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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Reviewing the use of big data in supply chain optimization in the USA

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  • Reviewing the use of big data in supply chain optimization in the USA

Israel Osejie Okoduwa 1, *, Bankole Ibrahim Ashiwaju 2, Jeremiah Olawumi Arowoogun 3, Kehinde Feranmi Awonuga 4, Onyeka Franca Asuzu 5 and Ndubuisi Leonard Ndubuisi 6

1 Independent Researcher, England, United Kingdom.
2 Independent Researcher, Lagos, Nigeria.
3 Bharat Serums and Vaccines Limited, Lagos, Nigeria.
4 Independent Researcher, United Kingdom.
5 Dangote Sugar Refinery Plc, Lagos Nigeria.
6 SPACEPOINTE LIMITED, Rivers State, Nigeria.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 033-040
Article DOI: 10.30574/wjarr.2024.21.2.0397
DOI url: https://doi.org/10.30574/wjarr.2024.21.2.0397
 
Received on 23 December 2023; revised on 29 January 2024; accepted on 01 February 2024
 
This paper provides a succinct overview of the review conducted on the utilization of Big Data in supply chain optimization within the United States. The advent of Big Data analytics has revolutionized traditional supply chain management, offering unprecedented opportunities for enhancing efficiency, reducing costs, and improving overall operational performance. This comprehensive review examines the current state of Big Data applications in supply chain optimization, focusing specifically on the context of the United States. The review begins by outlining the fundamental role of Big Data in transforming supply chain processes. It delves into various aspects, including data collection, processing, and analysis, emphasizing their impact on decision-making and strategic planning. Notably, the study highlights real-world examples of successful Big Data implementations within the U.S. supply chain landscape, showcasing how companies have leveraged data-driven insights to streamline operations and gain a competitive edge. Furthermore, the paper explores the challenges associated with the adoption of Big Data in supply chain management. It addresses concerns related to data security, privacy, and the need for advanced technological infrastructure. Additionally, the review considers the organizational and cultural shifts required for successful integration, emphasizing the importance of a holistic approach to implementation. The paper concludes by pointing towards future trends and potential developments in the use of Big Data for supply chain optimization in the U.S. It underscores the evolving nature of technology and its continued impact on reshaping supply chain strategies. The insights derived from this review contribute to a deeper understanding of the current landscape, offering valuable implications for practitioners, researchers, and policymakers engaged in optimizing supply chain processes through the harnessing of Big Data analytics.
 
Big Data; Supply Chain; USA; Optimization; Review
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0397.pdf

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Israel Osejie Okoduwa, Bankole Ibrahim Ashiwaju, Jeremiah Olawumi Arowoogun, Kehinde Feranmi Awonuga, Onyeka Franca Asuzu and Ndubuisi Leonard Ndubuisi. Reviewing the use of big data in supply chain optimization in the USA. World Journal of Advanced Research and Reviews, 2024, 21(2), 033-040. Article DOI: https://doi.org/10.30574/wjarr.2024.21.2.0397

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