An integration of AHP approach and Bayes classification algorithm in supplier selection

Tung Sun Chan, Sai Ho Chung, J. C.L. Chow, B. Niu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Weight of criteria can only be changed through discussion or analysis of experts under traditional supplier selection method, which brings up two problems: (1) human effect problem and (2) incapability in timely decision making on updates of weights. In this paper, a new supplier selection method based on integration of Analytic Hierarchy Process, the Bayesian Classifier Algorithm and dynamic probabilities (AHP-BCA) is proposed. The method makes predictions with the probabilities of occurrences of criteria values based on historical records to avoid any human effects in decision making. It is also equipped with an instant self-update function to instantly update the probability values with new data, and be ready for next calculation. A simulation experiment is conducted to compare the performance of the proposed approach with a remarkable traditional approach in literature with historical data. Results show that the proposed approach can outperform the traditional one in achieving better selection results.
Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages216-220
Number of pages5
ISBN (Electronic)9781479909865
DOIs
Publication statusPublished - 1 Jan 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 10 Dec 201313 Dec 2013

Conference

Conference2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Country/TerritoryThailand
CityBangkok
Period10/12/1313/12/13

Keywords

  • Analytic Hierarchy Process
  • Bayesian Algorithm
  • Supplier Selection

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this