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Hybrid approach with an expert system and a genetic algorithm to production management in the supply net

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  • Anna Ławrynowicz

Abstract

A new approach to solving production management problems in the supply net is proposed. An expert system designed to help companies in medium‐term and short‐term production planning is discussed. The proposed expert system considers alternative process plans for a job and outsourcing, when a bottleneck exists in the machine. The proposed hybrid system uses the output of the expert system as the input of the genetic algorithm. The output of the genetic algorithm is a near optimal schedule. The proposed method does not require any unrealistic assumptions. It can be used to solve highly complicated and non‐linear functions of a realistic problem. Copyright © 2007 John Wiley & Sons, Ltd.

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  • Anna Ławrynowicz, 2006. "Hybrid approach with an expert system and a genetic algorithm to production management in the supply net," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 14(1‐2), pages 59-76, January.
    • Handle: RePEc:wly:isacfm:v:14:y:2006:i:1-2:p:59-76
    DOI: 10.1002/isaf.272
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    1. Blazewicz, Jacek & Domschke, Wolfgang & Pesch, Erwin, 1996. "The job shop scheduling problem: Conventional and new solution techniques," European Journal of Operational Research, Elsevier, vol. 93(1), pages 1-33, August.
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    Cited by:

    1. Leszek Ziora & Adam Nowicki & Stanis³aw Stanek, 2013. "The Applicability Of Hybrid Systems In Support Of The Corporate Management Process: A Review Of Selected Practical Examples," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 8(1), pages 269-279, December.
    2. Ławrynowicz Anna, 2011. "Genetic Algorithms for Solving Scheduling Problems in Manufacturing Systems," Foundations of Management, Sciendo, vol. 3(2), pages 7-26, January.

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