@proceedings {7283,
	title = {Reverse Logistics with Disassembly, Assembly, Repair and Substitution},
	journal = {IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
	year = {2020},
	address = {Singapore, Singapore},
	abstract = {
	A reverse logistics planning problem is modeled and analyzed. The model considers returns of a particular electronic device from customers. Some of the collected products are remanufactured or refurbished. Others are disassembled for their key parts which can be considered as good as new. New products are assembled either using new parts or extracted ones. There are two types dynamic demands: demands for remanufactured/refurbished products and demands for new products. Demand of remanufactured/refurbished products can be satisfied using new products in case of shortage. This is a one way downward substitution. The objective is to minimize total costs while satisfying all demands. This problem is formulated as a MILP. The numerical results show that: i) it is hard for a solver to find optimal solutions for the problem in reasonable computational times for several instances with relatively small time horizons and ii) substitution is justified for a certain range of cost and demand parameters.

},
	author = {Boutarfa, Youcef and Senoussi Ahmed and Brahimi, N}
}
@article {5146,
	title = {Heuristics Based on Genetic Algorithms for the Capacitated Multi Vehicle Production Distribution Problem, ISSN / e-ISSN 0305-0548 / 1873-765X},
	journal = {Computers \& Operations Research},
	volume = {Volume 96},
	year = {2018},
	pages = {108-119},
	abstract = {In this paper, we consider the integration of production, inventory and distribution decisions in a supply chain composed of one production facility supplying several retailers located in the same region. The supplier is far from the retailers compared to the distance between retailers. Thus, the traveling cost of each vehicle from the supplier to the region is assumed to be fixed and there is a fixed delivery (service) cost for each visited retailer. The objective is to minimize the sum of the costs at the production facility and at the retailers. The problem is more general than the One-Warehouse Multi-Retailer problem and is a special case of the Production Routing Problem. Five heuristics based on a Genetic Algorithm are proposed to solve the problem. In particular, three of them include the resolution of a Mixed Integer Program as subproblem to generate new individuals in the population. The results show that the heuristics can find optimal solutions for small and medium size instances. On large instances, the gaps obtained by the heuristics in less than 300\&nbsp;s are better than the ones obtained by a standard solver in two hours.},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0305054818301011},
	author = {Senoussi Ahmed and Dauz{\`e}re-P{\'e}r{\`e}s St{\'e}phane and Brahimi Nadjib and Penz Bernard and Moussa Nadia Kinza}
}
@mastersthesis {6173,
	title = {Optimisation des fonctions int{\'e}gr{\'e}es de production, de stockage et de distribution dans une chaine logistique},
	year = {2016},
	author = {Senoussi Ahmed}
}
@proceedings {3550,
	title = {A Tabu search heuristic for an integrated production-distribution problem with clustered retailers},
	journal = {MIM 2016 - 8th IFAC Conference on Manufacturing Modelling and control},
	year = {2015},
	author = {Senoussi Ahmed}
}
@article {3341,
	title = {Modeling and solving a one supplier multi-vehicle production-inventory-distribution ptoblem xith clustered retailers,  ISSN/ISBN 0268-3768 / 1433-3015},
	journal = {INT J ADV MANUF TECH},
	volume = {Volume 85},
	number = { Issue 5{\textendash}8},
	year = {2015},
	pages = {pp 971{\textendash}989},
	abstract = {This paper considers a supply chain management problem which integrates production, inventory, and distribution decisions. The supply chain is composed of one supplier production facility and several retailers located in a given geographic region. The supplier is responsible for the production and the replenishment of the inventory of retailers, in a vendor managed inventory (VMI) context. The distance between retailers is negligible compared to the distance between the supplier and the retailers{\textquoteright} region. Thus, for each vehicle, there is a major fixed cost for traveling to the cluster of retailers and a minor fixed cost for visiting each individual retailer. The problem consists of determining quantities to be produced, quantities to be delivered to retailers, vehicles to be used, and retailers to be serviced by each vehicle. This problem is an extension of the one warehouse multi-retailer problem with the consideration of production planning and storage and vehicle capacity limitations in addition to fixed vehicle utilization costs and retailer servicing costs. The objective is to minimize a total cost composed of production, transportation, and inventory holding costs at the supplier and at the retailers. Two mixed integer linear programming formulations are proposed and six families of valid inequalities are added to strengthen these formulations. Two of these families are new and the others are adapted from the literature. The numerical results show that the valid inequalities considerably improve the quality of the formulations. Moreover, the parameters that influence the most computational times are analyzed},
	url = {https://link.springer.com/article/10.1007/s00170-015-7966-5},
	author = {Senoussi Ahmed and Mouss kinza Nadia and Dauzere-Peres}
}
@conference {4676,
	title = { Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company. In Proceedings of IEEE Control, Decision and Information Technologies , in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Smaili Yamina and Senoussi Ahmed and Mouss Nadia. Kinza}
}
@conference {4666,
	title = {Strong formulations for a capacitated multi-vehicle Production-distribution Problem; In Proceedings of IEEE},
	booktitle = { Industrial Engineering and Systems Management (IESM), Rabat,  Morocco},
	year = {2013},
	pages = {pp 1-7    },
	url = {https://hal.inria.fr/index.php?halsid=u75aaocmrglodqt0keqms14qr7\&view_this_doc=hal-00879812\&version=1},
	author = {Senoussi Ahmed and Mouss Kinza and B.Penz and Brahimi Nadjia}
}
