Laboratoire de Génie Informatique et d’Automatique de l’Artois

Yamine BOUZEMBRAK

Ph.D. student
(Position when this person departed from the LGI2A)
Member of the research axes:
2013
International journal with review committee
A multi-modal Supply Chain Network Design for recycling waterways sediments
International Journal of Environment and Pollution (IJEP), pp 15–31, Vol. 51, No. 1/2, mars 2013
2013
Scientific book
European Water Framework Directive objectives and polluted waterway sediments in Nord-Pas-de-Calais region (France)
European Continental Hydrosystems under Changing Water Policy, pp 59-70, Verlag Dr. Friedrich Pfeil, janvier 2013
Green Supply Chain Design Problem: Goal Programming Approach
1st International Workshop on Green Supply Chain, GSC'2012, Arras, France, 21-22 June, juin 2012
Supply Chain Design Problem: Goal Programming Approach
54th Annual conference of the Canadian Operational Research Society and the 10th International Conference on Multiple Objective Programming and Goal Programming, CORS/MOPGP'2012, Canada, June 11–13, juin 2012
A Possibilistic Linear Programming approach for Supply Chain Network Design under uncertainty
IMA Journal of Management Mathematics, pp 209-229, Vol. 24, No. 2, mai 2012
Environmental Taxes in Supply Chain Design for Recycling Waterways Sediments
IFAC 18th World Congress, IFAC2011, Milano, Italia, August 28th-September 2nd, septembre 2011
A Multi-Objective Green Supply Chain Network Design
IEEE First International on Mobility, Security and Logistics in Transport, MLST2011, Hammamet, Tunisia, May 31th-June 3rd, mai 2011
2011
International conference with review committee
Distribution supply chain design under demand uncertainty
International Conference on Industrial Engineering and Systems Management, IESM 2011, Metz, France, mai 2011
Sustainable Multimodal Supply Chain Design for recycling waterways sediments
8th International Conference of Modeling and Simulation , MOSIM'10, Hammamet, Tunisia, ENIM, mai 2010
A multimodal supply chain design for recycling fluvial sediments
3rd International Conference on Information Systems, Logistics and Supply Chain: Creating value through green supply chains , ILS 2010, Location decision,Supply chain Design, Mixed Integer Programming,Environment., Casablanca, Morocco, avril 2010
Conception d’une chaîne logistique pour le recyclage des boues de dragage
6ème Conférence Internationale Conception & Production Intégré, CPI 2009, Fez, Morocco, octobre 2009
2009
French conference without review committee
Conception d’une chaîne logistique pour le recyclage des boues de dragage
2ème Rencontres Nationales de la recherche sur les sites et sols pollués, Paris, octobre 2009

Author of the Ph.D. thesis "Multi-criteria Supply Chain Network Design under uncertainty"

2008 - 2011

This thesis contributes to the debate on how uncertainty and concepts of sustainable development can be put into modern supply chain network and focuses on issues associated with the design of multi-criteria supply chain network under uncertainty. First, we study the literature review , which is a review of the current state of the art of Supply Chain Network Design approaches and resolution methods. Second, we propose a new methodology for multi-criteria Supply Chain Network Design (SCND) as well as its application to real Supply Chain Network (SCN), in order to satisfy the customers demand and respect the environmental, social, legislative, and economical requirements. The methodology consists of two different steps. In the first step, we use Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) to buildthe model. Then, in the second step, we establish the optimal supply chain network using Mixed Integer Linear Programming model (MILP). Third, we extend the MILP to a multi-objective optimization model that captures a compromisebetween the total cost and the environment influence. We use Goal Programming approach seeking to reach the goals placed by Decision Maker. After that, we develop a novel heuristic solution method based on decomposition technique, to solve large scale supply chain network design problems that we failed to solve using exact methods. The heuristic method is tested on real case instances and numerical comparisons show that our heuristic yield high quality solutions in very limited CPU time. Finally, again, we extend the MILP model presented before where we assume that the costumer demands are uncertain. We use two-stage stochastic programming approach to model the supply chain network under demand uncertainty. Then, we address uncertainty in all SC parameters: opening costs, production costs, storage costs and customers demands. We use possibilistic linear programming approach to model the problem and we validate both approaches in a large application case.