‎Proposing a Conceptual Model of Critical Success Factors in Lean Production Using Interpretive Structural Modeling and Fuzzy MICMAC Analysis

Subject Areas : Transactions on Fuzzy Sets and Systems

Mazdak  Khodadadi Karimvand ¹ (Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.)
Hadi  Shirouyehzad ² (Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran. )
Farhad  Hosseinzadeh Lotfi ³ (Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.)

Received: 2023-10-17 Accepted : 2023-12-19 Published : 2024-05-07

Keywords: Critical success factors‎, ‎Lean production‎, ‎Interpretive structural modeling‎, ‎Fuzzy MICMAC analysis‎.,

Abstract :

Since companies are inclined to implement lean production‎, ‎researchers have proposed a number of fundamental success factors to facilitate the implementation of this production approach‎. ‎This study analyzes the critical success factors (CSFs) in lean production extracted from 14 review studies‎. ‎The interpretive structural modeling approach is utilized to analyze the impact of these critical success factors on one another‎. ‎The aim is to enhance insights into lean production and facilitate informed decision-making‎. ‎In this article‎, ‎a seven-tiered model is presented‎. ‎According to the conceptual model of success factors in lean production‎, ‎leadership is positioned at the base of the model and serves as the origin for other factors‎. ‎It should be regarded as the foremost critical success factor in lean production‎. ‎When establishing lean production systems‎, ‎organizations and senior managers should focus on higher levels and critical success factors that underlie the model‎. ‎Subsequently‎, ‎nonfuzzy and fuzzy driving and dependence power analyses were conducted that the fuzzy matrix cross-reference multiplication applied to a classification (MICMAC) analysis provides deeper insights into the analysis of driving and dependence power‎. ‎The fuzzy matrix cross-reference multiplication applied to a classification analysis helped identify some key factors that are highly effective for successfully implementing lean manufacturing‎.

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