Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing

Abstract

This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. The work methodology comprises four stages. At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. Then, in the second stage, the matrix of crossed impact multiplications applied to a classification (MICMAC) was carried out to categorize these factors based on their influence and dependence values. In the third stage, the criteria for evaluation of maintenance factors were defined, then the fuzzy analytic hierarchy process (F-AHP) was applied to determine their relative weights. In the last stage, the results of MICMAC and F-AHP analyses were used as inputs for the fuzzy technique for order preference by similarity to ideal solution (F-TOPIS) to generate aggregate scores and selection of the most important maintenance factors that have an impact on sustainable manufacturing processes. A numerical example is provided to demonstrate the applicability of the approach. It was observed that factors “Implementation of preventive and prognostic service strategies”, “The usage of M&O data collection and processing systems”, and “Modernization of machines and devices” are the major factors that support the realization of sustainable manufacturing process challenges.

Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities

“…In this regard, the combination of ISM-MICMAC with DEMATEL (e.g., Mishra, 2020;Yadav et al, 2020) to present a casual model is the most popular one. Moreover, using an analytical hierarchical process (AHP) (e.g., or Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) (e.g., Jasiulewicz-Kaczmarek et al, 2021) besides the ISM-MICMAC to evaluate the importance of the identified criteria and factors have been designed by other scholars recently. Thirdly, many scholars have employed Structural Equation modelling (SEM) to validate the conceptual model emanated from the ISM-MICMAC approach (e.g., Khaba et al, 2020;Ullah & Narain, 2020).…”

Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

“…Numerous studies have adopted different multi-criteria decision-making methods such as fuzzy AHP, fuzzy TOPSIS, fuzzy VIKOR, etc., in solving different uncertain problems. Kaczmarek et al [43] used MICMAC, fuzzy AHP, and TOPSIS methods to select the most critical factors affecting sustainable manufacturing. Prakash et al [13] applied the fuzzy AHP method to prioritize the barriers in reverse logistics implementation in the Indian electronics industry.…”

A Product Shape Design and Evaluation Model Based on Morphology Preference and Macroscopic Shape Information

“…The fuzzy analytic hierarchy process (FAHP) combines fuzzy theory and analytical hierarchy process (AHP) and is good at dealing with fuzzy decision problems [ 32 , 33 , 34 ]. Saaty [ 35 ] proposed AHP in 1980 to deal with decision-making problems with multiple criteria in uncertain environments.…”