A new goal-directed benchmarking for supplier selection in the presence of undesirable outputs

Majid Azadi, Reza Farzipoor Saen, Kamyar Hosseinzadeh Zoroufchi

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Purpose: In this paper, the authors extend the goal-directed benchmarking theory proposed by Stewart for benchmarking and selecting suppliers. 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. The paper aims to discuss these issues. Design/methodology/approach: In this paper, the proposed model utilizes a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of undesirable outputs, but at the same time achieving a closer method to long-term organizational goals (as distinct from the local performance of individual suppliers). Findings: The contributions of the current paper are as follows: the proposed model considers undesirable outputs in the context of goal-directed benchmarking. The proposed model does not demand weights from the decision maker. The proposed model can be easily computerized, enabling it to serve as a decision making tool to assist decision makers. For the first time, the proposed model is applied for the supplier selection and benchmarking. Originality/value: To the best of knowledge of the authors, there is not any reference that discusses supplier selection problem and benchmarking in the presence of undesirable outputs in the context of goal-directed benchmarking.

Original languageEnglish
Pages (from-to)314-328
Number of pages15
Issue number3
Publication statusPublished - Apr 2014


  • Benchmarking
  • Data envelopment analysis

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management

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