The effect of demand representation on locating facilities in a supply chain network

Mi Gan, Wei Hua Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The objectives of a typical facility location problem is either to maximize the coverage with a given number of facilities or to minimize the number of facilities used to cover a given area. In recent years, it has been found that how demand is characterized in a facility location model can significantly affect the performance of facility location models. In a supply chain network the goal is often to maximize the demand coverage and minimize the total costs (construction, transaction, operation, etc.) subject to a set of constraints. In this paper, we explored the importance of demand representation in the context of a supply chain network and examined how a realistic representation of demand in a supply chain network would affect the network design. We fIrSt analyzed the general definition and characteristics of the facility location problem in a supply chain. We then examined the various objectives and constraints associated with the demand representation and formulated a multi-objectives model to address the facility location problem in a supply chain network. The overlap function of ArcGIS 9.3 was utilized and a solution procedure to the proposed problem was developed. Finally a numerical example was generated to examine the performance of the proposed model and its solution algorithm.

Original languageEnglish (US)
Title of host publicationProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Pages189-194
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China
Duration: Jul 15 2010Jul 17 2010

Publication series

NameProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010

Other

Other2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Country/TerritoryChina
CityQingDao
Period7/15/107/17/10

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

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