A distance‐based decision‐making method to improve multiple criteria ABC inventory classification | Zendy

Fu Yelin | Zendy; Lai Kin Keung | Zendy; Miao Yajun | Zendy; Leung John W.K. | Zendy

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A distance‐based decision‐making method to improve multiple criteria ABC inventory classification

Author(s) -

Fu Yelin,

Lai Kin Keung,

Miao Yajun,

Leung John W.K.

Publication year - 2016

Publication title -

international transactions in operational research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.032

H-Index - 52

eISSN - 1475-3995

pISSN - 0969-6016

DOI - 10.1111/itor.12193

Subject(s) - computer science , scheme (mathematics) , data mining , operations research , artificial intelligence , machine learning , mathematics , mathematical analysis

The present paper extends the Ng‐model for multiple criteria ABC inventory classification based on a distance‐based decision‐making method. The proposed method determines the common weights associated with all rankings of the criteria importance, and then provides a comprehensive scoring scheme by aggregating all rankings. A numerical illustration is presented to compare our computational results with previous studies.

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