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Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics

2003; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-540-24580-3_9

1611-3349

Carlos Silva, Thomas A. Runkler, João M. C. Sousa, José Sá da Costa,

Optimization and Packing Problems

This paper addresses the optimization of logistic processes in supply-chains using meta-heuristics: genetic algorithms and ant colony optimization. The dynamic assignment of components to orders and choosing the solution that is able to deliver more orders at the correct date, is a scheduling problem that classical scheduling methods can not cope with. However, the implementation of meta-heuristics is done only after a positive assessment of the performance's expectation provided by the fitness-distance correlation analysis. Both meta-heuristics are then applied to a simulation example that describes a general logistic process. The performance is similar for both methods, but the ant colony optimization method provides more information at the expenses of computational costs.