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The development of genetic algorithms for the finite capacity scheduling of complex products with multiple levels of product structure

Lookup NU author(s): Dr Pupong Pongcharoen, Professor Christian Hicks, Professor Paul Braiden

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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 data structure and algorithm are detailed step by step. The tool generates schedules that minimises the penalties caused by early and late delivery of for components, assemblies and final products. The method is applied using data obtained from a collaborating 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.


Publication metadata

Author(s): Pongcharoen P, Hicks C, Braiden PM

Publication type: Article

Publication status: Published

Journal: European Journal of Operational Research

Year: 2004

Volume: 152

Issue: 1

Pages: 215-225

Print publication date: 01/01/2004

ISSN (print): 0377-2217

ISSN (electronic): 1872-6860

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/S0377-2217(02)00645-8

DOI: 10.1016/S0377-2217(02)00645-8


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