The Use of Big Data Analytics in Supply Chain Optimization

Claire Niyonzima K.

Faculty of Engineering Kampala International University Uganda

ABSTRACT

In recent years, the adoption of big data analytics has revolutionized supply chain management by enhancing decision-making processes and optimizing operations. This paper explores the integration of big data analytics in supply chain optimization, emphasizing its impact on improving delivery time, cost efficiency, customer satisfaction, and flexibility. The study provides an overview of the foundational principles of big data analytics and its application in supply chain management, highlighting the challenges and opportunities associated with its implementation. Through a comprehensive review of existing literature and case studies, the paper discusses the potential benefits of big data-driven supply chain strategies and outlines future research directions aimed at addressing the dynamic complexities of modern supply chains.

Keywords: Big Data Analytics, Supply Chain Optimization, Decision Support Systems, Supply Chain Management, Industry 4.0.

CITATION: Claire Niyonzima K. The Use of Big Data Analytics in Supply Chain Optimization. Research Output Journal of Engineering and Scientific Research, 2024 3(2): 37-40