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

Małgorzata Jasiulewicz-Kaczmarek, Katarzyna Antosz, Ryszard Wyczółkowski, Dariusz Mazurkiewicz, Bo Sun, Cheng Qian and Yi Ren
Additional contact information
Małgorzata Jasiulewicz-Kaczmarek: Faculty of Management Engineering, Poznan University of Technology, ul. Prof. Rychlewskiego 2, 60-965 Poznan, Poland
Katarzyna Antosz: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstańców Warszawy 8, 35-959 Rzeszow, Poland
Ryszard Wyczółkowski: Faculty of Organization and Management, Silesian University of Technology, 26th Roosevelta Str, 41-800 Zabrze, Poland
Dariusz Mazurkiewicz: Mechanical Engineering Faculty, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
Bo Sun: School of Reliability and Systems Engineering, Beihang University, No.37 XueYuan RD, Haidian, Beijing 100191, China
Cheng Qian: School of Reliability and Systems Engineering, Beihang University, No.37 XueYuan RD, Haidian, Beijing 100191, China
Yi Ren: School of Reliability and Systems Engineering, Beihang University, No.37 XueYuan RD, Haidian, Beijing 100191, China

Energies, 2021, vol. 14, issue 5, 1-30

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.

Keywords: sustainable maintenance; maintenance factors; maintenance hybrid analysis; MICMAC analysis; fuzzy AHP; fuzzy TOPSIS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/5/1436/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/5/1436/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:5:p:1436-:d:511581

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().