NDLI: Design of multi-commodity distribution network with random demands and supply lead-times

Content Provider	IEEE Xplore Digital Library
Author	Tanonkou, G.A. Benyoucef, L. Xiaolan Xie
Copyright Year	2007
Description	Author affiliation: INRIA Lorriane, Metz (Tanonkou, G.A.; Benyoucef, L.)
Abstract	This paper deals with the stochastic multi-commodity distribution network design problem. The distribution network is composed of a single supplier serving a set of retailers through a set of distribution centers (DCs) to locate. Each retailer faces independent random demands of different commodities, the supply lead-time from the supplier to each DC is random. The central issues of the problem are: which retailer locations should be selected as DCs and commodity-by-commodity how to assign retailers to DCs. The goal is to minimize the total location, shipment, and inventory costs, while ensuring a specified retailer service level. A Lagrangian relaxation approach is proposed, and computational experiments presented and analyzed showing its effectiveness.
Starting Page	698
Ending Page	703
File Size	628502
Page Count	6
File Format	PDF
ISBN	9781424411535
DOI	10.1109/COASE.2007.4341800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed control Stochastic processes Supply chains Cost function Lagrangian functions Economies of scale Design automation Design engineering USA Councils Production systems
Content Type	Text
Resource Type	Article

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