Title: Dispersion optimisation using a genetic algorithm

Authors: Simon Tamayo, Thibaud Monteiro, Nathalie Sauer

Addresses: LGIPM EA 3096 / INRIA-COSTEAM, ENIM – University Paul Verlaine – Metz, Ile du Saulcy, 57012 Metz – Cedex, France; Adents High-Tech International, 1 Allee des Garays, 91120 Palaiseau, France. ' LASPI EA 3059, University Jean Monnet – Saint Etienne, 20 avenue de Paris, 42334 Roanne – Cedex, France; INRIA-COSTEAM, Ile du Saulcy, 57012 Metz – Cedex, France. ' LGIPM EA 3096 / INRIA-COSTEAM, ENIM – University Paul Verlaine – Metz, Ile du Saulcy, 57012 Metz – Cedex, France

Abstract: The presented works concern the traceability phenomenon implementation within the production organisation, particularly in the field of raw materials management in the food industry. This project aims to minimise the raw material|s dispersion in the manufactured products. We seek to solve the problem of raw materials allocation into finished products, in order to minimise its dispersion and moreover, the products recall if needed. The dispersion criteria are afterwards used to determine production|s criticality in terms of sanitary risk, from which it is possible to optimise the processes of picking and dispatching. The final objective is to reduce the number of recalls in case of a crisis using the traceability information and the decision making tools. To solve the first part of the problem, a genetic algorithm is proposed.

Keywords: metaheuristics; evolutionary algorithms; decision making; raw materials management; traceability; logistics choices; dispersion optimisation; genetic algorithms; food industry; raw materials allocation; finished products; dispersion criteria; production criticality; sanitary risk; picking; dispatching.

DOI: 10.1504/IJAOM.2009.030676

International Journal of Advanced Operations Management, 2009 Vol.1 No.2/3, pp.267 - 285

Published online: 30 Dec 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article