A memetic algorithm for a stochastic lot-sizing and sequencing problem

被引:2
|
作者
Schemeleva, Kseniya [1 ]
Delorme, Xavier [2 ]
Dolgui, Alexandre [2 ]
机构
[1] Univ Lyon 2, CNRS UMR 5593, Lab Econ Transports, Lyon, France
[2] Ecole Natl Super Mines, FAYOL EMSE, CNRS UMR 6158, LIMOS, St Etienne, France
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 03期
关键词
Lot-sizing; sequencing; imperfect production; genetic algorithms; UNRELIABLE PRODUCTION SYSTEM; GENETIC ALGORITHM; FLOW LINE; UNCERTAINTIES; MODELS; TIMES; SIZE;
D O I
10.1016/j.ifacol.2015.06.349
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A stochastic multi-product lot-sizing and sequencing problem is considered. Two kinds of uncertainties are integrated into the model: defectives items due to the machines' imperfections and random lead time because of randomly arising breakdowns and uncertain repair time. There are also sequence dependent set-up times between two items of different types. The optimization problem is to maximize the probability of overall demand satisfying. In the previous work only the lot-sizing part of the problem was considered (a decomposition approach was used). Here we study the entire problem with sequencing and lot-sizing decisions integrated. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1809 / 1814
页数:6
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