@conference {Razouk2020,
	title = {New approach for solving the internal truck containers transfert problem},
	booktitle = {Proceedings - 2020 5th International Conference on Logistics Operations Management, GOL 2020},
	year = {2020},
	note = {cited By 0},
	abstract = {International maritime transport has becoming an important and interesting way comparing to the land and the rail transport. This improvement have mainly reduced the travel time and the expected delivery time, except sometimes in difficult weather conditions where actual times may be slightly longer than expected. Containers terminals are considered as an interface between different maritime actors: ship owner, freight forwarder, consignee, containers terminal and port authority. In this paper, we focus our work on a part of the marine transportation, which is the transfer of containers by internal trucks inside a containers terminal. We solve this problem by proposing a new mathematical model and new resolution methods, the obtained results prove the effectiveness of the proposed approach, which help to improve the port efficiency. {\textcopyright} 2020 IEEE.},
	keywords = {Containers, Freight forwarders, Marine transportation, Maritime transport, New mathematical model, Port authorities, Port efficiency, Rail transport, Resolution methods, Travel time, Trucks, Waterway transportation},
	doi = {10.1109/GOL49479.2020.9314736},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100172721\&doi=10.1109\%2fGOL49479.2020.9314736\&partnerID=40\&md5=d68f021c8823c097541b215b8fd58eaf},
	author = {Razouk, C. and Benadada, Y. and Boukachour, J.}
}
@conference {ElAmrani20171973,
	title = {New exact method to solve multi-capacitated location problem using set partitioning formulation},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
	year = {2017},
	note = {cited By 0},
	pages = {1973-1982},
	abstract = {In this paper, we present one generalization of the famous capacitated p-median location problem, called budget constraint multi-capacitated location problem (MCLP). This generalization is characterized by allowing each facility to be used with different capacity levels. We consider n customers, m facilities and l capacity levels, we note that the solution shape of MCLP can be represented as a set of disjoint clusters, each cluster is composed of one facility and a subset of customers. When creating clusters, some constraints must be met, namely the level selection and capacity. In this work, we present the new formulation of the MCLP based on set partitioning, then we suggest an adapted solving method, which will be called NFF (Nearest Facility First). The NFF approach is used in two ways: as a heuristic by taking only the first solution found or exact method when waiting finish the execution. Computational results are presented at the end using instances that we have created under some criteria of difficulties or adapted from those of p-median problems available in literature. The NFF method provides very good results for low and medium difficulty instances, but it is less effective for the more complex ones. To remedy this problem, the method will be supplemented by column generation approach. {\textcopyright} IEOM Society International.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018949470\&partnerID=40\&md5=4b843bd615c5260fc757d470ecea56ca},
	author = {El Amrani, M. and Benadada, Y. and Gendron, B.}
}
