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Modeling and Optimization with Industrial Considerations and Risk Assessment of Sustainable Systems and Services

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 17 May 2024 | Viewed by 479

Special Issue Editors

LGIPM laboratory, University of Lorraine, 57073 Metz, France
Interests: reliability; maintenance management ; supply chain management; logistic; production; risk assessment; IA; optimization methods
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
LGIPM laboratory, University of Lorraine, 57073 Metz, France
Interests: reliability; maintenance management; supply chain management; risk assessment; optimization methods
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
LGIPM laboratory, University of Lorraine, 57073 Metz, France
Interests: reliability; maintenance management; supply chain management; discrete event system; air traffic management; risk assessment; optimization methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Usually, the stiff competition between companies has encouraged many of them to review their service strategies, especially in terms of production, logistics and maintenance, taking into account several operational constraints.  In fact, reducing several costs and maximizing the customer satisfaction represent the key to improving industry state success. As a result, company stakeholders are working hard to propose and establish new sustainable strategies for managing operations, delivering goods and services, and managing risks to ensure the sustainability and resilience of a company's operations.

Taking operational risks into account, we can anticipate and predict breakdowns and production interruptions, minimize maintenance and logistics costs, optimize inventory levels, and improve the quality of manufactured products. This holistic approach also increases supply chain flexibility and ensures business continuity in the face of unforeseen events such as natural disasters, strikes, or supply chain disruptions. Finally, by integrating risk management into the planning and coordination of maintenance, production logistics, and supply chains, we can aim to improve decision-making in the event of a crisis, reducing economic losses and/or maximizing profit in order to perfect the company's reputation. In short, integrated operations and risk management can help companies improve their operational performance, competitiveness, and resilience if necessary.

That said, few published works in the literature deal with the optimal decisions and risk assessment within sustainable systems and services. Therefore, to bridge this gap in the literature, the proposed thematic issue aims to contribute to the existing literature by investigating new improved sustainable strategies and optimal decisions of sustainable systems and services.

The present Special Issue will highlight issues and new challenges that the imminent use of a large number of sustainable systems and services will bring. This session will encourage dialogue between managers, researchers, and users on issues of modeling and optimization with industrial considerations and risk assessment of sustainable systems and services.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Logistic and production systems;
  • Reliability, maintenance; and spare parts management;
  • Medical equipment maintenance;
  • Resources and budget allocation;
  • Prognostics and health management;
  • Supply chain management;
  • Services;
  • Sustainable systems;
  • Artificial intelligence/machine learning applications;
  • etc.

I/We look forward to receiving your contributions. 

Dr. Zied Hajej
Dr. Sofiene Dellagi
Dr. Med Ali Kammoun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • reliability
  • maintenance management
  • supply chain management
  • discrete event system
  • risk assessment
  • logistic
  • production
  • optimization methods

Published Papers (1 paper)

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Research

24 pages, 1635 KiB  
Article
Optimal Preventive Maintenance Policy for Equipment Rented under Free Leasing as a Contributor to Sustainable Development
by Lazhar Tlili, Anis Chelbi, Rim Gharyani and Wajdi Trabelsi
Sustainability 2024, 16(9), 3860; https://doi.org/10.3390/su16093860 (registering DOI) - 05 May 2024
Viewed by 118
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 [...] Read more.
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. Full article
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