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

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 39 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.