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A regression-based improvement to the multiple criteria ABC inventory classification analysis

Author

Listed:
  • Giannis Karagiannis

    (University of Macedonia)

  • Suzanna M. Paleologou

    (Aristotle University of Thessaloniki)

Abstract

The aim of this paper is to propose a regression-based approach for obtaining a set of weights for multi-criteria ABC inventory analysis, which differ across classification criteria but are common across inventory items and follow a predetermined descending ordering scheme regarding the relative importance of classification criteria. The proposed alternative is based on the Inequality Constrained Least Squared model and is to be compared with the existing linear and non-linear programming models available in the literature.

Suggested Citation

  • Giannis Karagiannis & Suzanna M. Paleologou, 2021. "A regression-based improvement to the multiple criteria ABC inventory classification analysis," Annals of Operations Research, Springer, vol. 306(1), pages 369-382, November.
    • Handle: RePEc:spr:annopr:v:306:y:2021:i:1:d:10.1007_s10479-020-03788-1
    DOI: 10.1007/s10479-020-03788-1
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    References listed on IDEAS

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