Big Data for Supply Chain Management in Industry 4.0 context: A comprehensive survey
Résumé
The world now knows a great evolution and explosion of new technologies in many domains that change our lives every day. Obviously, this leads also to the emergence of a new generation of industries commonly known as industry 4.0. Big Data is one of those great technologies, which has considered as the backbone of this type of industry. Hence, that will arise new challenges for companies, and lead them to think differently in the way they design, manage and automate their supply chains processes in order to compete better in the global market and improve their business. The competition within the market space has evolved from ”firm versus firm” towards ”supply chain versus supply chain”. During supply chain operations a great amount of data are generated. Consequently, Big Data Analytics capabilities could be considered the main key to improving data-driven decision-making. Additionally, it enables the development of innovative ways that improve business efficiency and effectiveness from these vast amounts of data. Moreover, it provides a 360-degree view of company operations. This review paper is interested in showing the importance of Big Data and Big Data Analytics in the Smart Supply Chain Management. More precisely, how they contribute in making SCM entities (Procurement, Manufacturing, Logistic/Transportation, Warehousing and Demand management) smarter to be suitable in industry 4.0 context.