A Genetic Algorithm for the Production Policy in a Supply Chain under Discrete Demand and Time-Vary Cost
2013 ◽
Vol 321-324
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pp. 2137-2140
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Keyword(s):
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.
2015 ◽
Vol 713-715
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pp. 1579-1582
2014 ◽
Vol 538
◽
pp. 193-197
2012 ◽
Vol 155-156
◽
pp. 789-794
2013 ◽
Vol 760-762
◽
pp. 1690-1694
2008 ◽
Vol 111
(2)
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pp. 229-243
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Keyword(s):