Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach
| Autor: | Mohammed Dahane, Mohammed Bennekrouf, Yassir Bensmain, Zaki Sari |
|---|---|
| Přispěvatelé: | Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM), Université de Lorraine (UL) |
| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies Operations research Total cost Computer science Heuristic (computer science) 020209 energy media_common.quotation_subject 0211 other engineering and technologies 02 engineering and technology Preventive maintenance Industrial and Manufacturing Engineering [SPI]Engineering Sciences [physics] Production planning Spare part Maintenance actions 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Quality (business) Safety Risk Reliability and Quality Remanufacturing ComputingMilieux_MISCELLANEOUS media_common |
| Zdroj: | Reliability Engineering and System Safety Reliability Engineering and System Safety, Elsevier, 2019, 185, pp.546-566. ⟨10.1016/j.ress.2018.09.001⟩ |
| ISSN: | 0951-8320 1879-0836 |
| DOI: | 10.1016/j.ress.2018.09.001 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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