The purpose of this paper is to present a study that is focused on application of fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS) approaches for leanness evaluation in an Indian small- and medium-size enterprise (SME).
Lean manufacturing concepts are being adopted by SMEs to sustain in the competitive manufacturing landscape. Performance of lean system needs to be assessed using appropriate methods. A model for measuring lean performance is proposed with five enablers, 30 criteria and 90 attributes. Leanness index is computed using fuzzy logic approach and benchmarked with ANFIS approach.
Leanness index computed using fuzzy logic approach is found to be (4.47, 5.97, 7.55) and that of ANFIS approach is found to be 5.84 to facilitate benchmarking of leanness evaluation. After finding weaker areas, certain improvement initiatives are being deployed.
The developed model for leanness evaluation has been test implemented in an SME. In future, the model could be test implemented in several SMEs.
A case study conducted in an SME involved in heavy engineering fabrication is presented. Therefore, the inferences derived from the study has practical propensity.
The development of leanness evaluation model for SMEs and deployment in an industrial scenario are the original contributions of the authors.
Agrawal, R., Asokan, P. and Vinodh, S. (2017), "Benchmarking fuzzy logic and ANFIS approaches for leanness evaluation in an Indian SME: A case study", Benchmarking: An International Journal, Vol. 24 No. 4, pp. 973-993. https://doi.org/10.1108/BIJ-06-2016-0083
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