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A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS

Author

Listed:
  • Sanjay Kumar
  • Bhim Singh
  • Mohammed Asim Qadri
  • Y.V. Satya Kumar
  • Abid Haleem

Abstract

Adoption of lean practices is considered a vital strategic tool for firms to thrive in today's competitive times. Comparative evaluation of leanness of the companies has assumed crucial importance in the wake of increasing globalisation and phenomenal advancement in technology. Evaluation of policies and practices on an ongoing basis helps organisations identify the potential opportunities for improvement. Only limited efforts devoted to assessing the relative lean status of firms have been made so far and there is an express need to articulate a framework for measurement of lean adaptation. Here, a systematic fuzzy multi-criteria decision making (MCDM) evaluation model based on technique for order preference by similarity to ideal solution (TOPSIS) is proposed for relative lean ranking of firms. Fuzzy set theory concepts are used to deal with problems of vagueness, uncertainties, inexactness of data and the subjectivity associated with human judgment. An illustrative numerical example is included to elucidate the computational process. Sensitivity analysis is also carried out to demonstrate the robustness and efficacy of the adapted methodology.

Suggested Citation

  • Sanjay Kumar & Bhim Singh & Mohammed Asim Qadri & Y.V. Satya Kumar & Abid Haleem, 2013. "A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 11(4), pages 371-392.
    • Handle: RePEc:ids:ijpqma:v:11:y:2013:i:4:p:371-392
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    Citations

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    Cited by:

    1. Tan Ching Ng & Morteza Ghobakhloo, 2018. "What Determines Lean Manufacturing Implementation? A CB-SEM Model," Economies, MDPI, vol. 6(1), pages 1-11, February.
    2. Luthra, Sunil & Govindan, Kannan & Kharb, Ravinder K. & Mangla, Sachin Kumar, 2016. "Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 379-397.

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