A study on organizing warehouse management

Purpose – This paper investigates how warehouse management, understood as a set of planning andcontrol decisions and procedures, is influenced by task complexity (TC) and market dynamics (MD).Design/methodology/approach – A multi-variable conceptual model, developed from existing literature.Findings – The study identifies TC and MD as key drivers of warehouse management, impacting planningextensiveness (PE), decision rule complexity, and control sophistication. Additionally, TC is found to be aprimary factor in determining the specificity of warehouse management systems (WMS).Research limitations/implications – Future research could test the model in different regions and furtherrefine the measurement of core warehouse management dimensions.Practical implications – Warehouses can be characterized by different levels of TC and MD, which helpsmanagers identify essential functionalities and select appropriate WMS software for their operations.Originality/value – This paper defines and measures the core dimensions of warehouse management,tests their impact, and assesses how these drivers influence WMS specificity. It also highlights that PE inproduction warehouses is influenced by different factors compared to distribution centers

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-01
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.39807
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A study on organizing warehouse management

Adeline Jerome, Mrs . Nagalakshmi M -
International Journal For Multidisciplinary Research
Advanced Manufacturing and Logistics Optimization
article

A study on organizing warehouse management

Adeline Jerome, Mrs . Nagalakshmi M -
article en

Abstract

Purpose – This paper investigates how warehouse management, understood as a set of planning andcontrol decisions and procedures, is influenced by task complexity (TC) and market dynamics (MD).Design/methodology/approach – A multi-variable conceptual model, developed from existing literature.Findings – The study identifies TC and MD as key drivers of warehouse management, impacting planningextensiveness (PE), decision rule complexity, and control sophistication. Additionally, TC is found to be aprimary factor in determining the specificity of warehouse management systems (WMS).Research limitations/implications – Future research could test the model in different regions and furtherrefine the measurement of core warehouse management dimensions.Practical implications – Warehouses can be characterized by different levels of TC and MD, which helpsmanagers identify essential functionalities and select appropriate WMS software for their operations.Originality/value – This paper defines and measures the core dimensions of warehouse management,tests their impact, and assesses how these drivers influence WMS specificity. It also highlights that PE inproduction warehouses is influenced by different factors compared to distribution centers

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 92%
Advanced Manufacturing and Logistics Optimization
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A study on organizing warehouse management — Adeline Jerome, Mrs . Nagalakshmi M - · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS