A new fuzzy goal directed benchmarking for supplier selection

Majid Azadi, Seyed Mostafa Mirhedayatian, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

The success of a supply chain is extremely dependent on evaluation and selection of best suppliers. These decisions are a significant component of production and logistics management for many companies. In this paper, we extend the goal directed benchmarking theory proposed by Stewart (2010) for benchmarking and selecting suppliers in an uncertain environment. This extension is in recognition of the fact that benchmarking for suppliers is more than a pure monitoring process, and includes a component of future planning. In this paper, the proposed model utilises a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of fuzzy data, but at the same time achieving a closer method to long term organisational goals (as distinct from the local performance of individual suppliers). A numerical example is presented to demonstrate the applicability of the proposed approach.

Original languageEnglish
Pages (from-to)321-335
Number of pages15
JournalInternational Journal of Services and Operations Management
Volume14
Issue number3
DOIs
Publication statusPublished - 2013

Keywords

  • Benchmarking
  • Csupplier selection
  • Data envelopment analysis
  • DEA
  • Fuzzy DEA
  • Fuzzy set theory
  • Goal directed benchmarking
  • Supply chain management

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Management of Technology and Innovation

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