A New Bi-objective Mathematical Model for Sustainable Dynamic Cellular Manufacturing Systems

被引：0
|
作者：
Niakan, F. [1 ]
Baboli, A. [1 ]
Moyaux, T. [1 ]
Botta-Genoulaz, V. [1 ]
机构：
[1] Univ Lyon, INSA Lyon, DISP EA4570, F-69621 Villeurbanne, France
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | 2014年
关键词：
Dynamic cell configuration; sustainability; bi-objective optimization; non-dominated sorting genetic algorithm; DESIGN;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This study addresses dynamic cell configuration and labor assignment by making a trade-off between economic, social and environmental criteria which is called as sustainability configuration. In order to improve the study about energy loss, a new bi-objective mathematical model is presented. The first objective of model minimizes cost criteria and the second one energy loss which is represented by the efficiency of each machine. We develop a Non-dominated Sorting Genetic Algorithm (NSGA-II) in order to solve our model. The applicability of our approach is illustrated by two test problems.
引用
收藏
页码：938 / 942
页数：5
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