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Information Journal Paper

Title

USING DEA TO COMPUTE MOST FAVOURABLE AND LEAST FAVOURABLE SETS OF WEIGHTS IN ABC INVENTORY CLASSIFICATION

Pages

  329-337

Abstract

 Inventory classification using ABC analysis is one of the most widely employed techniques in organizations. The need to consider multiple criteria for inventory classification is stressed in the literature. A DEA approach is proposed in this paper for computing most favourable and least favourable sets of weights in multiple-criteria inventory classification. To illustrate the model capability the proposed methodology is applied to a real data set consisting of the 47 items.

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    Cite

    APA: Copy

    ALIKHANI KOOPAEI, J., & HADI VENCHEH, A.. (2010). USING DEA TO COMPUTE MOST FAVOURABLE AND LEAST FAVOURABLE SETS OF WEIGHTS IN ABC INVENTORY CLASSIFICATION. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 2(4), 329-337. SID. https://sid.ir/paper/605726/en

    Vancouver: Copy

    ALIKHANI KOOPAEI J., HADI VENCHEH A.. USING DEA TO COMPUTE MOST FAVOURABLE AND LEAST FAVOURABLE SETS OF WEIGHTS IN ABC INVENTORY CLASSIFICATION. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2010;2(4):329-337. Available from: https://sid.ir/paper/605726/en

    IEEE: Copy

    J. ALIKHANI KOOPAEI, and A. HADI VENCHEH, “USING DEA TO COMPUTE MOST FAVOURABLE AND LEAST FAVOURABLE SETS OF WEIGHTS IN ABC INVENTORY CLASSIFICATION,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 2, no. 4, pp. 329–337, 2010, [Online]. Available: https://sid.ir/paper/605726/en

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