@article {Rachih202243,
	title = {Simulation optimization of an inventory control model for a reverse logistics system},
	journal = {Decision Science Letters},
	volume = {11},
	number = {1},
	year = {2022},
	note = {cited By 3},
	pages = {43-54},
	abstract = {Nowadays, companies are recognizing their primordial roles and responsibilities towards the protection of the environment and save the natural resources. They are focusing on some contemporary activities such as Reverse Logistics which is economically and environmentally viable. However, the integration of such an initiative needs flows restructuring and supply chain management in order to increase sustainability and maximize profits. Under this background, this paper addresses an inventory control model for a reverse logistics system that deals with two separated types of demand, for new products and remanufactured products, with different selling prices. The model consists of a single shared machine between production and remanufacturing operations, while the machine is subject to random failures and repairs. Three stock points respectively for returns, new products and remanufactured products are investigated. Meanwhile, in this paper, a modeling of the problem with Discrete-Event simulation using Arena{\textregistered} was conducted. Regarding the purpose of finding, a near-optimal inventory control policy that minimizes the total cost, an optimization of the model based on Tabu Search and Genetic Algorithms was established. Computational examples and sensitivity analysis were performed in order to compare the results and the robustness of each proposed algorithm. Then the results of the two methods were compared with those of OptQuest{\textregistered} optimization tool. {\textcopyright} 2022 by the authors; doi:.},
	doi = {10.5267/j.dsl.2021.9.001},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122133768\&doi=10.5267\%2fj.dsl.2021.9.001\&partnerID=40\&md5=d46c9884d1a5aa28b8b6d404febf6820},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
@article {Rachih201945,
	title = {Meta-heuristics for reverse logistics: A literature review and perspectives},
	journal = {Computers and Industrial Engineering},
	volume = {127},
	year = {2019},
	note = {cited By 0},
	pages = {45-62},
	doi = {10.1016/j.cie.2018.11.058},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057829016\&doi=10.1016\%2fj.cie.2018.11.058\&partnerID=40\&md5=f54213def0a5cf5c548b7574f8063804},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
@conference {Rachih2017,
	title = {Metaheuristics applied in remanufacturing and reverse logistics: A review},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F129474},
	year = {2017},
	note = {cited By 0},
	abstract = {Due to growing environmental concerns, a large number of companies and organizations in the world give importance to reverse logistics and remanufacturing. Remanufacturing which aims is to take care of used or damaged product in the purpose of returning it like new product, lead many researchers to study the integration of this reverse flow in the process of the forward supply chain. The resulting models are difficult and complex to solve and optimize, hence the need to integrate a strong and efficient method such as Metaheuristics to solve those complex optimization problems. The purpose of this study is to review the published literature on the issues of reverse logistics and remanufacturing, and classified these papers by the type of metaheuristic used. Also, it aims to outline some future opportunities for research based on research gap analysis. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3090354.3090462},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028474536\&doi=10.1145\%2f3090354.3090462\&partnerID=40\&md5=c4408470ba292c01841b6cf733c3b036},
	author = {Rachih, H. and Mhada, F.Z. and Chiheb, R.}
}
