Bi-Objective Optimization Problems-A Game Theory Perspective to Improve Process and Product

被引:1
作者
Costa, Nuno [1 ,2 ]
Lourenco, Joao [1 ]
机构
[1] Inst Politecn Setubal, ESTSetubal, Campus IPS Estefanilha, P-2910761 Setubal, Portugal
[2] NOVA Sch Sci & Technol, Res & Dev Unit Mech & Ind Engn, Campus Caparica, P-2829516 Caparica, Portugal
关键词
nondominated; optimization; Pareto; robust; RSM; Stackelberg; ROBUST DESIGN; MULTIRESPONSE OPTIMIZATION; NASH; DESIRABILITY; METHODOLOGY; MODEL;
D O I
10.3390/su142214910
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:14
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