Application of decision-making techniques in supplier selection: A systematic review of literature

  • Authors:

  • Junyi Chai;James N. K. Liu;Eric W. T. Ngai

  • Affiliations:

  • Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region;Department of Management & Marketing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 12.06

Visualization

Abstract

Despite the importance of decision-making (DM) techniques for construction of effective decision models for supplier selection, there is a lack of a systematic literature review for it. This paper provides a systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection. By using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches, we finally selected and reviewed 123 journal articles. To examine the research trend on uncertain supplier selection, these articles are roughly classified into seven categories according to different uncertainties. Under such classification framework, 26 DM techniques are identified from three perspectives: (1) Multicriteria decision making (MCDM) techniques, (2) Mathematical programming (MP) techniques, and (3) Artificial intelligence (AI) techniques. We reviewed each of the 26 techniques and analyzed the means of integrating these techniques for supplier selection. Our survey provides the recommendation for future research and facilitates knowledge accumulation and creation concerning the application of DM techniques in supplier selection.