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

Khaoula BESBES

Ph.D. student
(Position when this person departed from the LGI2A)
Member of the research axes:
2014
Scientific book
A stochastic approach to product-driven supply chain design
Handbook of Research on Artificial Intelligence Techniques and Algorithms, IGI Global, novembre 2014
2014
International journal with review committee
A green supply chain design with product life cycle considerations
Supply Chain Forum: an International Journal, SCFIJ, février 2014
A multi-period supply chain design with product life cycle considerations
5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2013, Hammamet, Tunisia, avril 2013
A supply chain design with product life cycle and green procurement considerations
10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013, Paris, France, April 10-12, avril 2013
A two-phase approach for supply chain design with product life cycle and green procurement considerations
9ème Conférence Internationale de Modélisation, Optimisation et SIMulation, MOSIM'12, Bordeaux, juin 2012
A two-phase linear bi-objective approach to green supply chain design with product life cycle considerations
1st International Workshop on Green Supply Chain, GSC'2012, Arras, France, 21-22 June, juin 2012
A multi phase approach for supply chain design with product life cycle considerations
IEEE International Conference on Networking, Sensing and Control, ICNSC 2012, Beijing, China, 11-14 April, avril 2012
2011
International conference with review committee
Khaoula BESBES -- Hamid ALLAOUI -- Gilles GONCALVES
Supply chain design under uncertainty on product life cycle
International Conference on Industrial Engineering and Systems Management, IESM 2011, Metz, France, mai 2011

Author of the Ph.D. thesis "Supply chain design with product life cycle considerations"

2009 - 2013

Our research addresses the problem of designing a multi-level supply chain, while taking into consideration the product life cycle. By product life cycle, we mean the succession of the four marketing stages that a product goes through since its introduction to the market and until it will be removed from. All products have a life cycle which can be classified into four discrete stages: introduction, growth, maturity and decline.Depending on the product life cycle phases, and based on a thorough analysis of the different supply chain potential actors, this study aims to establish mathematical models to design an efficient supply chain network. Three main models have been developed in this thesis. The first proposed model aims to design a product-driven supply chain with a minimal total cost, taking into consideration the evaluation of the different potential actors effectiveness, according to several criteria (cost, quality, innovation, quality service, timely delivery, ...).A second model was developed to design of a sustainable supply chain network, taking into account the product life cycle. In this model, three different objectives at the time were considered, namely, an economic objective, an environmental objective and a social objective.In the two previous models, we have assumed that the product has a classical life cycle. However, in the reality this is not always the case. Indeed, some products have very atypical life cycles, whose curves are very different from the classical one. To tackle this problem, in the third part of this thesis, we propose a stochastic model to design a robust supply chain network, taking into account the different product life cycle scenarios.