The Impact of Warehouse Management Systems on Supply Chain Resilience and Business Competitiveness in a Rapidly Changing Global Market

Mohamed Suhaimi Yusof and Sharifah Nawaitul Masdinar Syed A Rahman and Shahri Abu Seman and Fadhilah Mohd Zahari (2025) The Impact of Warehouse Management Systems on Supply Chain Resilience and Business Competitiveness in a Rapidly Changing Global Market. International Journal of Business and Technology Management, 7 (2). pp. 332-345. ISSN 2682-7646

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Abstract

Warehouse Management Systems (WMS) have emerged as a crucial tool in optimizing warehouse operations, enhancing efficiency, and improving overall supply chain performance. The integration of advanced technologies such as automation, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) has revolutionized inventory management, order fulfillment, and logistics coordination. This study examines the role of WMS in modern warehouse operations, highlighting its benefits in improving inventory accuracy, reducing operational costs, and increasing responsiveness to market demands. Additionally, the research identifies critical challenges associated with WMS implementation, including system integration complexities, workforce adaptation, cybersecurity risks, and sustainability concerns. The findings underscore the necessity for scalable and flexible WMS solutions that align with evolving industry demands and technological advancements. Furthermore, the study discusses emerging trends in warehouse management, such as blockchain technology, digital twins, and predictive analytics, which are expected to shape the future of logistics operations. The study concludes that businesses must strategically invest in WMS innovations to enhance warehouse efficiency, ensure supply chain resilience, and maintain a competitive edge in the global market.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence (AI), Logistics, Warehouse, Analytics, Internet of Things (IoT)
Divisions:	Faculty of Business and Accountancy (FABA)
Depositing User:	LIBRARY2 UPTM
Date Deposited:	23 Sep 2026 01:12
Last Modified:	23 Sep 2026 01:12
URI:	http://eprints.uptm.edu.my/id/eprint/6222

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