2013
DOI: 10.1504/ijlsm.2013.052744
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ABC inventory classification via linear discriminant analysis and ranking methods

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Cited by 11 publications
(5 citation statements)
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“…The most recent literature indicates a focus on multiple criteria inventory classification techniques. Hadad and Keren () employ linear discriminant analysis and data envelopment analysis in the context of ABC inventory classification. Millstein et al.…”
Section: Introductionmentioning
confidence: 99%
“…The most recent literature indicates a focus on multiple criteria inventory classification techniques. Hadad and Keren () employ linear discriminant analysis and data envelopment analysis in the context of ABC inventory classification. Millstein et al.…”
Section: Introductionmentioning
confidence: 99%
“… 1992 ; Partovi and Burton 1993 ; Scala et al. 2013 ; Gómez 2019 ), as well as the methods for defining the thresholds for classification (Hadad and Keren 2013 ; Hatefi et al. 2014 ) identifying the demand pattern and adjusting the forecasting model (Vidal Holguín 2010 ) identification and selection of the inventory control system (Vidal Holguín 2010 ; Pérez-Vergara et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“… 1992 ; Partovi and Burton 1993 ; Scala et al. 2013 ; Gómez 2019 ), as well as the methods for defining the thresholds for classification (Hadad and Keren 2013 ; Hatefi et al. 2014 )…”
Section: Literature Reviewmentioning
confidence: 99%
“…On the other hand, several authors follow two main trends to determine the thresholds for the classification of products in each category A, B, or C, (i) those that set them on a percentage basis of the quantity of products, most of them based on ranking methods [19,[23][24][25][26], and (ii) those who propose them based on advanced methods, such as sorting methods or artificial intelligence (AI) methods [27][28][29][30][31][32][33]. e choice of the path forward will depend on the skill and knowledge of the experts, since, in practice, accurate data and criteria affecting ABC classification are not always available.…”
Section: Multicriteria Abc Classificationmentioning
confidence: 99%