<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merghem, Mohammed</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">SENOUSSI, Ahmed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia-Kinza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integrated production and maintenance planning in imperfect hybrid manufacturing&amp;ndash;remanufacturing systems with outsourcing and carbon emissions</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Production Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.ijpe.2025.109862</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">291</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	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.
&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merghem, Mohammed</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Kinza-Nadia</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">SENOUSSI, Ahmed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities</style></title><secondary-title><style face="normal" font="default" size="100%">4th International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><publisher><style face="normal" font="default" size="100%">ScienceDirect</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lahmar, Houria</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia-Kenza</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-objective production planning of new and remanufactured products in hybrid production system</style></title><secondary-title><style face="normal" font="default" size="100%">10th IFAC Conference Onmanufacturing Modelling, Management And Control 22-24 June</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><pub-location><style face="normal" font="default" size="100%">Nantes, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lahmar, Houria</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia-Kinza</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system</style></title><secondary-title><style face="normal" font="default" size="100%">Procedia Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1877050922003349</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">200</style></volume><pages><style face="normal" font="default" size="100%">1244-1253</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lahmar, Houria</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia-Kinza</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system</style></title><secondary-title><style face="normal" font="default" size="100%">3rd International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science 200</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1877050922003349</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ScienceDirect</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p id=&quot;spara0146&quot; style=&quot;text-align: justify;&quot;&gt;
	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.
&lt;/p&gt;

&lt;ul id=&quot;issue-navigation&quot;&gt;
&lt;/ul&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lahmar, Houria</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">MOUSS, Nadia Kinza</style></author><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system</style></title><secondary-title><style face="normal" font="default" size="100%">Procedia Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.procs.2022.01.325</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">200</style></volume><pages><style face="normal" font="default" size="100%">1244-1253</style></pages><isbn><style face="normal" font="default" size="100%">1877-0509</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	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.
&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohamed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia-Kenza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Capacity Planning With Outsourcing Opportunities Under Reliability And Maintenance Constraints. Status</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Industrial and Systems Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ideas.repec.org/a/ids/ijisen/v37y2021i3p382-409.html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">37</style></volume><pages><style face="normal" font="default" size="100%">382-409</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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’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.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Kinza-Nadia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Capacity planning with outsourcing opportunities under reliability and maintenance constraints</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Industrial and Systems Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ideas.repec.org/a/ids/ijisen/v37y2021i3p382-409.html</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">37</style></volume><pages><style face="normal" font="default" size="100%">382-409</style></pages><isbn><style face="normal" font="default" size="100%">1748-5037</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	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'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.
&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brahami, Mustapha Anwar</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Souier, Mehdi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach</style></title><secondary-title><style face="normal" font="default" size="100%">Annals of Operations ResearchAnnals of Operations Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">1-32</style></pages><isbn><style face="normal" font="default" size="100%">1572-9338</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belhocine, Latifa</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Yagouni, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Approche multiobjectif et hybride pour l’optimisation des décisions de récupération et de remise à neuf d’une politique de remanufacturing</style></title><secondary-title><style face="normal" font="default" size="100%">ROADEF 2019</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belhocine, Latifa</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Yagouni, Mohammed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution to the optimisation of products recovery and remanufacturing: a multiobjective non-dominated sorting genetic algorithm based hybrid approach</style></title><secondary-title><style face="normal" font="default" size="100%">2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">134-139</style></pages><isbn><style face="normal" font="default" size="100%">1-72814-569-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">MOUSS, Nadia Kinza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of single outsourcer–single subcontractor outsourcing relationship under reliability and maintenance constraints</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Industrial Engineering InternationalJournal of Industrial Engineering International</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">395-409</style></pages><isbn><style face="normal" font="default" size="100%">2251-712X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Mouss, Nadia Kenza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Intelligent ManufacturingJournal of Intelligent Manufacturing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><volume><style face="normal" font="default" size="100%">30</style></volume><pages><style face="normal" font="default" size="100%">701-725</style></pages><isbn><style face="normal" font="default" size="100%">1572-8145</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bensmain, Yassir</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">Bennekrouf, Mohammed</style></author><author><style face="normal" font="default" size="100%">Sari, Zaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach</style></title><secondary-title><style face="normal" font="default" size="100%">Reliability Engineering &amp; System SafetyReliability Engineering &amp; System Safety</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">185</style></volume><pages><style face="normal" font="default" size="100%">546-566</style></pages><isbn><style face="normal" font="default" size="100%">0951-8320</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">MOUSS, Nadia Kinza</style></author><author><style face="normal" font="default" size="100%">Rezg, Nidhal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Integrated optimisation of in-house production and outsourcing strategy: genetic algorithm based approach</style></title><secondary-title><style face="normal" font="default" size="100%">IFAC Proceedings VolumesIFAC Proceedings Volumes</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">7</style></number><volume><style face="normal" font="default" size="100%">46</style></volume><pages><style face="normal" font="default" size="100%">420-425</style></pages><isbn><style face="normal" font="default" size="100%">1474-6670</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Haoues, Mohammed</style></author><author><style face="normal" font="default" size="100%">Dahane, Mohammed</style></author><author><style face="normal" font="default" size="100%">MOUSS, Nadia Kinza</style></author><author><style face="normal" font="default" size="100%">Rezg, Nidhal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of cooperative outsourcing between single-outsourcer multiple-subcontractors: a genetic algorithm based approach</style></title><secondary-title><style face="normal" font="default" size="100%">IFAC Proceedings VolumesIFAC Proceedings Volumes</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">6</style></number><volume><style face="normal" font="default" size="100%">45</style></volume><pages><style face="normal" font="default" size="100%">975-980</style></pages><isbn><style face="normal" font="default" size="100%">1474-6670</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>