Fuzzy inventory models: A comprehensive review

Ehsan Shekarian; Nima Kazemi; Salwa Hanim Abdul-Rashid; Ezutah Udoncy Olugu

doi:10.1016/j.asoc.2017.01.013

Fuzzy inventory models: A comprehensive review

Ehsan Shekarian (Corresponding author), Nima Kazemi, Salwa Hanim Abdul-Rashid, Ezutah Udoncy Olugu

Research output: Contribution to journal › Article › Academic › peer-review

36 Citations (Scopus)

Abstract

Over the years since the advancement of inventory management and fuzzy set theories, a vast number of studies have been published to integrate these concepts. Nonetheless, no comprehensive and systematic literature review can be found that analyzed the studies in this research stream. It motivated us to conduct this survey as a systematic and comprehensive review in the field of fuzzy inventory management to identify major achievements attained so far and shed light on future directions. First, the earlier review papers are presented to reveal the necessity of this study, and then methodology applied in collecting sample papers is described, followed by an in-depth analysis of the papers. Totally, a sample of 210 papers is identified and classified according to the common characteristics of the models. Several aspects of the models are assessed that led to identification of some areas overlooked by researchers so far.

Original language	English
Pages (from-to)	588-621
Number of pages	34
Journal	Applied Soft Computing
Volume	55
DOIs	https://doi.org/10.1016/j.asoc.2017.01.013
Publication status	Published - 1 Jun 2017
Externally published	Yes

Keywords

Inventory
EOQ
EPQ
Fuzzy set theory
Review

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title = "Fuzzy inventory models: A comprehensive review",

abstract = "Over the years since the advancement of inventory management and fuzzy set theories, a vast number of studies have been published to integrate these concepts. Nonetheless, no comprehensive and systematic literature review can be found that analyzed the studies in this research stream. It motivated us to conduct this survey as a systematic and comprehensive review in the field of fuzzy inventory management to identify major achievements attained so far and shed light on future directions. First, the earlier review papers are presented to reveal the necessity of this study, and then methodology applied in collecting sample papers is described, followed by an in-depth analysis of the papers. Totally, a sample of 210 papers is identified and classified according to the common characteristics of the models. Several aspects of the models are assessed that led to identification of some areas overlooked by researchers so far.",

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