Title: A multi-modal supply chain network design for recycling waterway sediments

Authors: Y. Bouzembrak; H. Allaoui; G. Goncalves; H. Bouchriha

Addresses: Univ Lille Nord de France, F-59000 Lille, France; UArtois, LGI2A, F-62400, Béthune, France; Department of Industrial Engineering, National School of Engineers of Tunis, 1002, Tunis, Tunisie ' Univ Lille Nord de France, F-59000 Lille, France; UArtois, LGI2A, F-62400, Béthune, France ' Univ Lille Nord de France, F-59000 Lille, France; UArtois, LGI2A, F-62400, Béthune, France ' Department of Industrial Engineering, National School of Engineers of Tunis, 1002, Tunis, Tunisie

Abstract: The French waterway system consists of large navigable rivers and canals connecting many regions. Maintaining a safe navigation channel, in the Nord-Pas De Calais (NPDC) region in France, requires the regular removal of accumulated sediments which are often contaminated with zinc, lead, cadmium, and mercury. New legislations, such as the European Water Framework Directive (DCA, 2000), ensure that disposal should be reduced to minimal level and the waterways sediment should be treated. Such measures increase the research interest to find the potential costumers and create the need for establishing an efficient waterway sediment network. This paper discusses the design of a multi-modal supply chain network (SCN) in order to satisfy the demand of the treated sediments and to respect environmental, social and economic requirements. First, we reviewed models for strategic supply chain network design. After that, we proposed a multi-modal, single period, supply chain network design (SCND) model for waterway sediments problem using a mixed integer linear programming (MILP) approach. Then, results obtained solving a real case SCND model of French waterways (Voies Navigables de France: VNF) in NPDC region are presented. Finally, we present the most important results and future research opportunities.

Keywords: supply chain network design; SCND; mixed integer programming; sediment recycling; waterway sediments; supply chain management; SCM; France; environmental pollution; heavy metals; zinc; lead; cadmium; mercury; multi-modal networks; mixed integer linear programming; MILP; French waterways; water pollution.

DOI: 10.1504/IJEP.2013.053176

International Journal of Environment and Pollution, 2013 Vol.51 No.1/2, pp.15 - 31

Received: 07 Mar 2011
Accepted: 24 Dec 2011
Published online: 28 Feb 2014 *

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