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Appl. Sci. 2018, 8(7), 1088; https://doi.org/10.3390/app8071088

Comparative Analysis of Heuristic Algorithms Used for Solving a Production and Maintenance Planning Problem (PMPP)

1
Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM), Lorraine University, UFR MIM, 3 rue Augustin Fresnel, 57073 Metz, France
2
IMT Atlantique, LS2N, UMR-CNRS 6004, La Chantrerie, 4 rue Alfred Kastler—B.P. 20722, 44307 Nantes, France
*
Author to whom correspondence should be addressed.
Received: 18 May 2018 / Revised: 29 June 2018 / Accepted: 29 June 2018 / Published: 5 July 2018
(This article belongs to the Section Computer Science and Electrical Engineering)
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Abstract

In this work, we develop methods to assess the risk of profit–loss resulting from the choice of a computational method for solving a joint production and maintenance-planning problem. In fact, the optimal objective function is calculated via the use of algorithms and optimization methods. The use of these methods can have an impact on an event that can disrupt the optimal production and maintenance plan. To achieve our goals, we start with calculating the manufacturing system’s joint production and maintenance plans over a finite horizon using different methods. In the second part of the work, we propose analytical models to quantify the risk of profit–loss resulting from product returns and the integration of an imperfect maintenance policy. Numerical examples are conducted by adopting the different algorithms used. This study provides insights into the most efficient computational methods for the encountered problems. This research proposes new approaches to help and guide managers in the analysis and evaluation of their decisions. View Full-Text
Keywords: Lost profit–risk assessment; stochastic optimization; production system; preventive maintenance; product returns Lost profit–risk assessment; stochastic optimization; production system; preventive maintenance; product returns
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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MDPI and ACS Style

Guiras, Z.; Hajej, Z.; Rezg, N.; Dolgui, A. Comparative Analysis of Heuristic Algorithms Used for Solving a Production and Maintenance Planning Problem (PMPP). Appl. Sci. 2018, 8, 1088.

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