Genetic algorithm for multi-objective two-echelon supply chain design

被引:0
作者
Peng Yang
Chen Zixia
机构
来源
Proceedings of 2005 International Conference on Innovation & Management | 2005年
关键词
supply chain; genetic algorithm; multi-objective optimization;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The paper deals with the and two-echelon supply chain design problem, a model of multi-supplier/deposit, multi-product, and multi-demander is presented. And in order to solve this multi-objective and complex combinational optimization problem, a developed Genetic Algorithm, by designing appropriated code and operator, is discussed. Finally, a case study shows its validity and efficiency.
引用
收藏
页码:747 / 751
页数:5
相关论文
共 7 条
[1]  
Abdinnour-Helm S., 1999, INT J AGILE MANAGEME, V1, P99, DOI [10.1108/14654659910280929, DOI 10.1108/14654659910280929]
[2]   A note on 'A genetic algorithm approach for multiple criteria facility layout design' - Discussion [J].
Al-Hakim, L .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2000, 38 (04) :985-989
[3]  
DAYANI S, 1999, EOUROPEAN J OPERATIO, P389
[4]  
GE W, 2004, INT J PROD ECON, P1
[5]  
LIU CL, 2002, J MANAGEMENT SCI CHI, V4, P29
[6]   Optimizing the multiple constrained resources product mix problem using genetic algorithms [J].
Onwubolu, GC ;
Muting, M .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (09) :1897-1910
[7]  
SAKAWA M, 2002, ALGORITHMS FUZZY MUL, P188