Scheduling and planning problem in manufacturing systems with multiobjective genetic algorithm

被引:0
|
作者
Li, Y [1 ]
Man, KF [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong
关键词
multiobjective optimization; multiobjective genetic algorithms; manufacturing resource planning; Just-in-time;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper an extensive earliness/tardiness production scheduling and planning(ETPSP) model with lot-size consideration and capacity balance is proposed. An innovative approach using multiobjective genetic algorithm (MOGA) is designed as its solutions. The presented MOGA approach can even deal with ETPSP problem which consists of highly complicated and nonlinear functions for the measure performance. The effectiveness of this approach is demonstrated by simulation results as well as the comparisons with other techniques.
引用
收藏
页码:274 / 279
页数:6
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