IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i5p1436-d511581.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1436-:d:511581
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/5/1436/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/5/1436/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kiki Ayu & Akilu Yunusa-Kaltungo, 2020. "A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems," Energies, MDPI, vol. 13(8), pages 1-32, April.
    2. Balali, Amirhossein & Valipour, Alireza & Edwards, Rodger & Moehler, Robert, 2021. "Ranking effective risks on human resources threats in natural gas supply projects using ANP-COPRAS method: Case study of Shiraz," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Zhu, Sha & Jaarsveld, Willem van & Dekker, Rommert, 2020. "Spare parts inventory control based on maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    4. Duran, Orlando & Afonso, Paulo Sérgio Lima Pereira, 2020. "An activity based costing decision model for life cycle economic assessment in spare parts logistic management," International Journal of Production Economics, Elsevier, vol. 222(C).
    5. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 184-198.
    6. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    7. Bouslah, Bassem & Gharbi, Ali & Pellerin, Robert, 2018. "Joint production, quality and maintenance control of a two-machine line subject to operation-dependent and quality-dependent failures," International Journal of Production Economics, Elsevier, vol. 195(C), pages 210-226.
    8. Iwona Paprocka, 2019. "The model of maintenance planning and production scheduling for maximising robustness," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4480-4501, July.
    9. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    10. Juhong Chen & Ruijun Zhang & Di Wu, 2018. "Equipment Maintenance Business Model Innovation for Sustainable Competitive Advantage in the Digitalization Context: Connotation, Types, and Measuring," Sustainability, MDPI, vol. 10(11), pages 1-20, October.
    11. K. Madan Shankar & P. Udhaya Kumar & Devika Kannan, 2016. "Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach," Sustainability, MDPI, vol. 8(8), pages 1-10, August.
    12. Maria Holgado & Marco Macchi & Stephen Evans, 2020. "Exploring the impacts and contributions of maintenance function for sustainable manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7292-7310, December.
    13. Noroozi, Alireza & Khakzad, Nima & Khan, Faisal & MacKinnon, Scott & Abbassi, Rouzbeh, 2013. "The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 251-258.
    14. Boram Choi & Jong Hwan Suh, 2020. "Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    15. Nadia Ndhaief & Rezg Nidhal & Adnène Hajji & Olivier Bistorin, 2020. "Environmental issue in an integrated production and maintenance control of unreliable manufacturing/remanufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4182-4200, July.
    16. Carla Gonçalves Machado & Mats Peter Winroth & Elias Hans Dener Ribeiro da Silva, 2020. "Sustainable manufacturing in Industry 4.0: an emerging research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1462-1484, March.
    17. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    18. Zhang, Min & Guo, Hangfei & Huo, Baofeng & Zhao, Xiande & Huang, Jianbo, 2019. "Linking supply chain quality integration with mass customization and product modularity," International Journal of Production Economics, Elsevier, vol. 207(C), pages 227-235.
    19. Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    20. Deloux, E. & Castanier, B. & Bérenguer, C., 2009. "Predictive maintenance policy for a gradually deteriorating system subject to stress," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 418-431.
    21. Lilian. O. Iheukwumere-Esotu & Akilu Yunusa Kaltungo, 2020. "Assessment of Barriers to Knowledge and Experience Transfer in Major Maintenance Activities," Energies, MDPI, vol. 13(7), pages 1-24, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joanna Sadłowska-Wrzesińska & Kamila Piosik & Żaneta Nejman, 2022. "Psychosocial Context of OSH-Remote Work of Academic Teachers in the Perspective of Sustainable Development," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    2. Fan Wu & Peng Lu & Yang-Cheng Lin, 2022. "Research on the Influence of Wheelsets on the Visual Imagery of City Bicycles," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    3. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    4. Przemysław Drożyner & Stanisław Młynarski, 2022. "The Theory of Exploitation as a Support for Management Accounting in an Enterprise," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    5. Muhammad Hamza Naseem & Jiaqi Yang & Ziquan Xiang, 2021. "Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    6. Grzegorz Kłosowski & Anna Hoła & Tomasz Rymarczyk & Łukasz Skowron & Tomasz Wołowiec & Marcin Kowalski, 2021. "The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography," Energies, MDPI, vol. 14(22), pages 1-20, November.
    7. Tomasz Rymarczyk & Grzegorz Kłosowski & Anna Hoła & Jan Sikora & Tomasz Wołowiec & Paweł Tchórzewski & Stanisław Skowron, 2021. "Comparison of Machine Learning Methods in Electrical Tomography for Detecting Moisture in Building Walls," Energies, MDPI, vol. 14(10), pages 1-22, May.
    8. Chuloh Jung & Jihad Awad, 2023. "Sharjah Sustainable City: An Analytic Hierarchy Process Approach to Urban Planning Priorities," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    9. Serena Ilari & Fabio Di Carlo & Filippo Emanuele Ciarapica & Maurizio Bevilacqua, 2021. "Machine Tool Transition from Industry 3.0 to 4.0: A Comparison between Old Machine Retrofitting and the Purchase of New Machines from a Triple Bottom Line Perspective," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    10. Jafari-Sadeghi, Vahid & Amoozad Mahdiraji, Hannan & Bresciani, Stefano & Pellicelli, Anna Claudia, 2021. "Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities," Journal of Business Research, Elsevier, vol. 134(C), pages 352-364.
    11. Tomasz Dziabas & Mariusz Deja & Aleksandra Wiśniewska, 2022. "A Strategy for Managing the Operation of Technical Infrastructure Based on the Analysis of “Bad Actors”—A Case Study of LOTOS Group S.A," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    12. Grzegorz Kłosowski & Anna Hoła & Tomasz Rymarczyk & Mariusz Mazurek & Konrad Niderla & Magdalena Rzemieniak, 2023. "Using Machine Learning in Electrical Tomography for Building Energy Efficiency through Moisture Detection," Energies, MDPI, vol. 16(4), pages 1-31, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    2. Maria Iglesias-Mendoza & Akilu Yunusa-Kaltungo & Sara Hadleigh-Dunn & Ashraf Labib, 2021. "Learning How to Learn from Disasters through a Comparative Dichotomy Analysis: Grenfell Tower and Hurricane Katrina Case Studies," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    3. Dania K. Abideen & Akilu Yunusa-Kaltungo & Patrick Manu & Clara Cheung, 2022. "A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance," Sustainability, MDPI, vol. 14(14), pages 1-55, July.
    4. Azimpoor, Samareh & Taghipour, Sharareh, 2021. "Joint inspection and product quality optimization for a system with delayed failure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio & Wu, Shaomin, 2023. "Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    6. Lilian Ogechi Iheukwumere-Esotu & Akilu Yunusa-Kaltungo, 2022. "Development of an Interactive Web-Based Knowledge Management Platform for Major Maintenance Activities: Case Study of Cement Manufacturing System," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    7. Kazancoglu, Yigit & Sezer, Muruvvet Deniz & Ozkan-Ozen, Yesim Deniz & Mangla, Sachin Kumar & Kumar, Ajay, 2021. "Industry 4.0 impacts on responsible environmental and societal management in the family business," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    9. Fakhradin Ghasemi & Mohammad Babamiri & Zahra Pashootan, 2022. "A comprehensive method for the quantification of medication error probability based on fuzzy SLIM," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-17, February.
    10. Leoni, Leonardo & De Carlo, Filippo & Tucci, Mario, 2023. "Developing a framework for generating production-dependent failure rate through discrete-event simulation," International Journal of Production Economics, Elsevier, vol. 266(C).
    11. Amir Hossein Azadnia & Simon Stephens & Pezhman Ghadimi & George Onofrei, 2022. "A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2437-2455, July.
    12. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    13. Giovanni Rinaldi & Philipp R. Thies & Lars Johanning, 2021. "Current Status and Future Trends in the Operation and Maintenance of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 14(9), pages 1-28, April.
    14. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    15. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    16. Hazem Ali & Ting Chen & Yunhong Hao, 2021. "Sustainable Manufacturing Practices, Competitive Capabilities, and Sustainable Performance: Moderating Role of Environmental Regulations," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    17. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    18. Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    19. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    20. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1436-:d:511581. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.