Production planning and control with outsourcing using artificial intelligence

Anna Lawrynowicz

International Journal of Services and Operations Management, 2007, vol. 3, issue 2, 193-209

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.

Keywords: production planning; production control; genetic algorithms; job shop scheduling; JSP; outsourcing; artificial intelligence; supply chain management; SCM; expert systems; process planning; intelligent scheduling. (search for similar items in EconPapers)
Date: 2007
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