Literatura científica selecionada sobre o tema "Multi-criteria Design"
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Artigos de revistas sobre o assunto "Multi-criteria Design"
Radeva, Irina. "Multi-Criteria Models for Clusters Design". Cybernetics and Information Technologies 13, n.º 1 (1 de março de 2013): 18–33. http://dx.doi.org/10.2478/cait-2013-0003.
Texto completo da fonteMohamed, Nejlaoui, Najlawi Bilel e Ali Sulaiman Alsagri. "A multi-objective methodology for multi-criteria engineering design". Applied Soft Computing 91 (junho de 2020): 106204. http://dx.doi.org/10.1016/j.asoc.2020.106204.
Texto completo da fonteZargaryan, Yu A., E. V. Zargaryan, I. A. Dmitrieva, O. N. Sakharova e I. V. Pushnina. "Modeling design information systems with multi-criteria". Journal of Physics: Conference Series 1679 (novembro de 2020): 032057. http://dx.doi.org/10.1088/1742-6596/1679/3/032057.
Texto completo da fonteSerafini, Marco, Davide Russo e Caterina Rizzi. "Multi Criteria Material Selection for Eco-design". Computer-Aided Design and Applications 12, n.º 5 (9 de março de 2015): 526–36. http://dx.doi.org/10.1080/16864360.2015.1014730.
Texto completo da fonteSirisalee, P., M. F. Ashby, G. T. Parks e P. J. Clarkson. "Multi-Criteria Material Selection in Engineering Design". Advanced Engineering Materials 6, n.º 12 (5 de fevereiro de 2004): 84–92. http://dx.doi.org/10.1002/adem.200300554.
Texto completo da fonteBeck, James L., Eduardo Chan, Ayhan Irfanoglu e Costas Papadimitriou. "Multi-criteria optimal structural design under uncertainty". Earthquake Engineering & Structural Dynamics 28, n.º 7 (julho de 1999): 741–61. http://dx.doi.org/10.1002/(sici)1096-9845(199907)28:7<741::aid-eqe840>3.0.co;2-6.
Texto completo da fonteKuan, Yong, e Yahaya Ahmad. "Architectural Design Criteria for Multi-Storey Housing Buildings". Open House International 41, n.º 1 (1 de março de 2016): 67–73. http://dx.doi.org/10.1108/ohi-01-2016-b0009.
Texto completo da fonteGeldermann, Jutta, Nils Lerche e Juan David Sepulveda. "Combining multi-criteria decision analysis and design thinking". European J. of Industrial Engineering 12, n.º 5 (2018): 708. http://dx.doi.org/10.1504/ejie.2018.094597.
Texto completo da fonteGeldermann, Jutta, Juan David Sepulveda e Nils Lerche. "Combining multi-criteria decision analysis and design thinking". European J. of Industrial Engineering 12, n.º 5 (2018): 708. http://dx.doi.org/10.1504/ejie.2018.10015684.
Texto completo da fontePapakostas, N., G. Pintzos, C. Giannoulis, N. Nikolakis e G. Chryssolouris. "Multi-criteria Assembly Line Design under Demand Uncertainty". Procedia CIRP 25 (2014): 86–92. http://dx.doi.org/10.1016/j.procir.2014.10.015.
Texto completo da fonteTeses / dissertações sobre o assunto "Multi-criteria Design"
Anil, Kivanc Ali. "Multi-criteria analysis in Naval Ship Design /". Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FAnil.pdf.
Texto completo da fonteThesis Advisor(s): Fotis Papoulias, Roman B. Statnikov. Includes bibliographical references (p. 241). Also available online.
Sirisalee, Pasu. "Multi-criteria material selection in engineering design". Thesis, University of Cambridge, 2005. https://www.repository.cam.ac.uk/handle/1810/251967.
Texto completo da fonteTreitz, Martin. "Production process design using multi-criteria analysis". Karlsruhe : Univ.-Verl. Karlsruhe, 2006. http://www.uvka.de/univerlag/volltexte/2006/178/.
Texto completo da fonteAnil, Kivanc A. "Multi-criteria analysis in naval ship design". Thesis, Monterey California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2325.
Texto completo da fonteNumerous optimization problems involve systems with multiple and often contradictory criteria. Such contradictory criteria have been an issue for marine/naval engineering design studies for many years. This problem becomes more important when one considers novel ship types with very limited or no operational record. A number of approaches have been proposed to overcome these multiple criteria design optimization problems. This Thesis follows the Parameter Space Investigation (PSI) technique to address these problems. The PSI method is implemented with a software package called MOVI (Multi-criteria Optimization and Vector Identification). Two marine/naval engineering design optimization models were investigated using the PSI technique along with the MOVI software. The first example was a bulk carrier design model which was previously studied with other optimization methods. This model, which was selected due to its relatively small dimensionality and the availability of existing studies, was utilized in order to demonstrate and validate the features of the proposed approach. A more realistic example was based on the "MIT Functional Ship Design Synthesis Model" with a greater number of parameters, criteria, and functional constraints. A series of optimization studies conducted for this model demonstrated that the proposed approach can be implemented in a naval ship design environment and can lead to a large design parameter space exploration with minimum computational effort.
Lieutenant Junior Grade, Turkish Navy
Kudikala, Rajesh. "System architecture design using multi-criteria optimization". Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/9703/.
Texto completo da fonteHodgett, Richard Edgar. "Multi-criteria decision-making in whole process design". Thesis, University of Newcastle Upon Tyne, 2013. http://hdl.handle.net/10443/1838.
Texto completo da fonteCortes, Quiroz C. A. "Design, analysis and multi-criteria optimization of micromixers". Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1357309/.
Texto completo da fonteBouzembrak, Yamine. "Multi-criteria Supply Chain Network Design under uncertainty". Thesis, Artois, 2011. http://www.theses.fr/2011ARTO0211/document.
Texto completo da fonteThis thesis contributes to the debate on how uncertainty and concepts of sustainable development can be put into modern supply chain network and focuses on issues associated with the design of multi-criteria supply chain network under uncertainty. First, we study the literature review , which is a review of the current state of the art of Supply Chain Network Design approaches and resolution methods. Second, we propose a new methodology for multi-criteria Supply Chain Network Design (SCND) as well as its application to real Supply Chain Network (SCN), in order to satisfy the customers demand and respect the environmental, social, legislative, and economical requirements. The methodology consists of two different steps. In the first step, we use Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) to buildthe model. Then, in the second step, we establish the optimal supply chain network using Mixed Integer Linear Programming model (MILP). Third, we extend the MILP to a multi-objective optimization model that captures a compromisebetween the total cost and the environment influence. We use Goal Programming approach seeking to reach the goals placed by Decision Maker. After that, we develop a novel heuristic solution method based on decomposition technique, to solve large scale supply chain network design problems that we failed to solve using exact methods. The heuristic method is tested on real case instances and numerical comparisons show that our heuristic yield high quality solutions in very limited CPU time. Finally, again, we extend the MILP model presented before where we assume that the costumer demands are uncertain. We use two-stage stochastic programming approach to model the supply chain network under demand uncertainty. Then, we address uncertainty in all SC parameters: opening costs, production costs, storage costs and customers demands. We use possibilistic linear programming approach to model the problem and we validate both approaches in a large application case
Sánchez, Corrales Helem Sabina. "Multi-objective optimization and multicriteria design of PI /PID controllers". Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/393990.
Texto completo da fonteNowadays, the proportional integral and proportional integral derivatives are the most used control algorithm in the industry. Moreover, the fractional controllers have received attention recently for both, the research community and from the industrial point of view. Owing to this, in this thesis some of the scenarios involve the tuning of these controllers by using the Multiobjective Optimization Design procedure. This procedure focuses on providing reasonable trade-off among the conflictive objectives and brings the designer the possibility to appreciate the comparison of the design objectives. This thesis is divided in three parts. The first part, presented the fundamentals of the control system showing and discussing the different trade-offs between performance/robustness and servo/regulation operation modes. On the other hand a background on multi-objective optimization has been provided. The second part, introduces the Nash solution as a multi-criteria decision making technique, to select a point from the Pareto front that represent the best compromise among the design objective. This solution provides a semi-automatic selection from the Pareto front approximation and offers a good trade-off between the goal objectives. Hereafter, a Multi-stage approach for the multi-objective optimization process is presented. This approach involves two algorithms: a deterministic and evolutionary algorithm. In which both algorithms complement each other in despite of their drawbacks and improve the results of the overall optimization in terms of convergence and accuracy. Further, the introduction of reliability based objective into the multi-objective problem is carried out, to measure the performance degradation. It is worthwhile to mention that, due to the existence of uncertainties in real-world designing and manufacturing having this design objective will give another perspective to the designer. In order to validate the approach, two different case studies has been considered, the Boiler control problem for controller tuning and as second case, a non-linear Peltier Cell. Finally, the third part of this thesis, the contributions on controller tuning have been presented. First, a set of tuning rules based on the NS for a proportional-integral (PI) controller have been devised, where the robustness/performance trade-off have been considered. Moreover, as a second case it is presented a tuning for proportional-integral-derivative controller where the trade-off of the performance/robustness and servo/regulation operation mode has been considered. Moreover, the fractional-order-proportional-integral-derivative controller is tuned by using the Multi-stage approach for the MOO process.
Andresen, Inger. "A Multi-Criteria Decision-Making Method for Solar Building Design". Doctoral thesis, Norwegian University of Science and Technology, Faculty of Architecture and Fine Art, 2000. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-451.
Texto completo da fonteThe background for this thesis is based on the assumption that the success of solar buildings relies on the assessment and integration of all the different design objectives, called criteria. These criteria are often quite complicated to deal with (e.g. environmental loading) and may be conflicting. The different design issues and the many different available energy technologies call for different areas of expertise to be involved in the design of solar buildings. This makes it difficult to evaluate the overall “goodness” of a proposed design solution. Also, the communication between design professionals and the client becomes complicated.
The goal of this work was therefore to produce a means for the design team and clients to be able to better understand and handle holistic solar design. A first hypothesis was that a structured approach for evaluating design alternatives might be a means to this end.
In order to specify an approach that would fit into the building design process, an analysis of design process theory and building design practice was carried out (chapter 2). Also, special solar design issues were investigated. This analysis resulted in the following conclusions:
· Most building design processes start out with no clearly defined goals or criteria of success. The design criteria are refined and discovered through evaluation and feedback on alternative design proposals.
· Design involves a lot of subjective value judgements, and decisions are often based on experience, “gut feeling”, or intuition. Design options are evaluated based on quantitative and qualitative performance measures. There exists no objective optimal design solution.
· It is possible to identify some main activities that are common to most design processes. These are categorized into 4 main tasks: problem formulation, generation of alternatives, performance prediction and evaluation. The activities are very much overlapping and dependent on each other.
· Decision-making in design happens mainly through evaluation of proposed design solutions.
Livros sobre o assunto "Multi-criteria Design"
Velimirović, Lazar Z., Aleksandar Janjić e Jelena D. Velimirović. Multi-criteria Decision Making for Smart Grid Design and Operation. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7677-3.
Texto completo da fonteNguyen, Van Thanh Tien, Nhut T. M. Vo, Van Chinh Truong e Van-Thuc Nguyen. Multi-Criteria Decision-Making and Optimum Design with Machine Learning. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781032635170.
Texto completo da fonteSimms, Christine J. Process optimisation using design of experiments and some of the principles of Taguchi: Resolving multi-criteria conflicts within parameter design in static and dynamic processes. [S.l: The author], 2002.
Encontre o texto completo da fonteKlein, Donald E. Analysis, design, and implementation of a web-based training system for multi-criteria decision support, integrating hypertext, multimedia-based case studies and training software. Monterey, Calif: Naval Postgraduate School, 1997.
Encontre o texto completo da fonteSindhwani, Rahul. Multi-Criteria Decision Modelling. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteD’Errico, Fabrizio. Material Selections by a Hybrid Multi-Criteria Approach. Springer, 2015.
Encontre o texto completo da fonteD'Errico, Fabrizio. Material Selections by a Hybrid Multi-Criteria Approach. Springer, 2015.
Encontre o texto completo da fonteAkgül, Yakup, e Kemal Vatansever. Multi-Criteria Decision-Making Models for Website Evaluation. IGI Global, 2019.
Encontre o texto completo da fonteAkgül, Yakup, e Kemal Vatansever. Multi-Criteria Decision-Making Models for Website Evaluation. IGI Global, 2019.
Encontre o texto completo da fonteDavim, J. Paulo, Rahul Sindhwani, Punj Lata Singh, Bhawna Kumar e Varinder Kumar Mittal. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Multi-criteria Design"
Bestle, D., e P. Eberhard. "Multi–Criteria Multi–Model Design Optimization". In IUTAM Symposium on Optimization of Mechanical Systems, 33–40. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_5.
Texto completo da fonteDelinchant, Benoit, Laurence Estrabaud, Laurent Gerbaud e Frédéric Wurtz. "Multi-Criteria Design and Optimization Tools". In Integrated Design by Optimization of Electrical Energy Systems, 193–245. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561812.ch5.
Texto completo da fonteWillmes, Lars, e Thomas Bäck. "Multi-criteria Airfoil Design with Evolution Strategies". In Lecture Notes in Computer Science, 782–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36970-8_55.
Texto completo da fonteBertoni, Marco. "Multi Criteria Decision Making for PSS Design". In Data-Driven Decision Making for Product Service Systems, 87–113. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60082-1_4.
Texto completo da fonteNguyen, Hung T., e Vladik Kreinovich. "Multi-Criteria Optimization: An Important Foundation of Fuzzy System Design". In Fuzzy Systems Design, 24–35. Heidelberg: Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-7908-1885-7_2.
Texto completo da fonteLavagna, Michelle, e Amalia Ercoli Finzi. "Spacecraft Design as a Multi-Criteria Decision-Making". In Applied Optimization, 57–83. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3752-3_5.
Texto completo da fonteWoźniak, Piotr. "Multi-objective Control Systems Design with Criteria Reduction". In Lecture Notes in Computer Science, 583–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17298-4_65.
Texto completo da fonteMahammed, Nadir, e Sidi Mohamed Benslimane. "Toward Multi Criteria Optimization of Business Processes Design". In Model and Data Engineering, 98–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45547-1_8.
Texto completo da fonteBazargan-Lari, Massoud. "A Multi-Criteria Model for Warehouse Layout Design". In Lecture Notes in Economics and Mathematical Systems, 327–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56680-6_30.
Texto completo da fonteMunier, Nolberto, Eloy Hontoria e Fernando Jiménez-Sáez. "Design of a Decision-Making Model Reality-Wise: How Should It Be Done?" In Strategic Approach in Multi-Criteria Decision Making, 81–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02726-1_5.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Multi-criteria Design"
Montagna, Giaime Niccolò, Simone Piccardo, Matteo Passalacqua, Daria Bellotti, Luca Mantelli e Massimo Rivarolo. "THE ENERGY SYSTEMS ANALYSIS WITH A MULTI-CRITERIA DESIGN TOOL TO DECARBONIZE MARITIME TRANSPORT". In 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024), 216–27. Zografos, Greece: ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0019.
Texto completo da fonteDrid, Hamza, Bernard Cousin, Samer Lahoud e Miklos Molnar. "Multi-criteria p-cycle network design". In 2008 33rd IEEE Conference on Local Computer Networks (LCN 2008). IEEE, 2008. http://dx.doi.org/10.1109/lcn.2008.4664191.
Texto completo da fonteShiozawa, Kazufumi, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima e Toshiya Kotani. "Multi-criteria hotspot detection using pattern classification". In Design-Process-Technology Co-optimization for Manufacturability XIII, editado por Jason P. Cain e Chi-Min Yuan. SPIE, 2019. http://dx.doi.org/10.1117/12.2515665.
Texto completo da fonteSemenishchev, Evgeny, Igor Shraifel, Vladimir Marchuk, Ilia Svirin e Sergei Makov. "A multi-criteria method for noise reduction". In 2016 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2016. http://dx.doi.org/10.1109/ewdts.2016.7807651.
Texto completo da fonteSem, K., e S. Malhotra. "Multi-criteria network design using genetic algorithm". In IET Conference on Wireless, Mobile and Multimedia Networks. IEE, 2008. http://dx.doi.org/10.1049/cp:20080144.
Texto completo da fonteSerafini, Marco, Davide Russon e Caterina Rizzi. "Multi Criteria Material Selection for Eco-design". In CAD'14. CAD Solutions LLC, 2014. http://dx.doi.org/10.14733/cadconfp.2014.129-130.
Texto completo da fonteSerafni, Marco. "Multi Criteria Material Selection for Eco-design". In CAD'14 Hong Kong. CAD Solutions LLC, 2014. http://dx.doi.org/10.14733/cadconfp.2014.132-134.
Texto completo da fonteUnal, Ramazan, Gullu Kiziltas e Volkan Patoglu. "Multi-criteria Design Optimization of Parallel Robots". In 2008 IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2008. http://dx.doi.org/10.1109/ramech.2008.4681427.
Texto completo da fonteAlexopoulos, K., M. Pappas, V. Karabatsou, D. Mavrikios e G. Chryssolouris. "Human Motion Adaptation: A Multi-Criteria Approach". In 2006 Digital Human Modeling for Design and Engineering Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2351.
Texto completo da fonteYeung, S. H., K. F. Man e W. S. Chan. "ISM Band Antenna Design Based on Fuzzy MCDM Selection Technique". In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369437.
Texto completo da fonteRelatórios de organizações sobre o assunto "Multi-criteria Design"
Wiecek, Margaret M., Vijay Singh e Vincent Blouin. Multi-Scenario Multi-Criteria Optimization in Engineering Design. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2007. http://dx.doi.org/10.21236/ada462600.
Texto completo da fonteEngau, A., e M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Fort Belvoir, VA: Defense Technical Information Center, maio de 2006. http://dx.doi.org/10.21236/ada462566.
Texto completo da fonteGiller, R. A. Position paper: Live load design criteria for Project W-236A Multi-Function Waste Tank Facility. Office of Scientific and Technical Information (OSTI), junho de 1995. http://dx.doi.org/10.2172/97001.
Texto completo da fonteWang e Cheng. L52020 Extension of Strain Design Criteria to Buried HAZ Defects. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), janeiro de 2004. http://dx.doi.org/10.55274/r0011103.
Texto completo da fonteStephens, Yue e Bandstra. PR-224-094500-R01 Preliminary Target Reliability Levels for On-shore Liquid Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), abril de 2013. http://dx.doi.org/10.55274/r0010799.
Texto completo da fonteRoye, Thorsten. The Right Level of Automation for Industry 4.0. SAE International, maio de 2022. http://dx.doi.org/10.4271/epr2022013.
Texto completo da fonteFühr, Martin, Julian Schenten e Silke Kleihauer. Integrating "Green Chemistry" into the Regulatory Framework of European Chemicals Policy. Sonderforschungsgruppe Institutionenanalyse, julho de 2019. http://dx.doi.org/10.46850/sofia.9783941627727.
Texto completo da fonteEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak e Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, julho de 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
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