Dynamic weights approach for off-line sequencing of supplier selection over a finite planning horizon

Avi Herbon, Shalom Moalem, Haim Shnaiderman, Joseph Templeman

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Purpose: The purpose of this paper is to develop a user-oriented decision-supporting applicable tool for selection of a single supplier out of a group of potential suppliers in a dynamic business environment over a finite planning horizon. Design/methodology/approach: A qualitative and quantitative description of the impact of a change in one or several business environment parameters on current and future supplier choice; the methodology is accompanied by a visual representation of those impacts for the decision maker. The paper presents extended simulation experiments to test the proposed methodology. Findings: A strategy of replacing suppliers over a definite planning horizon based on a forecast of the business environment is significantly (2-9 per cent) more efficient than a strategy of relying on a single leading supplier throughout the planning horizon. This efficiency gain is greater the more the business environment is dynamic. Practical implications: The proposed methodology is applicable to a broad range of service and manufacturing organizations that operate in dynamic business environments and rely on complex purchasing systems. Thanks to its simplicity, it can be applied to very large systems with a broad range of selection and/or environmental parameters. Originality/value: Although the supplier selection process has been extensively studied, the literature still lacks appropriate reference to the effects of a dynamic business environment on this process.

Original languageEnglish
Pages (from-to)434-463
Number of pages30
JournalInternational Journal of Physical Distribution and Logistics Management
Volume42
Issue number5
DOIs
StatePublished - Jun 2012

Keywords

  • Auctions
  • Decision support systems
  • Dynamic weights
  • Purchasing
  • Supplier evaluation
  • Supplier sequencing

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