Remanufacturing an equipment before the end of its life may generate substantial profits for both the user and the remanufacturer. However, the equipment operating conditions as well as the quality of maintenance actions undergone throughout the life of equipment largely affect the total life cycle costs from the user’s perspective, and the quality of the recovered equipment from the remanufacturer’s perspective. This research aims at investigating the remanufacturing opportunities of production equipment from the user’s perspective, used to produce a single product in order to meet deterministic and dynamic demands over a finite horizon. Preventive maintenance actions on equipment are assumed to be imperfect. Indeed, when performed, these actions can improve the equipment to reach a state between the “As-good-as-new” level and the “As-bad-as-old” level. It is assumed that the stakeholders (the equipment’s user and the original equipment manufacturer-remanufacturer) are interested by all remanufacturing opportunities. The objective of the present work is to develop an integrated approach to jointly optimize the production plan, the remanufacturing plan and the quality of spare parts used in each remanufacturing action.

In order to minimize the total cost during the production horizon, a mixed-integer nonlinear program is developed. The optimization problem is solved using a hybrid genetic algorithm based on a fix-and-relax heuristic. A numerical experiment and a sensitivity analysis are presented to illustrate the applicability of the proposed approach.