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Composite performance metric for product flow configuration selection of reconfigurable manufacturing system (RMS)

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  • Prince Pal Singh
  • Jatinder Madan
  • Harwinder Singh

Abstract

This paper proposes a new metric for product flow configuration selection for reconfigurable manufacturing system (RMS) that considers nine industrially relevant important factors. The metrics for the identified factors are first proposed and a composite performance metric (CPM) that accounts for the nine factors is proposed to assess RMS performance. The developed methodology of CPM provides the user to opt either a subjective or an objective approach to assign suitable weights for each of the nine performance metrics. Developed CPM has been applied in an industrial environment with the support of a manufacturing company by taking two case study parts and alternate configurations to conduct the study. The research work presented in the paper presents a novel approach to identify the most suitable configuration in a RMS addressing a major challenge faced by the industry.

Suggested Citation

  • Prince Pal Singh & Jatinder Madan & Harwinder Singh, 2021. "Composite performance metric for product flow configuration selection of reconfigurable manufacturing system (RMS)," International Journal of Production Research, Taylor & Francis Journals, vol. 59(13), pages 3996-4016, July.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:13:p:3996-4016
    DOI: 10.1080/00207543.2020.1756511
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    Cited by:

    1. Zhang, Tian & Homri, Lazhar & Dantan, Jean-Yves & Siadat, Ali, 2023. "Models for reliability assessment of reconfigurable manufacturing system regarding configuration orders," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai, 2023. "MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts," International Journal of Production Economics, Elsevier, vol. 262(C).

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