Using AI approach to solve a production-inventory model with a random product life cycle under inflation

被引：0
|
作者：
Wee, H. M. [1 ]
Yu, Jonas C. P. [2 ]
Yang, P. C. [3 ]
机构：
[1] Chung Yuan Christian Univ, Dept Ind Engn, Chungli 32023, Taiwan
[2] Takming Coll, Logist Management Dept, Taipei, Taiwan
[3] St Johns & St Marys Inst Technol, Dept Ind Engn & Management, Tamsui 25135, Taiwan
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2007, PT 1, PROCEEDINGS | 2007年 / 4705卷
关键词：
inventory; inflation; product life cycle; genetic algorithm;
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：
This paper considers a production-inventory system with inflation and a random life cycle. Two conditions are discussed: the first is when the product life cycle ends in the production stage and the second is when the product life cycle ends in the non-production stage. We develop a genetic algorithm to find the optimal period time and the lowest expected total cost. Numerical examples and sensitivity analyses are given to validate the results of the production model.
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页码：734 / +
页数：3
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