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Applying case-based reasoning in assembly sequence planning

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  • Q. Su

Abstract

Assembly sequence planning (ASP) is the foundation of the assembly process planning which plays a key role in the whole product life cycle. In this paper, a unique ASP reasoning method supported by the artificial intelligent technique of case-based reasoning (CBR) is proposed and developed. First, based on the previous ASP literatures review and the CBR characteristics analysis, the systematic architecture of the CBR based ASP is presented. Then, some key techniques including assembly case modelling, similar case retrieving, case based reasoning, and case base maintenance, etc., are explored thoroughly. To enhance the efficiency and quality of the reasoning process, genetic algorithm (GA) is designed and applied to automatically inferring of the reference assembly sequence. Finally, the corresponding software system with an engineering example is given to demonstrate the effectiveness of the CBR based ASP.

Suggested Citation

  • Q. Su, 2007. "Applying case-based reasoning in assembly sequence planning," International Journal of Production Research, Taylor & Francis Journals, vol. 45(1), pages 29-47, January.
    • Handle: RePEc:taf:tprsxx:v:45:y:2007:i:1:p:29-47
    DOI: 10.1080/00207540600632182
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    Cited by:

    1. Klindworth, Hanne & Otto, Christian & Scholl, Armin, 2012. "On a learning precedence graph concept for the automotive industry," European Journal of Operational Research, Elsevier, vol. 217(2), pages 259-269.
    2. Shraga Shoval & Mahmoud Efatmaneshnik & Michael J. Ryan, 2017. "Assembly sequence planning for processes with heterogeneous reliabilities," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2806-2828, May.

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