A decomposition-based approach for the multiperiod multiproduct distribution planning problem

Hosseini, Seyed Ahmad and Şahin, Güvenç and Ünlüyurt, Tonguç (2014) A decomposition-based approach for the multiperiod multiproduct distribution planning problem. Journal of Applied Mathematics . ISSN 1110-757X (Print) 1687-0042 (Online)

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1155/2014/825058


We address the most general case of multiperiod, multiproduct network planning problems, where we allow spoilage on arcs and storage at nodes. In our models, all network parameters change over time and products. The minimum-cost flow problem in the discrete-time model with varying network parameters is investigated when we allow storage and/or spoilage, and some reformulation techniques employing polyhedrals are developed to obtain optimal solutions for a predefined horizon. Our methods rely on appropriate definitions of polyhedrals and matrices that lead to LP problems comprising a set of sparse subproblems with special structures. Knowing that computational expenses of solving such a large-scale planning problem can be decreased by using decomposition techniques, the special structure of polyhedrals is utilized to develop algorithmic approaches based on decomposition techniques to handle the global problem aiming to save computational resources.

Item Type:Article
Additional Information:Article Number: 825058
ID Code:25744
Deposited By:Tonguç Ünlüyurt
Deposited On:15 Dec 2014 10:09
Last Modified:15 Dec 2014 10:09

Repository Staff Only: item control page