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A Genetic Algorithm to Determine Production Schedule in an Imperfect Manufacturing System with Time-Vary Unit Cost

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 889-890)

Pages:

1563-1568

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.889-890.1563

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Online since:

February 2014

Authors:

Bing Chang Ouyang, Yi Chen Lin

Keywords:

Economic Production Quality (EPQ), Imperfect Quality, Time-Vary Cost and Genetic Algorithm

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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