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Big Data Application in Supply Chain Management: Scopus Based Literature Review

18 Pages Posted: 9 Jun 2020 Publication Status: Preprint

See all articles by Baha Mohsen

Baha Mohsen

Wayne State University - Industrial & System Engineering

Abstract

For modern industry, supply chain optimization is becoming very critical. To win the competitive edge, companies should be able to optimize its supply chain. Customers are expecting quick order fulfillment and fast delivery in addition to options, styles and features of products. It is expected that companies who meets these expectations will be recording success stories. Big data plays a key role in several areas of supply chain management such as demand predictions, product development, supplying decisions, distribution, and customer feedback. The increasing amount of data exchange by supply chains in manufacturing and service sectors justify the use of big data in supply chain management. This paper outlines research activities review in the field of big data in supply chain management. In addition, it investigates applications of big data in supply chain management, its opportunities, challenges and future trends.

Keywords: Supply chain management, Big data, Analytics, Data Management

Suggested Citation

Mohsen, Baha, Big Data Application in Supply Chain Management: Scopus Based Literature Review. Available at SSRN: https://ssrn.com/abstract=3613716 or http://dx.doi.org/10.2139/ssrn.3613716

Baha Mohsen (Contact Author)

Wayne State University - Industrial & System Engineering ( email )

4815 Fourth St
Detroit, MI 48201
United States

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