Dispersion optimization using a genetic algorithm
Résumé
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.
Mots clés
dispatching
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.
meta-heuristics
raw materials dispersion
logistic choices optimisation
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2009 - Dispersion optimisation using a genetic algorithm (IJAOM).pdf (482.9 Ko)
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