Incorporating inventory and routing costs in strategic location models

Incorporating inventory and routing costs in strategic location models

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Article ID: iaor2009120
Country: Netherlands
Volume: 179
Issue: 2
Start Page Number: 372
End Page Number: 389
Publication Date: Jun 2007
Journal: European Journal of Operational Research
Authors: ,
Keywords: inventory: order policies, vehicle routing & scheduling
Abstract:

We consider a supply chain design problem where the decision maker needs to decide the number and locations of the distribution centers (DCs). Customers face random demand, and each DC maintains a certain amount of safety stock in order to achieve a certain service level for the customers it serves. The objective is to minimize the total cost that includes location costs and inventory costs at the DCs, and distribution costs in the supply chain. We show that this problem can be formulated as a nonlinear integer programming model, for which we propose a Lagrangian relaxation based solution algorithm. By exploring the structure of the problem, we find a low-order polynomial algorithm for the nonlinear integer programming problem that must be solved in solving the Lagrangian relaxation sub-problems.

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