Application of AHP/DEA to facility layout selection

Zhenhua Gao*, Kazuho Yoshimoto, Shunichi Ohmori

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Facility location selection is a multi-criteria decision problem and has a strategic importance for many companies, so it is very important to select alternative locations using appropriate methods. The aim of this study is to use analytic hierarchy process (AHP) and pure output data envelopment analysis (DEA) methods for facility location selection. After determining the factors that affect the facility location decisions, pure output DEA is used to construct the comparison matrix, then AHP is applied to calculate the weights of the alternative locations. In this method the known data is fully used and the influence of personal factors is avoided. Finally an example is illustrated to prove the method effective.

Original languageEnglish
Title of host publication3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010
Subtitle of host publicationTheoretical Development and Engineering Practice
Pages252-254
Number of pages3
DOIs
Publication statusPublished - 2010 Sept 15
Event3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice - Huangshan, Anhui, China
Duration: 2010 May 282010 May 31

Publication series

Name3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice
Volume2

Conference

Conference3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice
Country/TerritoryChina
CityHuangshan, Anhui
Period10/5/2810/5/31

Keywords

  • AHP
  • Facility location
  • Pure output DEA

ASJC Scopus subject areas

  • Control and Optimization
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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