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Production planning and control with outsourcing using artificial intelligence

Author

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  • Anna Lawrynowicz

Abstract

In this paper, a new approach to production planning and control for job shop is proposed. A general approach is: using in the first phase expert systems to create production plan and using in the second phase genetic algorithms to construct a schedule. The author discusses an expert system designed to help companies in the short-term production planning and control in supply net. The proposed expert system considers alternative process plans for a workpiece and outsourcing. In this paper, a new approach with the genetic algorithm to the Job shop Scheduling Problem (JSP) with makespan as the criterion has been developed. The proposed combination of expert system and genetic algorithm has been tested using data from real factories. The research indicates that for a scheduling problem, the concept using genetic algorithm yields better results when using the methods based on dispatching rule.

Suggested Citation

  • Anna Lawrynowicz, 2007. "Production planning and control with outsourcing using artificial intelligence," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(2), pages 193-209.
    • Handle: RePEc:ids:ijsoma:v:3:y:2007:i:2:p:193-209
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