Relevant bibliographies by topics / Multi-criteria Design

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multi-criteria Design'

Author: Grafiati
Published: 14 December 2024
Last updated: 10 July 2025

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Journal articles on the topic "Multi-criteria Design"

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Radeva, Irina. "Multi-Criteria Models for Clusters Design." Cybernetics and Information Technologies 13, no. 1 (2013): 18–33. http://dx.doi.org/10.2478/cait-2013-0003.

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Abstract The paper describes economic agents’ integration in clusters on a predefined technological network. The process is divided and directed by three multi-criteria models. The first one allows selection of economic agents. The second one aims at definition of alternative cluster designs. The third model evaluates the risk of the clusters. The process and models are tested on nineteen economic agents.
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Mohamed, Nejlaoui, Najlawi Bilel, and Ali Sulaiman Alsagri. "A multi-objective methodology for multi-criteria engineering design." Applied Soft Computing 91 (June 2020): 106204. http://dx.doi.org/10.1016/j.asoc.2020.106204.

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Zargaryan, Yu A., E. V. Zargaryan, I. A. Dmitrieva, O. N. Sakharova, and I. V. Pushnina. "Modeling design information systems with multi-criteria." Journal of Physics: Conference Series 1679 (November 2020): 032057. http://dx.doi.org/10.1088/1742-6596/1679/3/032057.

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Serafini, Marco, Davide Russo, and Caterina Rizzi. "Multi Criteria Material Selection for Eco-design." Computer-Aided Design and Applications 12, no. 5 (2015): 526–36. http://dx.doi.org/10.1080/16864360.2015.1014730.

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Sirisalee, P., M. F. Ashby, G. T. Parks, and P. J. Clarkson. "Multi-Criteria Material Selection in Engineering Design." Advanced Engineering Materials 6, no. 12 (2004): 84–92. http://dx.doi.org/10.1002/adem.200300554.

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Beck, James L., Eduardo Chan, Ayhan Irfanoglu, and Costas Papadimitriou. "Multi-criteria optimal structural design under uncertainty." Earthquake Engineering & Structural Dynamics 28, no. 7 (1999): 741–61. http://dx.doi.org/10.1002/(sici)1096-9845(199907)28:7<741::aid-eqe840>3.0.co;2-6.

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Kuan, Yong, and Yahaya Ahmad. "Architectural Design Criteria for Multi-Storey Housing Buildings." Open House International 41, no. 1 (2016): 67–73. http://dx.doi.org/10.1108/ohi-01-2016-b0009.

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Architecture influences people and the environment from the past, present and the future. Nevertheless architecture and design quality is viewed as subjective, and benchmarks to achieve consensus are necessary for design or evaluation of buildings. This paper establishes architectural design criteria for design quality of multi-storey housing buildings. A set of the criteria was established with literature review, an operational definition and survey on qualified persons or architects in the professional practice of architecture. The literature reviews identified seven concepts for architecture and design quality, and the operational definition translated this architectural design quality to measurable and observable cases and variables. The survey collected these variable data from a purposive sample of 95 respondents, and these data were examined by statistical analysis. The results of the descriptive statistics, inferential t-tests (p ≤ 0.05) and positive hypothesis testing verified that respondents in general agreed to these seven design concepts as architectural design criteria for design quality. These results established the first ever set of seven architectural design criteria which were ranked in descending order of significance as function, socio-culture, site context, cost, aesthetic of art, sustainability, and Feng Shui. These architectural design criteria can be applied to the design or evaluation of multi-storey housing buildings for the good of people and the environment.
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Geldermann, Jutta, Nils Lerche, and Juan David Sepulveda. "Combining multi-criteria decision analysis and design thinking." European J. of Industrial Engineering 12, no. 5 (2018): 708. http://dx.doi.org/10.1504/ejie.2018.094597.

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Geldermann, Jutta, Juan David Sepulveda, and Nils Lerche. "Combining multi-criteria decision analysis and design thinking." European J. of Industrial Engineering 12, no. 5 (2018): 708. http://dx.doi.org/10.1504/ejie.2018.10015684.

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Papakostas, N., G. Pintzos, C. Giannoulis, N. Nikolakis, and 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.

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Dissertations / Theses on the topic "Multi-criteria Design"

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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.

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Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, March 2005.<br>Thesis Advisor(s): Fotis Papoulias, Roman B. Statnikov. Includes bibliographical references (p. 241). Also available online.
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Sirisalee, Pasu. "Multi-criteria material selection in engineering design." Thesis, University of Cambridge, 2005. https://www.repository.cam.ac.uk/handle/1810/251967.

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Treitz, Martin. "Production process design using multi-criteria analysis." Karlsruhe : Univ.-Verl. Karlsruhe, 2006. http://www.uvka.de/univerlag/volltexte/2006/178/.

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Anil, Kivanc A. "Multi-criteria analysis in naval ship design." Thesis, Monterey California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2325.

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Approved for public release, distribution is unlimited<br>Numerous 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.<br>Lieutenant Junior Grade, Turkish Navy
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Kudikala, Rajesh. "System architecture design using multi-criteria optimization." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/9703/.

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System architecture is defined as the description of a complex system in terms of its functional requirements, physical elements and their interrelationships. Designing a complex system architecture can be a difficult task involving multi-faceted trade-off decisions. The system architecture designs often have many project-specific goals involving mix of quantitative and qualitative criteria and a large design trade space. Several tools and methods have been developed to support the system architecture design process in the last few decades. However, many conventional problem solving techniques face difficulties in dealing with complex system design problems having many goals. In this research work, an interactive multi-criteria design optimization framework is proposed for solving many-objective system architecture design problems and generating a well distributed set of Pareto optimal solutions for these problems. System architecture design using multi-criteria optimization is demonstrated using a real-world application of an aero engine health management (EHM) system. A design process is presented for the optimal deployment of the EHM system functional operations over physical architecture subsystems. The EHM system architecture design problem is formulated as a multi-criteria optimization problem. The proposed methodology successfully generates a well distributed family of Pareto optimal architecture solutions for the EHM system, which provides valuable insights into the design trade-offs. Uncertainty analysis is implemented using an efficient polynomial chaos approach and robust architecture solutions are obtained for the EHM system architecture design. Performance assessment through evaluation of benchmark test metrics demonstrates the superior performance of the proposed methodology.
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Hodgett, Richard Edgar. "Multi-criteria decision-making in whole process design." Thesis, University of Newcastle Upon Tyne, 2013. http://hdl.handle.net/10443/1838.

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In recent years, the chemical and pharmaceutical industries have faced increased development times and costs with fewer novel chemicals being discovered. This has resulted in many companies focusing on innovative research and development as they consider this key to business success. In particular, a number of leading industrial organisations have adopted the principles of Whole Process Design (WPD). WPD considers the optimisation of the entire product development process, from raw materials to end product, rather than focusing on each individual unit operation. The complexity involved in the implementation of WPD requires rationalised decision-making, often with limited or uncertain information. This thesis assesses the most widely applied methods in Multi-Criteria Decision Analysis (MCDA) in conjunction with the results of two interviews and two questionnaires that identified the industrial requirements for decision-making during WPD. From the findings of this work, a novel decision-making methodology was proposed, the outcome of which allows a decision-maker to visually interpret their decision results with associated levels of uncertainty. To validate the proposed methodology, a software framework was developed that incorporates two other decision-making approaches, the Analytical Hierarchy Process (AHP) and ELimination Et Choix Traduisant la REalité trois (ELECTRE III). The framework was then applied to a number of industrial case studies to validate the application of the proposed methodology.
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Cortes, 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/.

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Mixing is a key process in microfluidic systems since that samples and reagents generally need to be mixed thoroughly before chemical or biological analysis or reactions. Micromixers are designed to fulfil this critical process. In general, the development of microdevices is a competitive field that requires from researchers shorter times and lower costs in prototyping. Computational Fluid Dynamics (CFD) helps in reducing the time from concept to device design. Intuition and experience of the designer is usually behind its application on design improvement, by analyzing some physical variables to determine the effect of design parameters and to adjust them accordingly to the pursued objectives. In this thesis, a design and optimization strategy is presented and used for the analysis and design of micromixers. The method systematically integrates CFD with an optimization strategy based on the use of Design of Experiments, Surrogate Modelling and Multi-Objective Genetic Algorithm techniques. The aim is to define optimum designs that give the trade-off of the performance parameters, which in this study are the mixing index, defined on the basis of mass concentration distribution, and the pressure drop in the microchannel. Three types of micromixers have been studied and their geometric parameters have been optimized. They are the Staggered Herringbone Mixer and two novel designs, a planar micromixer with baffles in the microchannel and a 3-D T-type micromixer. A completed fabrication method was implemented as part of this thesis work and it was used to fabricate some of the micromixers. Experimental measurements and published data have been used to validate the numerical results. The outcomes of this thesis demonstrate that using advanced optimisation techniques on the basis of CFD solutions and analyses allows the design of optimum micromixers for different operation conditions, which can be set by the designer, without being necessary to use a referential design to start the method.
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Bouzembrak, Yamine. "Multi-criteria Supply Chain Network Design under uncertainty." Thesis, Artois, 2011. http://www.theses.fr/2011ARTO0211/document.

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Les modèles de conception des chaînes logistiques sont devenus de plus en plus complexes, à cause de l'environnement économique incertain et l'introduction de nouveaux critères de décision tels que : l'aspect environnemental, l'aspect social, l'aspect législatif, l'aspect économique, la satisfaction du client et la prise en compte des risques. Répondre aux changements qui touchent les chaînes logistiques exige de composer avec des incertitudes et des informations incomplètes. Configurer des chaînes logistiques multicritères avec prise en compte des incertitudes peut garantir la continuité des activités de l'entreprise.L'objectif principal de cette thèse est la conception de chaînes logistiques multicritères qui résistent aux changements et l'instabilité des marchés. Le manuscrit de cette thèse s'articule autour de sept principaux chapitres:1 - introduction.2 - Etat de l'art sur la conception des chaînes logistiques.3 -Conception des chaînes logistiques multicritères en mesure de répondre aux nouveauxcritères économiques, sociaux, environnementaux et législatifs.4 - Conception des chaînes logistiques multi-objectifs.5 - Développement d'une heuristique de résolution des problèmes de conception deschaînes logistiques de taille réelle.6 - Conception des chaînes logistiques avec prise en compte des incertitudes.7 - Conclusions et perspectives<br>This 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
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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.

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Hoy en día, los controladores proporcionales integrales y proporcionales integrales derivativos son los algoritmos de control más utilizado en la industria. Por otra parte, los controladores fraccionarios han recibido atención recientemente, por parte de la comunidad científica y desde el punto de vista industrial. Debido a esto, en esta tesis algunos de los escenarios implican la sintonización de estos controladores mediante el procedimiento de diseño mediante la optimización multi-objetivo. Este procedimiento se centra en proporcionar un equilibrio razonable entre los objetivos en conflicto y brinda al diseñador la posibilidad de apreciar la comparación de los objetivos de diseño. Esta tesis se divide en tres partes. La primera parte, presenta los fundamentos del sistema de control y discusión de los diferentes compromisos: entre los modos de operación servo / regulación y del rendimiento / robustez. Por otro lado, se ha proporcionado un marco conceptual acerca de la optimización multi-objetivo. La segunda parte, introduce la solución de Nash como una técnica de selección multi-criterio, para seleccionar un punto del frente de Pareto, que represente el mejor compromiso entre los objetivos de diseño. Esta solución es una selección semi-automática escogida en la aproximación del frente de Pareto y ofrece un buen compromiso entre los objetivos de diseño. Luego, se presenta el Multi-stage approach para el proceso de optimización multi-objetivo. Este enfoque implica dos algoritmos: un algoritmo determinista y algoritmo evolutivo. En el cual ambos algoritmos se complementen entre sí a pesar de sus desventajas y mejoran los resultados de la optimización en términos de convergencia y precisión. Además, se introduce el objetivo basado en la fiabilidad, en la descripción del problema multi-objetivo, este se utiliza para medir la degradación del rendimiento. Vale la pena mencionar que, debido a la existencia de incertidumbres en el diseño y fabricación, teniendo este objetivo de diseño le dará otra perspectiva al diseñador en el mundo real. Con el fin de validar el método, dos casos de estudios se ha considerado, el problema de control de la caldera (The Boiler Control Benchmark) para la sintonización de controladores y como segundo caso, una pila Peltier nolineal. Por último, la tercera parte de esta tesis, presentan las contribuciones a la sintonización de controladores. En primer lugar, se propone un conjunto de reglas de sintonía basado en la solución de Nash para un controlador proporcional-integral, en donde la robustez / rendimiento han sido considerados. Por otra parte, como un segundo caso se presenta las reglas de sintonía para un controlador proporcional-integral-derivativo, donde se han considerado el compromiso de robustez/rendimiento y los modos de operación servo / regulación. Además, se proponen reglas de sintonía para el controlador proporcional-integral-derivativo-fraccional-orden implementado el Multi-stage approach para la optimización multi-objetivo.<br>Nowadays, 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.
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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.

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<p>The 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.</p><p>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.</p><p>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:</p><p>· 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.</p><p>· 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.</p><p>· 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.</p><p>· Decision-making in design happens mainly through evaluation of proposed design solutions.</p>
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Books on the topic "Multi-criteria Design"

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Velimirović, Lazar Z., Aleksandar Janjić, and Jelena D. Velimirović. Multi-criteria Decision Making for Smart Grid Design and Operation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7677-3.

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Nguyen, Van Thanh Tien, Nhut T. M. Vo, Van Chinh Truong, and Van-Thuc Nguyen. Multi-Criteria Decision-Making and Optimum Design with Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781032635170.

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Simms, 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. The author], 2002.

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Klein, 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. Naval Postgraduate School, 1997.

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Sindhwani, Rahul. Multi-Criteria Decision Modelling. Taylor & Francis Group, 2021.

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D’Errico, Fabrizio. Material Selections by a Hybrid Multi-Criteria Approach. Springer, 2015.

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D'Errico, Fabrizio. Material Selections by a Hybrid Multi-Criteria Approach. Springer, 2015.

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Akgül, Yakup, and Kemal Vatansever. Multi-Criteria Decision-Making Models for Website Evaluation. IGI Global, 2019.

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Akgül, Yakup, and Kemal Vatansever. Multi-Criteria Decision-Making Models for Website Evaluation. IGI Global, 2019.

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Davim, J. Paulo, Rahul Sindhwani, Punj Lata Singh, Bhawna Kumar, and Varinder Kumar Mittal. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies. Taylor & Francis Group, 2021.

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Book chapters on the topic "Multi-criteria Design"

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Bestle, D., and P. Eberhard. "Multi–Criteria Multi–Model Design Optimization." In IUTAM Symposium on Optimization of Mechanical Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_5.

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Delinchant, Benoit, Laurence Estrabaud, Laurent Gerbaud, and Frédéric Wurtz. "Multi-Criteria Design and Optimization Tools." In Integrated Design by Optimization of Electrical Energy Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561812.ch5.

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Willmes, Lars, and Thomas Bäck. "Multi-criteria Airfoil Design with Evolution Strategies." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36970-8_55.

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Bertoni, Marco. "Multi Criteria Decision Making for PSS Design." In Data-Driven Decision Making for Product Service Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60082-1_4.

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Nguyen, Hung T., and Vladik Kreinovich. "Multi-Criteria Optimization: An Important Foundation of Fuzzy System Design." In Fuzzy Systems Design. Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-7908-1885-7_2.

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Lavagna, Michelle, and Amalia Ercoli Finzi. "Spacecraft Design as a Multi-Criteria Decision-Making." In Applied Optimization. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3752-3_5.

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Woźniak, Piotr. "Multi-objective Control Systems Design with Criteria Reduction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17298-4_65.

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Mahammed, Nadir, and Sidi Mohamed Benslimane. "Toward Multi Criteria Optimization of Business Processes Design." In Model and Data Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45547-1_8.

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Bazargan-Lari, Massoud. "A Multi-Criteria Model for Warehouse Layout Design." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56680-6_30.

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Munier, Nolberto, Eloy Hontoria, and Fernando Jiménez-Sáez. "Design of a Decision-Making Model Reality-Wise: How Should It Be Done?" In Strategic Approach in Multi-Criteria Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02726-1_5.

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Conference papers on the topic "Multi-criteria Design"

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Montagna, Giaime Niccolò, Simone Piccardo, Matteo Passalacqua, Daria Bellotti, Luca Mantelli, and 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). ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0019.

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Drid, Hamza, Bernard Cousin, Samer Lahoud, and 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.

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Shiozawa, Kazufumi, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, and Toshiya Kotani. "Multi-criteria hotspot detection using pattern classification." In Design-Process-Technology Co-optimization for Manufacturability XIII, edited by Jason P. Cain and Chi-Min Yuan. SPIE, 2019. http://dx.doi.org/10.1117/12.2515665.

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Semenishchev, Evgeny, Igor Shraifel, Vladimir Marchuk, Ilia Svirin, and 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.

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Sem, K., and 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.

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Serafini, Marco, Davide Russon, and 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.

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Serafni, 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.

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Unal, Ramazan, Gullu Kiziltas, and 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.

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Alexopoulos, K., M. Pappas, V. Karabatsou, D. Mavrikios, and G. Chryssolouris. "Human Motion Adaptation: A Multi-Criteria Approach." In 2006 Digital Human Modeling for Design and Engineering Conference. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2351.

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Yeung, S. H., K. F. Man, and 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.

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Reports on the topic "Multi-criteria Design"

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Wiecek, Margaret M., Vijay Singh, and Vincent Blouin. Multi-Scenario Multi-Criteria Optimization in Engineering Design. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada462600.

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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462566.

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Giller, R. A. Position paper: Live load design criteria for Project W-236A Multi-Function Waste Tank Facility. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/97001.

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Wang and Cheng. L52020 Extension of Strain Design Criteria to Buried HAZ Defects. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0011103.

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This project is a part of a multi-year effort intended to develop alternative defect acceptance criteria for pipelines experiencing high longitudinal strains.� A systematic investigation of various factors affecting the tensile strain limits of buried girth weld defects is conducted.� By using the concept of crack driving and apparent toughness, the baseline tensile strain limits of girth welds with buried defect are established for a wide range of pipe grades, wall thickness, defect size, and material toughness.� The relative influence of various factors affecting the strain limits of girth welds with buried defects is characterized.
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Stephens, Yue, and Bandstra. PR-224-094500-R01 Preliminary Target Reliability Levels for On-shore Liquid Pipelines. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010799.

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Report describes a set of preliminary reliability targets for low vapor pressure hydrocarbon liquid pipelines. The targets were developed as part of a multi-year program to establish the reliability based design and assessment (RBDA) method as a viable decision-making alternative for onshore transmission pipelines. The targets are used as acceptance criteria in the application of RBDA. A pipeline is considered acceptable if it meets these targets.
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Roye, Thorsten. The Right Level of Automation for Industry 4.0. SAE International, 2022. http://dx.doi.org/10.4271/epr2022013.

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In its entirety, automation is part of an integrated, multi-disciplinary product development process including the design, process, production, logistics, and systems approach—it depends on all these areas, but it also influences them as well. Automation in aerospace manufacturing is present throughout the entire supply chain, from elementary part manufacturing at suppliers up to final assembly, and a clear understanding of all the benefits (and drawbacks) of automation would help designers and engineers select the right designs for and levels of automation. The Right Level of Automation Within Industry 4.0 examines all impacts of automation that should be known by designers, manufacturers, and companies before investments in automation-related decisions are made—regardless of the which industry they work in. The process and the set of criteria discussed in this report will help decision makers select the right level of automation.
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Führ, Martin, Julian Schenten, and Silke Kleihauer. Integrating "Green Chemistry" into the Regulatory Framework of European Chemicals Policy. Sonderforschungsgruppe Institutionenanalyse, 2019. http://dx.doi.org/10.46850/sofia.9783941627727.

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20 years ago a concept of “Green Chemistry” was formulated by Paul Anastas and John Warner, aiming at an ambitious agenda to “green” chemical products and processes. Today the concept, laid down in a set of 12 principles, has found support in various arenas. This diffusion was supported by enhancements of the legislative framework; not only in the European Union. Nevertheless industry actors – whilst generally supporting the idea – still see “cost and perception remain barriers to green chemistry uptake”. Thus, the questions arise how additional incentives as well as measures to address the barriers and impediments can be provided. An analysis addressing these questions has to take into account the institutional context for the relevant actors involved in the issue. And it has to reflect the problem perception of the different stakeholders. The supply chain into which the chemicals are distributed are of pivotal importance since they create the demand pull for chemicals designed in accordance with the “Green Chemistry Principles”. Consequently, the scope of this study includes all stages in a chemical’s life-cycle, including the process of designing and producing the final products to which chemical substances contribute. For each stage the most relevant legislative acts, together establishing the regulatory framework of the “chemicals policy” in the EU are analysed. In a nutshell the main elements of the study can be summarized as follows: Green Chemistry (GC) is the utilisation of a set of principles that reduces or eliminates the use or generation of hazardous substances in the design, manufacture and application of chemical products. Besides, reaction efficiency, including energy efficiency, and the use of renewable resources are other motives of Green Chemistry. Putting the GC concept in a broader market context, however, it can only prevail if in the perception of the relevant actors it is linked to tangible business cases. Therefore, the study analyses the product context in which chemistry is to be applied, as well as the substance’s entire life-cycle – in other words, the six stages in product innovation processes): 1. Substance design, 2. Production process, 3. Interaction in the supply chain, 4. Product design, 5. Use phase and 6. After use phase of the product (towards a “circular economy”). The report presents an overview to what extent the existing framework, i.e. legislation and the wider institutional context along the six stages, is setting incentives for actors to adequately address problematic substances and their potential impacts, including the learning processes intended to invoke creativity of various actors to solve challenges posed by these substances. In this respect, measured against the GC and Learning Process assessment criteria, the study identified shortcomings (“delta”) at each stage of product innovation. Some criteria are covered by the regulatory framework and to a relevant extent implemented by the actors. With respect to those criteria, there is thus no priority need for further action. Other criteria are only to a certain degree covered by the regulatory framework, due to various and often interlinked reasons. For those criteria, entry points for options to strengthen or further nuance coverage of the respective principle already exist. Most relevant are the deltas with regard to those instruments that influence the design phase; both for the chemical substance as such and for the end-product containing the substance. Due to the multi-tier supply chains, provisions fostering information, communication and cooperation of the various actors are crucial to underpin the learning processes towards the GCP. The policy options aim to tackle these shortcomings in the context of the respective stage in order to support those actors who are willing to change their attitude and their business decisions towards GC. The findings are in general coherence with the strategies to foster GC identified by the Green Chemistry &amp; Commerce Council.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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