed quantification of care events and identifying excellence and improvement opportunities. We illustrate the strengths of this approach using principal component analysis and heat mapping. The application of the proposed methodology in healthcare decision-making, planning, and quality improvement is discussed.
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Ponis, Stavros T., Angelos Delis, Sotiris P. Gayialis, Panagiotis Kasimatis, and Joseph Tan. "Applying Discrete Event Simulation (DES) in Healthcare." In Healthcare Administration, 390–410. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6339-8.ch020.
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This paper highlights the opportunities and challenges of applying Discrete Event Simulation (DES) to support capacity planning of a network of outpatient facilities. Despite an abundance of studies using simulation techniques to examine the operation and performance of outpatient clinics, the problem of capacity allocation and planning of medical services within a network of outpatient healthcare facilities appears to be underexplored. Here, a case study of a health insurance provider that operates a network of six outpatient medical facilities in the US is used to illustrate and explore the synthesizing and adaptive, yet parsimonious nature of using DES methodology for network design and capacity planning. Results of this case study demonstrate that significant performance improvements for the network operator can be achieved with applying DES method to support the network facility capacity planning process.
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Yasuda, Gen'ichi. "A Bio-Inspired, Distributed Control Approach to the Design of Autonomous Cooperative Behaviors in Multiple Mobile Robot Systems." In Encyclopedia of Information Science and Technology, Fourth Edition, 6836–46. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch592.
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This chapter deals with the design and implementation of bio-inspired control architectures for intelligent multiple mobile robot systems. Focusing on building control systems, this chapter presents a non-centralized, behavior-based methodology for autonomous cooperative control, inspired by the adaptive and self-organizing capabilities of biological systems, which can generate robust and complex behaviors through limited local interactions. With autonomous behavior modules for discrete event distributed control, a modular, Petri net based behavioral control software has been implemented in accordance with a hierarchical distributed hardware structure. The behavior modules with respective pre-conditions and post-conditions can be dynamically connected in response to status events from action control modules at the lower level to achieve the specified overall task. The approach involving planning, control and reactivity can integrate high-level command input with the behavior modules through the distributed autonomous control architecture.
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Yasuda, Gen'ichi. "A Bio-Inspired, Distributed Control Approach to the Design of Autonomous Cooperative Behaviors in Multiple Mobile Robot Systems." In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 1058–70. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7368-5.ch077.
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This chapter deals with the design and implementation of bio-inspired control architectures for intelligent multiple mobile robot systems. Focusing on building control systems, this chapter presents a non-centralized, behavior-based methodology for autonomous cooperative control, inspired by the adaptive and self-organizing capabilities of biological systems, which can generate robust and complex behaviors through limited local interactions. With autonomous behavior modules for discrete event distributed control, a modular, Petri net-based behavioral control software has been implemented in accordance with a hierarchical distributed hardware structure. The behavior modules with respective pre-conditions and post-conditions can be dynamically connected in response to status events from action control modules at the lower level to achieve the specified overall task. The approach involving planning, control, and reactivity can integrate high-level command input with the behavior modules through the distributed autonomous control architecture.
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Gurney III, Robert H., Anas Alomaim, and Jawaher Al-Bader. "Kuwait Urban App." In Advances in Electronic Government, Digital Divide, and Regional Development, 186–203. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3734-2.ch010.
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Through an investigation of social media and contemporary smart phone applications, the urban landscape of Kuwait is analyzed to propose a method for knowledge-based urban development (KBUD). Historically speaking, urban planning and design have been dominated by a formalized methodology that seeks to reinforce existing power structures. The promise of KBUD is a more balanced approach towards development, considering economic, social, environmental, and cultural factors. The chapter suggests an up-to-date method of research that consists of three overlapping stages, starting with collecting big data through cellphone software applications, followed by a set of interviews with several entities and ending with a method of behavioral mapping and space syntax. This cross-referenced research process encapsulates the multifaceted approach of KBUD that would produce a complex adaptive system and an underlying framework to help understand the non-linear interactions between the local populations in Kuwait.
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Martínez-Sarmiento, Daniela Alejandra, María Emily Triana-Jiménez, María Lucía Blanco-Parga, Juliana Martínez-Cárdenas, Valeria Valentina Palencia-Amaya, Luz Adriana Penagos-Fajardo, Jhon Erick Chacón-Ruiz, et al. "Pertinencia y conveniencia de dos videojuegos para estimular las funciones ejecutivas en adultos con deterioro cognitivo leve." In Semilleros: contribuciones investigativas desde la psicología a realidades sociales en Colombia, 41–56. Editorial Universidad Católica de Colombia, 2021. http://dx.doi.org/10.14718/9789585133884.2021.2.
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Computerized cognitive training is a methodology that is applied in neuropsychological rehabilitation processes; in recent years there has been a growing interest in adapting it to the needs of older adults diagnosed with mild cognitive impairment. The purpose of this chapter is to describe the content validation process of two games that are part of this module, one aimed at cognitive planning and the other at working memory. In the validation process, the Delphi method was adapted, with the participation of five expert judges in the topics of cognition, neuropsychology and clinical psychology. In relation to the results, the concordance index was 0.80, which was obtained through the rWG coefficient. In general, terms the games were consistent with the theoretical and methodological foundation selected, which allows them to be enabled as instruments to stimulate cognitive planning and working memory in older adults.
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Bollard, Alan. "The Peacenik who Helped Bombing Tactics." In Economists at War, 165–98. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198846000.003.0006.
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The Allies were worried whether the economy of the Soviet Union could survive the war, and in Washington the OSS (Office of Strategic Services) directed a young Russian émigré economist to study the problem: Wassily Leontief’s reports predicted the Soviet economy was stronger than thought, and ultimately he was proved right. Leontief’s big contribution was to invent the input-output methodology, and this was used in economic planning for the US economy. In the war the Americans went further, adapting this technique to map the Axis economy, and identify weak points for targeting their bombing raids in Europe. Ultimately this helped destroy the German economy.
Conference papers on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Wang, Lihui, Weiming Shen, Xiaoqian Li, and Sherman Lang. "A Sensor-Driven Approach to Distributed Shop Floor Planning and Control." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42802.
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The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.
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Wang, Lihui, Zhenkai Liu, Weiming Shen, and Sherman Lang. "Function-Block Enabled Job Shop Planning and Control With Uncertainty." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59279.
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The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
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Farahat, Abdallah Magdy, and Domenico Defina. "Novel Adaptive Approach for Applying and Combining Traditional Waterfall and Agile Project Management Methodologies." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210867-ms.
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Abstract In modern oil and gas projects, especially in brown field contexts, there are always challenges of working with uncertainties and un-definitions in particular at the late stage of project development. On the other hand, engineering firms need to adapt and implement these changes, in every phase of the development cycle, with high accuracy to reduce delay time and meet client expectations. Hybrid Agile methods ensure that change can be adopted during the development process since they are based on an empirical control model that works through frequent increments, inspections and adaptations. During a brownfield NGL project, EniProgetti Egypt was responsible for detailed design engineering activities to replace traditional cold box heat exchanger with Printed Circuit Heat Exchanger (PCHE). The early phase of the project was characterized by collaborations with involved stakeholders from operations and projects departments in order to define the requirements. Due to the fact that the project was executed in detail engineering following feasibility study neglecting the intermediate front-end engineering design (FEED) phase, there were several criticalities, project un-definitions, risks and uncertainties. This continuous change and uncertainties were a trigger to enable the hybrid agile project management approach, which combines waterfall model and agile. This approach was followed to allow the execution of the engineering design respecting quality standards, meeting deadlines and optimizing the project budget. The paper presents efficient ways to implement and tailor the agile approach in oil and gas projects and how it can be combined with the structured waterfall methodology. The Scrum framework was activated in the early stage of the project development to create the product backlog and categorize requirements and feature stories. Planning was done via Gantt-Agile to outline the devoted deliverable through multiple sprints and monitor performance with S-curve dashboards and burn down charts. The Scrumban with sprint cycles has been applied to each sprint, ending with a review and retrospective meeting to identify lessons learned and improve the remaining sprints. The findings presented in this paper are a novel adaptation of the Agile framework and the predictive methodology for oil and gas projects that determine the important tailor-made process that directly impacts the project success, which in turn helps formulate policies to ensure reliable planning and execution.
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Gong, Shangdong, Redwan Alqasemi, and Rajiv Dubey. "Gradient Optimization of Inverse Dynamics for Robotic Manipulator Motion Planning Using Combined Optimal Control." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72064.
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Motion planning of redundant manipulators is an active and widely studied area of research. The inverse kinematics problem can be solved using various optimization methods within the null space to avoid joint limits, obstacle constraints, as well as minimize the velocity or maximize the manipulability measure. However, the relation between the torques of the joints and their respective positions can complicate inverse dynamics of redundant systems. It also makes it challenging to optimize cost functions, such as total torque or kinematic energy. In addition, the functional gradient optimization techniques do not achieve an optimal solution for the goal configuration. We present a study on motion planning using optimal control as a pre-process to find optimal pose at the goal position based on the external forces and gravity compensation, and generate a trajectory with optimized torques using the gradient information of the torque function. As a result, we reach an optimal trajectory that can minimize the torque and takes dynamics into consideration. We demonstrate the motion planning for a planar 3-DOF redundant robotic arm and show the results of the optimized trajectory motion. In the simulation, the torque generated by an external force on the end-effector as well as by the motion of every link is made into an integral over the squared torque norm. This technique is expected to take the torque of every joint into consideration and generate better motion that maintains the torques or kinematic energy of the arm in the safe zone. In future work, the trajectories of the redundant manipulators will be optimized to generate more natural motion as in humanoid arm motion. Similar to the human motion strategy, the robot arm is expected to be able to lift weights held by hands, the configuration of the arm is changed along from the initial configuration to a goal configuration. Furthermore, along with weighted least norm (WLN) solutions, the optimization framework will be more adaptive to the dynamic environment. In this paper, we present the development of our methodology, a simulated test and discussion of the results.
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Chowdhury, Souma, Achille Messac, and Ritesh Khire. "Comprehensive Product Platform Planning (CP3) Using Mixed-Discrete Particle Swarm Optimization and a New Commonality Index." 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/detc2012-70954.
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A product family with a common platform paradigm can increase the flexibility and responsiveness of the product-manufacturing process and help take away market share from competitors that develop one product at a time. The recently developed Comprehensive Product Platform Planning (CP3) method allows (i) the formation of sub-families of products, and (ii) the simultaneous identification and quantification of platform/scaling design variables. The CP3 model is founded on a generalized commonality matrix representation of the product-platform-plan. In this paper, a new commonality index is developed and introduced in CP3 to simultaneously account for the degree of inter-product commonalities and for the overlap between groups of products sharing different platform variables. To maximize both the performance of the product family and the new commonality measure, we develop and apply an advanced mixed-discrete Particle Swarm Optimization (MDPSO) algorithm. In the MDPSO algorithm, the discrete variables are updated using a deterministic nearest-feasible-vertex criterion after each iteration of the conventional PSO. Such an approach is expected to avoid the undesirable discrepancy in the rate of evolution of discrete and continuous variables. To prevent a premature stagnation of solutions (likely in conventional PSO), while solving the high dimensional MINLP problem presented by CP3, we introduce a new adaptive diversity-preservation technique. This technique first characterizes the population diversity and then applies a stochastic update of the discrete variables based on the estimated diversity measure. The potential of the new CP3 optimization methodology is illustrated through its application to design a family of universal electric motors. The optimized platform plans provide helpful insights into the importance of accounting for the overlap between different product platforms, when quantifying the effective commonality in the product family.
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Wu, Y. T., A. P. Ku, and C. M. Serratella. "A Robust and Efficient Computational Method for Fatigue Reliability Update Using Inspected Data." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-80034.
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This paper presents a new methodology for reliability-based inspection planning focusing on robust and accurate computational strategies for fatigue-reliability updating using inspection results. The core of the proposed strategy is a conditioned sampling-based method, implemented by a Fast Probability Analyzer (FPA) software where efficiency is achieved by using the importance sampling principal. For a single component or limit state, FPA first generates Markov-Chain Monte Carlo (MCMC) samples in the failure domain, then applies an adaptive stratified importance sampling (ASIS) method to compute probability of failure (PoF) with error control. Once the MCMC samples have been created, solving a reliability updating problem is fairly straightforward and computationally robust relative to the conventional system reliability methods that rely on linearization of the limit states. The new approach is demonstrated using examples including stiffened panels of a ship-shaped vessel where reliability is updated using inspection results from 100 panel connections.
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Sousa, João, Roya Darabi, Ana Reis, Marco Parente, Luís Paulo Reis, and Jose Cesar de Sa. "An Adaptive Thermal Finite Element Simulation of Direct Energy Deposition With Reinforcement Learning: A Conceptual Framework." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95055.
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Abstract During the last decades, metal additive manufacturing (AM) technology has transitioned from rapid prototyping application to industrial adoption owing to its flexibility in product design, tooling, and process planning. Thus, understanding the behavior, interaction, and influence of the involved processing parameters on the overall AM production system in order to obtain high-quality parts and stabilized manufacturing process is crucial. Despite many advantages of the AM technologies, difficulties arise due to modelling the complex nature of the process-structure-property relations, which prevents its wide utilization in various industrial sectors. It is known that many of the most important defects in direct energy deposition (DED) are associated with the volume and timescales of the evolving melt pool. Thus, the development of methodologies for monitoring, and controlling the melt pool is critical. In this study, an adaptive numerical transient solution is developed, which is fed from the set of experiments for single-track scanning of super-alloy Inconel 625 on the hot-tempered steel type 42CrMo4. An established exponential formula based on the response surface methodology (RSM) that quantifies the influence of process parameters and geometries of deposited layers from experiments are considered to activate the volume fraction of passive elements in the finite element discretization. By resorting to the FORTRAN language framework capabilities, commercial finite element method software ABAQUS has been steered in order to control unfavorable defects induced by localized rapid heating and cooling, and unstable volume of the melt pool. A thermodynamic consistent phase-field model is coupled with a transient thermal simulation to track the material history. A Lagrangian description for the spatial and time discretization is used. The goal is to present a closed-loop approach to track the melt pool morphology and temperature to a reference deposition volume profile which is established based on deep reinforcement learning (RL) architecture aiming to avoid instabilities, defects and anomalies by controlling the laser power density adaptability. Despite the small number of iterations during RL model training, the agent was able to learn the desired behaviour and two different reward functions were evaluated. This approach allows us to show the possibility of using RL with openAI Gym for process control and its interconnection with ABAQUS framework to train a model first in a simulation environment, and thus take advantage of RL capabilities without creating waste or machine time in real-world.
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Yao, Xiling, Seung Ki Moon, and Guijun Bi. "The Additive Manufacturing Process Setting Feasible Space Exploration and Association With Variable Product Platform Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46665.
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Additive manufacturing (AM) has evolved from prototyping to functional part fabrication for a wide range of applications. AM process settings have significant impact to both part quality and production cost, which makes the process setting adjustment a key consideration during product development and manufacturing. This research aims to investigate the relationship among process setting adjustments, costs, and component design parameters. Platform-based product family design and process family planning are used in this research as the strategy to provide product diversity while controlling cost. In this paper, the concept of a variable product platform and its corresponding AM process setting variants are proposed to describe the characteristics of additive manufactured platform modules. AM production cost drivers are identified. A Fuzzy Time-Driven Activity-Based Costing (FTDABC) approach is proposed to estimate the cost increment due to process setting adjustments. Time equations in the FTDABC are computed in a trained Adaptive Neuro-Fuzzy Inference System (ANFIS). The process setting adjustment’s feasible space boundary searching is formulated as an optimization problem, with minimizing the cost increment and maximizing the design parameters’ variability as objective functions. The upper and lower limits of variable platform module’s design parameters are mapped from process setting adjustments in a Mamdani-type expert system. The proposed methodology is illustrated in the analysis of a honeycomb-shaped bumper, which is taken as a variable platform module for a family of R/C racing cars. The result provides boundaries for design parameters, which confines the AM-enabled design space for product platform modules.
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Dema-Pérez, Carlos, Sofía Estellés Miguel, and Carlos Fernández-Llatas. "Collaborative learning and pandemic situation with online teaching. The experience in Management Skills for Engineers." In INNODOCT 2021. Valencia: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/inn2021.2021.13936.
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In the subject of Management Skills for Engineers in the last 2020/21 academic year, it was necessary to modify radically the full teaching scheme. Given that the number of students was small and that they already knew the conceptual management basis, this subject had traditionally been developed through reverse teaching and carrying out cases and group works in a collaborative learning context. COVID and the need of structuring teaching and tutorials based on TEAMS, which the UPV has standardized, raised an important turning point and decision: moving to a traditional teaching methodology or keeping the one used until now adapting it to take advantage of the potential of TEAMS and the rest of the UPV's applications. In this communication the theoretical foundations, the planning of the subject and the most significant results are summarized.
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Stiassnie, Eli, Gila Molcho, and Moshe Shpitalni. "Holistic Design of Sustainable Systems With Improved Lifecycle Performance." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59207.
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The rampant changes marking modern manufacturing are driven by: (a) excess manufacturing capacity and the consequent increase in competition, and (b) rising environmental awareness and legislation. This green legislation (WEEE, EuP, RoHS, etc.) has arisen in an attempt to resolve the inherent conflict between a number of competing needs: (1) environmental requirements and constraints, (2) consumer demands and (3) industrial profitability constraints. Consequently, modern industries seeking to maintain corporate profits while complying with new legislation have begun to shift from product delivery to through-life service support. That is, companies supply products and continue to maintain them throughout the product’s lifetime. Industrial profitability in such a paradigm requires technological adaption and innovation as well as enhanced product performance control. All these changes and requirements are dictating change in design approaches and practices. This paper presents a new design methodology and supporting tools to analyze and improve product design, while taking into account environmental impact and the selling-of-services business paradigm. The analysis is based on dynamic product models aimed at extending life span while reducing complexities and internal interdependencies by means of component periodicity planning and uncoupling activities.
Reports on the topic "PLANNING ADAPTIVE METHODOLOGY"
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Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.
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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.