A genetic algorithm to determine production schedule in an imperfect manufacturing system with time-vary unit cost

被引：0

作者：

Ouyan, Bing-Chang ^{[1
]}

Lin, Yi-Chen ^{[2
]}

机构：

[1] Vanung Univ, Dept Business Adm, Chungli 32061, Taiwan

[2] Vanung Univ, Grad Sch Business & Management, Chungli 32061, Taiwan

来源：

ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2 | 2014年 / 889-890卷

关键词：

Economic production quality (EPQ); Imperfect quality; Time-vary cost and Genetic algorithm; LOT-SIZE; QUALITY;

D O I：

10.4028/www.scientific.net/AMR.889-890.1563

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Considering time-vary in unit cost and imperfect quality in process, this study presents a genetic algorithm to deal with the production schedule and batch lot problem for a manufacturing system. Incorporating linearly and exponentially continuous unit production cost, we assume that defective items are reworked at a constant rate after regular production immediately. Not all of the defective items are reworked but a portion of them are scraped due to serious damage. Our objective is to minimize the expected value of total cost for this production system. A genetic algorithm with the chromosome of real number type to solve this problem is proposed. 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 an approximate solution is provided.

引用

页码：1563 / +

页数：2

共 37 条

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