Designing the distribution network for an integrated supply chain

We consider an integrated distribution network design problem in which all the retailers face uncertain demand. The risk-pooling benefit is achieved by allowing some of the retailers to operate as distribution centers (DCs) with commitment in service level. The target is to minimize the expected tot...

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Main Authors: Shu, J., Sun, Jie
Format: Journal Article
Published: American Institute of Mathematical Sciences 2006
Online Access:http://aimsciences.org/journals/contentsList.jsp?pubID=127
http://hdl.handle.net/20.500.11937/47665
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author Shu, J.
Sun, Jie
author_facet Shu, J.
Sun, Jie
author_sort Shu, J.
building Curtin Institutional Repository
collection Online Access
description We consider an integrated distribution network design problem in which all the retailers face uncertain demand. The risk-pooling benefit is achieved by allowing some of the retailers to operate as distribution centers (DCs) with commitment in service level. The target is to minimize the expected total cost resulted from the DC location, transportation, and inventory. We formulate it as a two-stage nonlinear discrete stochastic optimization problem. The first stage decides which retailers to be selected as DCs and the second stage deals with the costs of DC-retailer assignment, transportation,and inventory. In the literature, the similar models require the demands of all retailers in each scenario to have their variances identically proportional to their means. In this paper, we remove this restriction. We reformulate the problem as a set-covering model and solve it by a column generation approach. With a variable fixing technique, we are able to efficiently solve problems of moderate-size (up to one hundred retailers and nine scenarios).
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spelling curtin-20.500.11937-476652017-02-28T01:37:53Z Designing the distribution network for an integrated supply chain Shu, J. Sun, Jie We consider an integrated distribution network design problem in which all the retailers face uncertain demand. The risk-pooling benefit is achieved by allowing some of the retailers to operate as distribution centers (DCs) with commitment in service level. The target is to minimize the expected total cost resulted from the DC location, transportation, and inventory. We formulate it as a two-stage nonlinear discrete stochastic optimization problem. The first stage decides which retailers to be selected as DCs and the second stage deals with the costs of DC-retailer assignment, transportation,and inventory. In the literature, the similar models require the demands of all retailers in each scenario to have their variances identically proportional to their means. In this paper, we remove this restriction. We reformulate the problem as a set-covering model and solve it by a column generation approach. With a variable fixing technique, we are able to efficiently solve problems of moderate-size (up to one hundred retailers and nine scenarios). 2006 Journal Article http://hdl.handle.net/20.500.11937/47665 http://aimsciences.org/journals/contentsList.jsp?pubID=127 American Institute of Mathematical Sciences restricted
spellingShingle Shu, J.
Sun, Jie
Designing the distribution network for an integrated supply chain
title Designing the distribution network for an integrated supply chain
title_full Designing the distribution network for an integrated supply chain
title_fullStr Designing the distribution network for an integrated supply chain
title_full_unstemmed Designing the distribution network for an integrated supply chain
title_short Designing the distribution network for an integrated supply chain
title_sort designing the distribution network for an integrated supply chain
url http://aimsciences.org/journals/contentsList.jsp?pubID=127
http://hdl.handle.net/20.500.11937/47665