Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/15533
Title: MODELING AND ANALYSIS OF LEAN MANUFACTURING STRATEGIES USING ISM-FUZZY MICMAC APPROACH
Authors: KUMAR, DEEPAK
Keywords: LEAN MANUFACTURING SYSTEM
LEAN STRATEGIES
FACTOR ANALYSIS
ISM METHODOLOGY
FUZZY MICMAC
Issue Date: Jul-2016
Series/Report no.: TD NO.2685;
Abstract: In this competitive market, working with great efficiency is the major concern for the organization. Lean manufacturing is a Japanese philosophy, which aims at continuous improvement by elimination of waste created through unevenness in workloads and overburden. This research work shows that how lean manufacturing strategies can help the organization to enhance the efficiency of the organization with great effectiveness. In this study, thirty six lean strategies have been identified and out of which thirteen lean strategies were extracted by factor analysis using software SPSS 21. Interpretive Structural Modeling (ISM) is a well-established methodology for identifying relationships among specific items, which define a problem or an issue. Interrelationship among various strategies related to lean manufacturing could be established and represented effectively using ISM. Matriced’ Impacts croises-multipication applique’ and classment (MICMAC) is a modern approach based on the properties of matrix multiplication. To make the convectional MICMAC analysis more robust, fuzzy set theory has been introduced. Fuzzy MICMAC helps to understand the dependence and driving power of the lean strategies. ISM model has been taken as initial start for analysis in fuzzy MICMAC. The present research deals with identification of different lean strategies and extraction of relevant strategies after discussion with experts. The extracted strategies have been visualized using ISM model and finally the relationship of each strategy with each of the other strategies is derived using the Fuzzy MICMAC analysis.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/15533
Appears in Collections:M.E./M.Tech. Mechanical Engineering

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