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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.