An Uncertain Multi-objective Assembly Line Balancing Problem: A Credibility-Based Fuzzy Modeling Approach

被引:10
作者
Mirzaei, Nima [1 ]
Mahmoodirad, Ali [2 ]
Niroomand, Sadegh [3 ]
机构
[1] Istanbul Aydin Univ, Dept Ind Engn, Istanbul, Turkey
[2] Islamic Azad Univ, Dept Math, Masjed Soleiman Branch, Masjed Soleiman, Iran
[3] Firouzabad Inst Higher Educ, Dept Ind Engn, Firouzabad, Fars, Iran
关键词
Assembly line balancing problem; Fuzzy theory; Credibility-based fuzzy modeling; Max-Min criterion method; Global criterion method; GENETIC ALGORITHM; NSGA-II; OPTIMIZATION; DESIGN;
D O I
10.1007/s40815-019-00734-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An assembly line balancing problem with three minimization type objective functions e.g. the number of stations, the total tool purchasing cost of all stations, and the cycle time is considered in this study. As some parameters of the problem are of fuzzy type uncertainty, a hybrid credibility-based fuzzy modeling approach is proposed to re-formulate the problem as a crisp formulation. As the objective functions of the problem are of different scales, an interactive approach equipped with two different solution approaches of Max-Min criterion and Global criterion is proposed to obtain the Pareto optimal solutions of the crisp formulation. Finally, the efficiency of the proposed solution approaches is tested by a numerical example.
引用
收藏
页码:2392 / 2404
页数:13
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