A new algorithm for ranking suppliers in volume discount environments

Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Purchasing is one of the most crucial and vital activities of business, as it has a significant impact on finance, operations and competitiveness of the organization. Many organizations are now allocating more resources for outsourcing activities to increase their competitive position. Selecting an appropriate supplier for outsourcing is now one of the most important decisions of the purchasing department. This decision generally depends on a number of different criteria. On the other hand, to encourage the buyers to order more, suppliers usually offer volume discounts. To rank suppliers in volume discount environments in the presence of both cardinal and ordinal data, this paper proposes an innovative algorithm, which is based on Minimax Regret-based Approach (MRA). A numerical example demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)341-358
Number of pages18
JournalAsia Pacific Management Review
Volume15
Issue number3
Publication statusPublished - Sep 2010

Keywords

  • Imprecise data envelopment analysis, Supplier ranking, minimax regret-based approach, Volume discount, Supply chain

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management

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