Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete

Author:

Naso David,Surico Michele,Turchiano Biagio,Kaymak Uzay

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference23 articles.

1. A heuristic methodology for order distribution in a demand driven collaborative supply chain;Chan;International Journal of Production Research,2004

2. Optimizing the schedule of dispatching RMC trucks through genetic algorithms;Feng;Automation in Construction,2004

3. Garcia, J.M., Lozano, S., Smith, K., Kwok, T., Villa, G., 2002. Coordinated scheduling of production and delivery from multiple plants and with time windows using genetic algorithms. In: Proceedings of the 9th International Conference on Neural Information Processing, ICONIP’02, vol. 3, pp. 1153–1158.

4. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling;Ishibuchi;IEEE Transactions on Evolutionary Computation,2003

5. A computerized causal forecasting system using genetic algorithms in supply chain management;Jeong;Journal of Systems and Software,2002

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