Deliveries optimization by exploiting production traceability information

Simón Tamayo (1, 2) , Thibaud Monteiro (1, 2, 3) , Nathalie Sauer (1, 2)

1 COSTEAM - Optimal and secure management of manufacturing systems
2 LGIPM - Laboratoire de Génie Industriel, de Production et de Maintenance
3 LASPI - Laboratoire d'Analyse des Signaux et des Processus Industriels

The recent product traceability requirements, particularly in food production chains, demonstrate an industrial need to improve traceability systems. Having real-time access to traceability information allows its exploitation, which is the aim of this work. In this paper the problem of minimizing the cost of products recall is treated. First the raw material dispersion problem is analyzed, in order to determine a risk level criterion or "production criticality". This criterion is used subsequently to optimize deliveries dispatch with the purpose of minimizing the number of batch recalls in case of crisis. This is achieved by implementing decision-making aid tools based on operational research and artificial intelligence.

Mots clés: Food traceability; Raw material dispersion; Genetic algorithms; Artificial neural networks; Expert systems; Optimization

Domaines: Automatique / Robotique; Recherche opérationnelle [math.OC]; Intelligence artificielle [cs.AI]

Simón Tamayo, Thibaud Monteiro, Nathalie Sauer. Deliveries optimization by exploiting production traceability information. Engineering Applications of Artificial Intelligence, 2009, 22 (4/5), pp. 557-568. ⟨10.1016/j.engappai.2009.02.007⟩. ⟨hal-00584902⟩