Proceedings of the 3 rd International Conference on Information Systems, Logistics and Supply Chain Creating value through green supply chains ILS 2010 – Casablanca (Morocco), April 14-16 A multimodal supply chain design for recycling fluvial sediments Y .Bouzembrak 1, 2, 3, * , H. Allaoui 1, 2 , G. Goncalves 1, 2 , E. Masson 1, 4 , H.Bouchriha 3 ,M.Baklouti 3 . 1 Univ Lille Nord de France, F-59000 Lille, – France 2 UArtois, LGI2A, F-62400, Béthune, – France (gilles.goncalves,hamid.allaoui@univ-artoi.fr) 3 Departement of Industrial Engineering, National school of Engineers of Tunis, 1002, Tunis, – Tunisie (yaaamine@yahoo.fr) (mohamed.baklouti,Hanen.Bouchriha@enit.rnu.tn) 4 USTL, TVES, F-59655, Villeneuve-d’Ascq, – France (Eric.Masson@univ-lille1.fr) Abstract : The French waterway system consist of large navigable rivers and canals connecting many region. Maintaining a safe navigation channel, in the NPDC(Nord Pas De Calais) region in France, requires the regular removal of accumulated sediments which are often contaminated with zinc, plumb, cadmium, and mercury. New legislation, such as the European Water Framework Directive ,DCA (2000), ensures that disposal is reduced to minimal level and the fluvial sediment should be treated. Such measures cause an increase on the research interest to find the potential costumers and create the need for establishing an efficient fluvial sediment sand network. The treatment of these waterway sediments presents an important logistic system. This paper reviews model for strategic design of the waterway sediment sand network. We propose a multimodal, single period, location model for the fluvial sediment sand problem using a mixed integer programming (MIP). The results obtained with this model using data from the sand network in the France region are presented. We conclude by identifying future research opportunities. Keywords : Location decision; Supply chain Design; Mixed Integer Programming; Environment. 1 Introduction Natural resources become more and more unavailable be- cause of important increasing in consumption for urban de- velopment. Aggregate (gravel, sand, crushed stone) is one of this development keys. It’s used in residential, commer- cial and industrial building construction as well as in public infrastructures. The high rate of industriel production gen- erates a considerable amount of material waste which can affect the environment. Consequently, the treatment of sed- iments accumulated from canals, ports and rivers could be an alternative solution to the fast decreasing of natural re- sources. This solution can only have a positive impact on costs and environment. In this context, this paper deals with the design of a supply chain network in order to satisfy the demand of the treated sand and to respect the environmental requirements. The objective is to minimize the sum of, opening, storage, pro- duction, and transportation costs. We determine location of treatment facilities and their capacities to satisfy an es- timated annual demand of potential customers. A multi- modal transportation are taken into consideration for envi- ronmental aspects. Location decisions are the most critical and difficult of the decisions needed to design an efficient supply chain, Daskin et al. (2005). The location of multi-million Euros treatment facility cannot be changed as a result of changes in cus- tomer demands, transportation costs, or product prices. We propose a mixed integer linear model to specify the ob- jective function and constraints of the studied problem. The problem is solved optimally for real size instances using Cplex10.1 solver. This paper is organized as follows, in section 2, the litera- ture on supply chain design discussed. In section 3, the case * Corresponding Author. Address: LGI2A, Technoparc Futura, 62400 Béthune, France. E-mail address: yaaamine@yahoo.fr