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Lean concept selection using modified fuzzy TOPSIS: a case study

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  • S. Vinodh
  • Arjun Thiagarajan
  • Govind Mulanjur

Abstract

Lean manufacturing enables manufacturing organisations to achieve streamlined processes thereby facilitating waste elimination. The concept selection in the context of lean systems involves several criteria and it becomes a multi-criteria decision making (MCDM) problem. The case study was carried out in an Indian valves manufacturing organisation. Fuzzy TOPSIS has been used for selecting the best lean concept. Based on the values of the closeness index, it has been inferred that the concept A3 (value stream mapping) is the optimal choice. Efforts have been taken to implement VSM in one of the assembly lines of the case organisation. Further the concepts 5S, TPM, Kanban and Kaizen are also being implemented in the organisation based on the ranking generated by fuzzy TOPSIS.

Suggested Citation

  • S. Vinodh & Arjun Thiagarajan & Govind Mulanjur, 2014. "Lean concept selection using modified fuzzy TOPSIS: a case study," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 18(3), pages 342-357.
    • Handle: RePEc:ids:ijsoma:v:18:y:2014:i:3:p:342-357
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    Cited by:

    1. Shuwei Jing & Zhanwen Niu & Pei-Chann Chang, 2019. "The application of VIKOR for the tool selection in lean management," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2901-2912, December.

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