A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology

  • Authors:
  • Ozan Cakir;Mustafa S. Canbolat

  • Affiliations:
  • Management Science/Systems, DeGroote School of Business, McMaster University, 1280 Main St. W, Hamilton, ON, Canada;Management Science/Systems, DeGroote School of Business, McMaster University, 1280 Main St. W, Hamilton, ON, Canada

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2008

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Abstract

We propose an inventory classification system based on the fuzzy analytic hierarchy process (AHP), a commonly used tool for multi-criteria decision making problems. We integrate fuzzy concepts with real inventory data and design a decision support system assisting a sensible multi-criteria inventory classification. We report on a study conducted in a small electrical appliances company and validate the design of the proposed multi-criteria inventory classification system and its underlying fuzzy AHP model.