Affiliation:
1. University of London, UK
Abstract
Data-driven decision-making is the lifeblood of supply chain business processes' smooth execution. Technological development is ushering in the possible improvement of supply chain data-processing architecture. The centralized server-based data-processing system has been dominating industrial supply chain management for a long time with the challenge of scalability, data integrity, and information security. In recent years, the internet of things (IoT) with service-oriented architecture (SOA) and semantic technology has eliminated the drawbacks of server-based centralized working practices. This approach enhances the information processing performance for resource-constrained supply chain operations through semantic data integration and system security enhancement. This chapter presents an IoT with semantic web service-based information system architecture to allow safe data flow along the supply chain networks. Finally, the chapter describes a semantic similarity assessment algorithm to realize the advantage of this architecture.
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