Gunjan Yadav
Dr. TusharN. Desai
Abstract
The concept of integrated Lean Six Sigma (LSS) evolved into the leading persistent melioration technique during late 90s and got employed by firms in varied industrial sectors. Initiating from manufacturing to Information Technology and various other service sectors, LSS maximizes organizational output and helps the decision makers at every step regarding quality improvement within the system. LSS is an integrated methodology that revolves around enhancing quality, productivity and diluting manufacturing cost in any organization. For better adoption of any quality improvement initiative, the identification and structuring of enablers play a vital role. The most significant enablers for LSS implementation in manufacturing organizations are identified and short listed through literature review and opinions from industrial experts. For hierarchical structuring of enablers, Interpretive Structural Modelling (ISM) is used as it describes the relationship among the identified enablers and later the Fuzzy MICMAC approach is used to identify keys factors that are particularly responsible for behaving as drivers and depending enablers. Present study is an attempt to explore 13 key enablers of LSS and built up a structured merged model for manufacturing environment using hybrid ISM and fuzzy MICMAC approach, that proves to be beneficial for both academicians and practitioners to recognize and describe most critical Lean Six Sigma enablers (LSSEs). This is the first kind of study which determines most significant LSSEs for specifically manufacturing environment and further uses hybrid ISM and fuzzy MICMAC approach exploring and classifying the key LSSEs that dominate the successful implementation of LSS in manufacturing organizations.
Keywords- Lean manufacturing, Six Sigma, Lean six sigma, Interpretive structural modelling, Fuzzy MICMAC