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A Review of Big Data Analytics for the Internet of Things Applications in Supply Chain Management
Abstract
The internet of things (IoT) presents opportunities that enable communication between virtual and physical objects. It produces new digitized services that improve supply chain performance. Moreover, artificial intelligence (AI) techniques resolve unpredictable, dynamic, and complex global product development and supply chain-related problems. In this operating environment, heterogeneous enterprise applications, either manufacturing or supply chain management, either inside a single enterprise or among network enterprises, require sharing information. Thus, data management and its analytical interpretation have become a significant drivers for management and product development in networked enterprises. This chapter describes an information systems framework for the global product development purpose, and it also highlights how businesses can use business intelligence from gathered data from IoT applications. Finally, the chapter describes important categories of Big Data analytics applications for the supply chain operations reference (SCOR) model, and it also presents a data processing framework for supply chain management (SCM).
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