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Optimal Preventive Maintenance Policy for Equipment Rented under Free Leasing as a Contributor to Sustainable Development

Author

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  • Lazhar Tlili

    (National School of Advanced Sciences and Technologies of Borj Cedria, University of Carthage, Borj Cedria 2084, Tunisia
    Laboratoire de Recherche en Robotique Intelligente, Laboratory: LR20ES02 RIFTSI, Fiabilité et Traitement de Signal et d’Images, University of Tunis, Montfleury, Tunis 1008, Tunisia)

  • Anis Chelbi

    (Ecole Nationale Supérieure d’Ingénieurs de Tunis (ENSIT), Laboratory: LR20ES02 RIFTSI, University of Tunis, Montfleury, Tunis 1008, Tunisia
    Mediterranean School of Business, South Mediterranean University, Lac 2, Tunis 1053, Tunisia)

  • Rim Gharyani

    (Ecole Nationale Supérieure d’Ingénieurs de Tunis (ENSIT), Laboratory: LR20ES02 RIFTSI, University of Tunis, Montfleury, Tunis 1008, Tunisia)

  • Wajdi Trabelsi

    (Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM), ICN Business School, 57073 Metz, France)

Abstract

Leasing has proven to be a business model that is perfectly suited to the circular economy. It significantly contributes to sustainable development by enabling the reuse of machinery and equipment after each lease period and by including preventive maintenance and overhauls within and between lease terms. This helps to extend the life cycle of equipment, promote value recovery, and reduce waste. This paper examines an imperfect preventive maintenance (PM) strategy applied to equipment rented under the terms of “free leasing”. In free leasing, the lessor makes the equipment available to the customer for a specified period of time without charging rent. In return, the customer is required to purchase the equipment’s consumables exclusively from the lessor. The lessor is also responsible for the maintenance of the equipment at the customer’s premises. The greater the quantity of consumables used by the customer, the more the equipment will deteriorate. Consequently, the lessor must be able to determine the most effective approach to preventive maintenance, ensuring that it aligns with the customer’s planned usage rate while maximizing profit. This work proposes a PM strategy to be adopted by the lessor during the free lease period. This strategy involves the performance of imperfect PM actions just before the start of the lease period and then periodically. Different packages of preventive actions can be applied each time, with each package having a different cost depending on the level of effectiveness in terms of rejuvenating the equipment. Minimal repairs are performed in the event of equipment failure. The decision variables are the PM period to be adopted and the maintenance efficiency level to be chosen for each preventive intervention. The objective is to determine, for a given customer with an estimated consumption rate profile of consumables, the optimal values of these decision variables so that the lessor maximizes their profit. A mathematical model is developed to express the lessor’s average profit over each lease period. A solution procedure is developed for small instances of the problem, and an Artificial Bee Colony algorithm is implemented for larger instances. A numerical example and a sensitivity analysis are presented.

Suggested Citation

  • Lazhar Tlili & Anis Chelbi & Rim Gharyani & Wajdi Trabelsi, 2024. "Optimal Preventive Maintenance Policy for Equipment Rented under Free Leasing as a Contributor to Sustainable Development," Sustainability, MDPI, vol. 16(9), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3860-:d:1388697
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    References listed on IDEAS

    as
    1. Huang, Yeu-Shiang & Ho, Jyh-Wen & Hung, Jin-Wei & Tseng, Tzu-Liang (Bill), 2021. "A customized warranty model by considering multi-usage levels for the leasing industry," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Ben Mabrouk, A. & Chelbi, A. & Radhoui, M., 2016. "Optimal imperfect maintenance strategy for leased equipment," International Journal of Production Economics, Elsevier, vol. 178(C), pages 57-64.
    3. Baozhen Yao & Qianqian Yan & Mengjie Zhang & Yunong Yang, 2017. "Improved artificial bee colony algorithm for vehicle routing problem with time windows," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-18, September.
    4. A. Ben Mabrouk & A. Chelbi & M. Radhoui, 2016. "Optimal imperfect preventive maintenance policy for equipment leased during successive periods," International Journal of Production Research, Taylor & Francis Journals, vol. 54(17), pages 5095-5110, September.
    5. Su, Chun & Wang, Xiaolin, 2016. "A two-stage preventive maintenance optimization model incorporating two-dimensional extended warranty," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 169-178.
    6. Holmbom, Martin & Segerstedt, Anders, 2014. "Economic Order Quantities in production: From Harris to Economic Lot Scheduling Problems," International Journal of Production Economics, Elsevier, vol. 155(C), pages 82-90.
    7. Pongpech, J. & Murthy, D.N.P., 2006. "Optimal periodic preventive maintenance policy for leased equipment," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 772-777.
    8. Liu, Yanping & Liu, Biyu & Yang, Haidong, 2024. "Optimal pricing and financing strategies for leased equipment considering maintenance and lessees’ options," International Journal of Production Economics, Elsevier, vol. 269(C).
    9. Mahmood Shafiee & Stefanka Chukova & Won Yun & Seyed Niaki, 2011. "On the investment in a reliability improvement program for warranted second-hand items," IISE Transactions, Taylor & Francis Journals, vol. 43(7), pages 525-534.
    10. Chukova, S. & Arnold, R. & Wang, Dong Q., 2004. "Warranty analysis: An approach to modeling imperfect repairs," International Journal of Production Economics, Elsevier, vol. 89(1), pages 57-68, May.
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