Lean Six Sigma implementation: modelling the interaction among the enablers

Abstract

Lean Six Sigma (LSS) methodology has been acquiring a prominent position in organisations. The aim of this study is to demonstrate an approach to LSS implementation in organisations using the development of a hypothetical model based on interpretive structural modelling (ISM) and fuzzy Matriced Impacts Croisés Multiplication Appliquée á un Classement (fuzzy MICMAC) analysis phenomenon. Seventy Lean Six Sigma enablers (LSSEs) have been identified through extensive literature review and out of which 40 most important LSSEs were finalised through opinions of experts both from industry and academia. Furthermore, the valuable expert opinions have been applied to determine contextual relationships between these significant LSSEs and a hierarchical model has been created based on an ISM. The fuzzy MICMAC analysis has also been utilised to classify the enablers based on the dependence and driving power, and validate the created ISM-based model. The developed hierarchical model will assist to understand interrelationships and interdependencies among the identified LSSEs. Having high driving and low dependence power, the LSSEs have strategic significance because of their driving character. On the other hand, having high dependence and low driving power, LSSEs are more performance orientated. The mutual influence, driving and dependence power of LSSEs render valuable information to top management to distinguish between independent and dependent LSSEs. An organisation desiring of adopting LSS may get benefited by the understanding of LSSEs and their interactions.