African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6801

Full Length Research Paper

Applying fuzzy-MSGP approach for supplier evaluation and selection in food industry

       Chin-Nung Liao1*, Yan-Kai Fu1, Yung-Cheng Chen1,2 and I-Liang Chih1
1Department of Business Administration, China University of Science and Technology, 245, Sec. 3, Academia Road, Nankang, Taipei, 115, Taiwan (R.O.C.). 2Department of Business Administration, National Taipei University, 151, University Road, San Shia District, New Taipei City, 23741 Taiwan (R.O.C.).
Email: [email protected]

  •  Published: 04 February 2010


Supplier selection is an important issue in food supply chain management (SCM). In previous research, the food industry generally lacks a formal reference approach for supplier’s selection in agricultural products. The key purpose of this study is to develop an integrated fuzzy multiple criteria decision-making (MCDM) model to select supplier. The advantage of this method is its consideration of both qualitative and quantitative criteria, which allows decision makers (DMs) to set multiple segment aspiration levels for supplier selection. In addition, this method will guide DMs to evaluate supplier by taking into account the tangible and intangible resource under firm purchase strategy. A numerical illustration of application is also presented by using a food manufacturer.


Key words: Techniques for order preference by similarity to ideal solution (TOPSIS), multi-segment goal programming (MSGP), supplier selection, supply chain management (SCM), food industry.