Deteriorating inventory models: a comprehensive review

• Provides a comprehensive review of deteriorating inventory systems. • Reviews the recent modeling advances in deteriorating inventory management. • Explores sustainability and technological innovations in inventory control. • Synthesizes key applications while evaluating research gaps to guide future studies. • Proposes a research agenda to address emerging challenges in inventory management. This paper provides a comprehensive review of deteriorating inventory models, including emerging topics from peer-reviewed research articles published between January 2016 and December 2024. By employing a thorough search strategy and narrative synthesis, this study analyzes the literature, classifies methodologies, and identifies research trends. Building on the work of Janssen et al. (2016) , this review incorporates adaptive, data-driven inventory systems that balance operational efficiency, economic objectives, environmental responsibility, and practical applications.

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Publication Details

Journal
Computers & Industrial Engineering
Published
2026-04-01
DOI
https://doi.org/10.1016/j.cie.2026.111993
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Deteriorating inventory models: a comprehensive review

Mohamad Y. Jaber, Mohammad Asghari, Cory Searcy, Hamid Afshari
Computers & Industrial Engineering
Supply Chain and Inventory Management
article

Deteriorating inventory models: a comprehensive review

Mohamad Y. Jaber, Mohammad Asghari, Cory Searcy, Hamid Afshari
article en

Abstract

• Provides a comprehensive review of deteriorating inventory systems. • Reviews the recent modeling advances in deteriorating inventory management. • Explores sustainability and technological innovations in inventory control. • Synthesizes key applications while evaluating research gaps to guide future studies. • Proposes a research agenda to address emerging challenges in inventory management. This paper provides a comprehensive review of deteriorating inventory models, including emerging topics from peer-reviewed research articles published between January 2016 and December 2024. By employing a thorough search strategy and narrative synthesis, this study analyzes the literature, classifies methodologies, and identifies research trends. Building on the work of Janssen et al. (2016) , this review incorporates adaptive, data-driven inventory systems that balance operational efficiency, economic objectives, environmental responsibility, and practical applications.

Computers & Industrial EngineeringVol. 216
Dalhousie University (CA), University of Toronto (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 24%
Supply Chain and Inventory Management
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