Élaboration d’une nouvelle stratégie du remanufacturing des équipements avec intégration des contraintes de maintenance et de production

Content Provider	Semantic Scholar
Author	Bensmain, Yassir
Copyright Year	2019
Abstract	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.Thes thesis aimed at investigating the interdependence between the operating conditions, the maintenance activities, and the remanufacturing decisions in production equipment sector when new and remanufactured spare parts are used in the remanufacturing process. In this context, we propose an integrated planning approach to jointly optimize the production plan, the remanufacturing plan and the quality of spare parts used in each remanufacturing action. In order to reduce the modelling and solving complexity of the optimization problem presented in this thesis, we decompose the main problem into several consecutive problems. At each step, we adopt a non-linear mathematical modelling to formulate the different optimization problems. To solve these problems, a constructive Fix-and-Relax heuristic and a hybrid genetic algorithm are proposed. Numerical experiments and sensitivity analysis are presented to illustrate the applicability of the proposed approach.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://dspace.univ-tlemcen.dz/bitstream/112/14844/1/Doct.ELN.Bensmain.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article