The Impact of Warehouse Management Systems on Supply Chain Resilience and Business Competitiveness in a Rapidly Changing Global Market
List of Authors
Fadhilah Mohd Zahari, Mohamed Suhaimi Yusof, Shahri Abu Seman, Sharifah Nawaitul Masdinar Syed A Rahman
Keyword
Artificial Intelligence (AI), Logistics, Warehouse, Analytics, Internet of Things (IoT)
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.