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Author:Pongcharoen, P.
Hicks, C.
Braiden, P.M.
Title:The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure
Journal:European Journal of Operational Research
2004 : JAN, VOL. 152:1, p. 215-225
Index terms:Algorithms
Production scheduling
Resource allocation
Optimization
Capital goods
Language:eng
Abstract:In this paper, the development of a genetic algorithms based scheduling tool that takes into account multiple resource constraints and multiple levels of product structure is described. The genetic algorithms includes a repair process that rectifies infeasible chromosomes that may be produced during evolution process. The algorithm includes problem encoding, chromosome representation and initialisation, genetic operation, repair process, fitness measurement and chromosome selection. The tool generates schedules that minimises the penalties caused by early and late delivery of components, assemblies and final products. The method is applied using data obtained from a collaboration company that manufactures complex capital goods. It is demonstrated that the schedules produced perform significantly better than those produced by the company using a conventional planning method.
SCIMA record nr: 254597
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