Modeling and Analysis of Lean Manufacturing Strategies Using ISM-Fuzzy MICMAC Approach
| Autor: | Ravinderjit Singh Walia, Dilbagh Panchal, Mohit Tyagi, Deepak Kumar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Identification (information)
Process management Software lcsh:T55.4-60.8 Computer science business.industry Lean Manufacturing System (LMS) Lean Strategies Factor Analysis SPSS 21 ISM Methodology Fuzzy MICMAC lcsh:Industrial engineering. Management engineering Management Science and Operations Research business Engineering (miscellaneous) Lean manufacturing Fuzzy logic |
| Zdroj: | Operational Research in Engineering Sciences: Theory and Applications, Vol 4, Iss 1 (2021) |
| ISSN: | 2620-1747 2620-1607 |
| Popis: | The current research work deals with an identification of different lean strategies and extraction to relevant strategies after discussion with experts and gives the answer of a question “how lean manufacturing strategies can help the organization to enhance the efficiency of the organization with great effectiveness?” In this research work, thirty-six lean strategies have been identified and out of which thirteen lean strategies were filtered in respect of highly importance value by factor analysis using software SPSS 21. Further, to identify and analyze the inter-relationship among filtered strategies, an Interpretive Structural Modeling (ISM) with Fuzzy Matriced’ Impacts Croise´s Multiplication Applique´e a UN Classement (MICMAC) approach has been used. Fuzzy MICMAC help to understand the dependence and driver’s power of the lean strategies. The mutual importance of extracted strategies has been discussed through developing the ISM model and the individual assessment of each strategy with each of the other strategies has been derived using the Fuzzy MICMAC approach. |
| Databáze: | OpenAIRE |
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