@article {103536,
	title = {Integrated production and maintenance planning in imperfect hybrid manufacturing\&ndash;remanufacturing systems with outsourcing and carbon emissions},
	journal = {International Journal of Production Economics},
	volume = {291},
	year = {2026},
	abstract = {
	This study investigates the integrated planning of production, maintenance, and quality control in a hybrid manufacturing-remanufacturing system, accounting for deterioration, variability in the quality of returned products, carbon emissions, and outsourcing opportunities. The network consists of a manufacturer collaborating with an outsourcing remanufacturing provider. The manufacturer operates a single failure-prone machine to produce new products and to remanufacture returned ones. Recovered products that the manufacturer cannot process are sent to the outsourcing provider for remanufacturing. The system generates harmful emissions, potentially leading to environmental taxes and sanctions. We formulate a mixed-integer nonlinear programming model to determine the optimal integrated manufacturing, remanufacturing, outsourcing, and preventive maintenance plan. Eventually, the proposed strategy minimizes total economic costs and defects and ultimately reduces carbon emissions. We use a global solver for solving small instances, while a genetic algorithm metaheuristic is developed for larger ones. Extensive computational experiments reveal that the developed genetic algorithm is highly efficient, achieving gaps of less than 0.95\% within shorter execution times for small instances and significantly outperforming the solver in larger ones. The results show that the integrated outsourcing strategy, combined with accounting for carbon emissions from both new and remanufactured products, significantly reduces the reliance on new products, leading to notable cost savings and environmental benefits. These savings become more pronounced as the number of returns increases.

},
	url = {https://doi.org/10.1016/j.ijpe.2025.109862},
	author = {Merghem, Mohammed and Haoues, Mohammed and SENOUSSI, Ahmed and Dahane, Mohammed and Mouss, Nadia-Kinza}
}
@conference {7287,
	title = {Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities},
	booktitle = {4th International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Merghem, Mohammed and Haoues, Mohammed and Mouss, Kinza-Nadia and Dahane, Mohammed and SENOUSSI, Ahmed}
}
@proceedings {7288,
	title = {Multi-objective production planning of new and remanufactured products in hybrid production system},
	journal = {10th IFAC Conference Onmanufacturing Modelling, Management And Control 22-24 June},
	year = {2022},
	address = {Nantes, France},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kenza and Haoues, Mohammed}
}
@article {7230,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	journal = {Procedia Computer Science},
	volume = {200},
	year = {2022},
	pages = {1244-1253},
	abstract = {In this study, we investigate a production planning problem in hybrid manufacturing remanufacturing production system. The objective is the determine the best mix between the manufacturing of new products, and the remanufacturing of recovered products, based on economic and environmental considerations. It consists to determine the best manufacturing and remanufacturing plans to minimising the total economic cost (start-up and production costs of new and remanufactured products, storage costs of new and returned products and disposal costs) and the carbon emissions (new products, remanufactured products and disposed products). The hybrid system consists of a set of machines used to produce new products and remanufactured products of different grades (qualities). We assume that remanufacturing is more environmentally efficient, because it allows to reduce the disposal of used products. A multi-objective mathematical model is developed, and a non dominated sorting genetic algorithm (NSGA-II) based approach is proposed. Numerical experience is presented to study the impact of carbon emissions generated by new, remanufactured and disposed products, over a production horizon of several periods.},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050922003349},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@conference {7286,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	booktitle = {3rd International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science 200},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	abstract = {
	In this study, we investigate a production planning problem in hybrid manufacturing remanufacturing production system. The objective is the determine the best mix between the manufacturing of new products, and the remanufacturing of recovered products, based on economic and environmental considerations. It consists to determine the best manufacturing and remanufacturing plans to minimising the total economic cost (start-up and production costs of new and remanufactured products, storage costs of new and returned products and disposal costs) and the carbon emissions (new products, remanufactured products and disposed products). The hybrid system consists of a set of machines used to produce new products and remanufactured products of different grades (qualities). We assume that remanufacturing is more environmentally efficient, because it allows to reduce the disposal of used products. A multi-objective mathematical model is developed, and a non dominated sorting genetic algorithm (NSGA-II) based approach is proposed. Numerical experience is presented to study the impact of carbon emissions generated by new, remanufactured and disposed products, over a production horizon of several periods.




},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050922003349},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@article {62472,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	journal = {Procedia Computer Science},
	volume = {200},
	year = {2022},
	month = {2022},
	pages = {1244-1253},
	abstract = {
	In this study, we investigate a production planning problem in hybrid manufacturing remanufacturing production system. The objective is the determine the best mix between the manufacturing of new products, and the remanufacturing of recovered products, based on economic and environmental considerations. It consists to determine the best manufacturing and remanufacturing plans to minimising the total economic cost (start-up and production costs of new and remanufactured products, storage costs of new and returned products and disposal costs) and the carbon emissions (new products, remanufactured products and disposed products). The hybrid system consists of a set of machines used to produce new products and remanufactured products of different grades (qualities). We assume that remanufacturing is more environmentally efficient, because it allows to reduce the disposal of used products. A multi-objective mathematical model is developed, and a non dominated sorting genetic algorithm (NSGA-II) based approach is proposed. Numerical experience is presented to study the impact of carbon emissions generated by new, remanufactured and disposed products, over a production horizon of several periods.

},
	isbn = {1877-0509},
	url = {https://doi.org/10.1016/j.procs.2022.01.325},
	author = {Lahmar, Houria and Dahane, Mohammed and MOUSS, Nadia Kinza and Haoues, Mohammed}
}
@article {5154,
	title = {Capacity Planning With Outsourcing Opportunities Under Reliability And Maintenance Constraints. Status},
	journal = {International Journal of Industrial and Systems Engineering},
	volume = {37},
	number = {3},
	year = {2021},
	pages = {382-409},
	abstract = {This paper investigates capacity planning with outsourcing under reliability-maintenance constraints. The considered supply-chain consists of a single-manufacturer and multiple-subcontractors. The manufacturer{\textquoteright}s company is composed of a single unit subject to random failures. Corrective maintenance is endorsed when failures occur, and preventive maintenance can be carried out to reduce the degradation. The high in-house costs and the incapacity motivate the manufacturer outsourcing to independent subcontractors. In addition, based on the principle of comparative advantage, the manufacturer balances between in-house capacities and outsourcing services, which minimises the total cost. The aim is to propose a new policy based on the combination between integrated-maintenance and outsourcing policies. A mathematical model and an optimisation procedure have been developed in order to determine the best in-house production-maintenance and outsourcing plans for the manufacturer while minimising the total cost. In order to show the applicability of our approach, we conduct experimentations to study the management insights.},
	url = {https://ideas.repec.org/a/ids/ijisen/v37y2021i3p382-409.html},
	author = {Haoues, Mohamed and Dahane, Mohammed and Mouss, Nadia-Kenza}
}
@article {62618,
	title = {Capacity planning with outsourcing opportunities under reliability and maintenance constraints},
	journal = {International Journal of Industrial and Systems Engineering},
	volume = {37},
	number = {3},
	year = {2021},
	month = {2021},
	pages = {382-409},
	abstract = {
	This paper investigates capacity planning with outsourcing under reliability-maintenance constraints. The considered supply-chain consists of a single-manufacturer and multiple-subcontractors. The manufacturer{\textquoteright}s company is composed of a single unit subject to random failures. Corrective maintenance is endorsed when failures occur, and preventive maintenance can be carried out to reduce the degradation. The high in-house costs and the incapacity motivate the manufacturer outsourcing to independent subcontractors. In addition, based on the principle of comparative advantage, the manufacturer balances between in-house capacities and outsourcing services, which minimises the total cost. The aim is to propose a new policy based on the combination between integrated-maintenance and outsourcing policies. A mathematical model and an optimisation procedure have been developed in order to determine the best in-house production-maintenance and outsourcing plans for the manufacturer while minimising the total cost. In order to show the applicability of our approach, we conduct experimentations to study the management insights.

},
	isbn = {1748-5037},
	url = {https://ideas.repec.org/a/ids/ijisen/v37y2021i3p382-409.html},
	author = {Haoues, Mohammed and Dahane, Mohammed and Mouss, Kinza-Nadia}
}
@article {63076,
	title = {Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach},
	journal = {Annals of Operations ResearchAnnals of Operations Research},
	year = {2020},
	month = {2020},
	pages = {1-32},
	isbn = {1572-9338},
	author = {Brahami, Mustapha Anwar and Dahane, Mohammed and Souier, Mehdi}
}
@proceedings {63537,
	title = {Approche multiobjectif et hybride pour l{\textquoteright}optimisation des d{\'e}cisions de r{\'e}cup{\'e}ration et de remise {\`a} neuf d{\textquoteright}une politique de remanufacturing},
	journal = {ROADEF 2019},
	year = {2019},
	month = {2019},
	author = {Belhocine, Latifa and Dahane, Mohammed and Yagouni, Mohammed}
}
@proceedings {63538,
	title = {Contribution to the optimisation of products recovery and remanufacturing: a multiobjective non-dominated sorting genetic algorithm based hybrid approach},
	journal = {2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)},
	year = {2019},
	month = {2019},
	pages = {134-139},
	publisher = {IEEE},
	isbn = {1-72814-569-4},
	author = {Belhocine, Latifa and Dahane, Mohammed and Yagouni, Mohammed}
}
@article {63410,
	title = {Optimization of single outsourcer{\textendash}single subcontractor outsourcing relationship under reliability and maintenance constraints},
	journal = {Journal of Industrial Engineering InternationalJournal of Industrial Engineering International},
	volume = {15},
	year = {2019},
	month = {2019},
	pages = {395-409},
	isbn = {2251-712X},
	author = {Haoues, Mohammed and Dahane, Mohammed and MOUSS, Nadia Kinza}
}
@article {63409,
	title = {Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints},
	journal = {Journal of Intelligent ManufacturingJournal of Intelligent Manufacturing},
	volume = {30},
	year = {2019},
	month = {2019},
	pages = {701-725},
	isbn = {1572-8145},
	author = {Haoues, Mohammed and Dahane, Mohammed and Mouss, Nadia Kenza}
}
@article {63518,
	title = {Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach},
	journal = {Reliability Engineering \& System SafetyReliability Engineering \& System Safety},
	volume = {185},
	year = {2019},
	month = {2019},
	pages = {546-566},
	isbn = {0951-8320},
	author = {Bensmain, Yassir and Dahane, Mohammed and Bennekrouf, Mohammed and Sari, Zaki}
}
@article {66656,
	title = {Integrated optimisation of in-house production and outsourcing strategy: genetic algorithm based approach},
	journal = {IFAC Proceedings VolumesIFAC Proceedings Volumes},
	volume = {46},
	year = {2013},
	month = {2013},
	pages = {420-425},
	isbn = {1474-6670},
	author = {Haoues, Mohammed and Dahane, Mohammed and MOUSS, Nadia Kinza and Rezg, Nidhal}
}
@article {66989,
	title = {Optimization of cooperative outsourcing between single-outsourcer multiple-subcontractors: a genetic algorithm based approach},
	journal = {IFAC Proceedings VolumesIFAC Proceedings Volumes},
	volume = {45},
	year = {2012},
	month = {2012},
	pages = {975-980},
	isbn = {1474-6670},
	author = {Haoues, Mohammed and Dahane, Mohammed and MOUSS, Nadia Kinza and Rezg, Nidhal}
}
