A microservice-based framework for integrating IoT management platforms, semantic and AI services for supply chain management

With the usage of technologies like the Internet of Things and Cloud, spanning across the spectrum of manufacturing, production and distribution, typical supply chain management (SCM) systems rely on a multitude of services for support. The aim of this paper is to present an integrated system microservice architecture and implementation, consuming and semantically annotating data feeds from online systems, while performing post-processing tasks such as supply chain monitoring, goods location analysis and estimated delays. Suitable application code programmed through intuitive workflow-programming based structures is also injected while the approach is validated through a set of deployment scenarios. (C) 2019 The Korean Institute of Communications and Information Sciences (KICS). Publishing services by Elsevier B.V.