A genetic algorithm for the production policy in a supply chain under discrete demand and time-vary cost

被引：0
|
作者：
Ouyang, Bing-Chang [1 ]
机构：
[1] Vanung Univ, Dept Business Adm, Chungli 32061, Taiwan
来源：
MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4 | 2013年 / 321-324卷
关键词：
Distribution Requirement Planning (DRP); Just in Time (JIT); Supply chain; discrete demand and time-vary unit production cost; production policy and genetic algorithm (GA); LOT-SIZE; QUANTITY MODELS;
D O I：
10.4028/www.scientific.net/AMM.321-324.2137
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Considering discrete demand and time-vary unit production cost under a foreseeable time horizon, this study presents an adaptive genetic algorithm to determine the production policy for one manufacturer supplying single item to multiple warehouses in a supply chain environment. Based on Distribution Requirement Planning (DRP) and Just in Time (HT) delivery policy, we assume each gene in chromosome represents a period. Standard GA operators are used to generate new populations. These populations are evaluated by a fitness function using the total cost of production scheme. An explicit procedure for obtaining the local optimal solution is provided.
引用
收藏
页码：2137 / 2140
页数：4
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