Authors:
Akram Chibani
1
;
Xavier Delorme
2
;
Alexandre Dolgui
2
and
Henri Pierreval
3
Affiliations:
1
LIMOS, Laboratoire Informatique, Modelisation et Optimisation des Systèmes, École Nationale Supérieure des Mines de Saint-Étienne and Clermont University, France
;
2
LIMOS, Laboratoire Informatique, Modelisation et Optimisation des Systèmes and École Nationale Supérieure des Mines de Saint-Étienne, France
;
3
LIMOS, Laboratoire Informatique, Modelisation et Optimisation des Systèmes and Clermont University, France
Keyword(s):
Supply Chain, Supplier Selection, Flexibility, Adaptation, Genetic Algorithm, Dynamic Optimization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
e-Business
;
Enterprise Information Systems
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Logistics
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
Symbolic Systems
Abstract:
Supply chains are complicated dynamical systems due to many factors, e.g. the competition between companies, the globalization, demand fluctuations, sales forecasting. Hence, they must react to changes in order to adapt quickly its network. In this paper we focus on a two echelon supply chain problem dealing with supplier selection issue during periods in a highly flexible context. How to select suppliers is the main question we try to answer in this research. A suggested approach based on dynamic optimization is highlighted to solve this problem.