Science and Technology Production
Book Chapter
Authorship
M. Coccola
;
MENDEZ, CARLOS ALBERTO
;
Dondo, Rodolfo G.
Date
2017
Publishing House and Editing Place
Elsevier
Book
Proceedings of the 27th European Symposium on Computer Aided Process Engineering ? ESCAPE 27
(pp. 1387-1392)
Elsevier
Elsevier
ISBN
978-0-444-63965-3
Summary
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SIGEVA
Vendor-Managed Inventory (VMI) is a business practices based on the cooperation between a supplier and its customers in which demand and inventory information from the customers are shared with the supplier. The practice is based on the inventoryrouting problem (IRP), which integrates inventory management, vehicle routing, and delivery scheduling decisions. Because of the large expenses in distribution and inventorying of chemical products, it is attractive to make use of optimization tools for...
Vendor-Managed Inventory (VMI) is a business practices based on the cooperation between a supplier and its customers in which demand and inventory information from the customers are shared with the supplier. The practice is based on the inventoryrouting problem (IRP), which integrates inventory management, vehicle routing, and delivery scheduling decisions. Because of the large expenses in distribution and inventorying of chemical products, it is attractive to make use of optimization tools for exploiting as many degrees of freedom as possible in order to save costs. So, we propose a nested column generation (CG) algorithm for a problem related to the distribution of multiple chemicals fluids according to the VMI-modality. Our approach builds on a CG algorithm in which, for each delivery route, the patterns of delivery of fluids are also produced by CG. We describe our implementation and give computational results for a test instance.
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Key Words
Supply chainLogistics