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Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product
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| 1.27 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
Cost-effective manufacturing processes or products are no longer the only requirements for business sustainability. An approach based on Game Theory is suggested to find solutions for bi-objective problems. In particular, Stackelberg’s technique is employed and complemented with the Factors Scaling tool to help the users in defining its strategy for optimizing process and product quality characteristics. No subjective information (shape factors, weights, and/or any other preference information) is required from the users, and basic computational background is enough for implementing it. Two case studies provide evidence that the suggested easy-to-use approach can yield nondominated solutions from a small number of Leader–Follower cycles, what reinforces its usefulness for bi-objective optimization problems.
Descrição
Publisher Copyright: © 2022 by the authors. This research received no external funding.
Palavras-chave
nondominated optimization Pareto robust RSM Stackelberg Computer Science (miscellaneous) Geography, Planning and Development Renewable Energy, Sustainability and the Environment Building and Construction Environmental Science (miscellaneous) Energy Engineering and Power Technology Hardware and Architecture Computer Networks and Communications Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy