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A Genetic Algorithm for the Production Policy in a Supply Chain under Discrete Demand and Time-Vary Cost

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Abstract:

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 (JIT) 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.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2137-2140

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2137

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Online since:

June 2013

Authors:

Bing Chang Ouyang

Keywords:

Discrete Demand, Distribution Requirement Planning (DRP), Genetic Algorithm (GA), Just in Time (JIT), Production Policy, Supply Chain, Time-Vary Unit Production Cost

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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