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Selection of optimal assembly strategy at an engine assembly plant using fuzzy multi-criteria decision-making tools

Author

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  • L.N. Pattanaik
  • Abinash Jena

Abstract

This paper is presenting a methodology to select an optimal assembly strategy using two fuzzy multi-criteria decision making (MCDM) tools as illustrated in a case study of an engine assembly plant. Based on an automotive engine assembly system, the existing challenges and related criteria are identified. Four potential assembly strategies compatible with existing system are developed to address the challenges. Two different fuzzy MCDM tools (VIKOR and TOPSIS) are applied for the multi-criteria problem to select the optimal assembly strategy. Four decision makers (DMs) from middle-level management are involved during the process. A comparison of results from the two MCDM tools is performed to consolidate the decision. For the present case, reconfigurable assembly system (RAS) is found to be the most preferred assembly strategy by both the MCDM tools. The ranking for rest of the alternatives are also found.

Suggested Citation

  • L.N. Pattanaik & Abinash Jena, 2020. "Selection of optimal assembly strategy at an engine assembly plant using fuzzy multi-criteria decision-making tools," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 36(2), pages 281-299.
    • Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:281-299
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