smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing

• Published in: Journal of manufacturing systems 2019-07, Vol.52, p.63-75
• Main Authors: Neal, Aaron D., Sharpe, Richard G., Conway, Paul P., West, Andrew A.
• Format: Article
• Language: English
• Subjects: Cyber-physical systems; Industrie 4.0; Intelligent container; Intelligent products; Returnable transit items
• ISSN: 0278-6125; 1878-6642
• DOI: 10.1016/j.jmsy.2019.04.011

•Adding intelligence to Returnable Transit Items (RTIs) can benefit component quality and production visibility.•A prototype, Industry 4.0 RTI has been created using Internet of Things based communication and environmental sensors.•A smart RTI can detect components loaded and as monitor its movement through a factory, including collisions and turns. Cyber-Physical Systems (CPSs) are becoming a significant research focus resulting from advancements in technologies such as the Internet of Things (IoT), Cloud Manufacturing and Intelligent Products. Successful deployment of CPSs has the potential to provide a step change in manufacturing efficiency, flexibility and production yield as envisaged by the fourth industrial revolution or Industry 4.0 paradigm. The realisation of intelligent products and services is in the provisioning of predictive, risk preventative and high-performance manufacturing systems. As part of these manufacturing systems, Returnable Transit Items (RTIs) play a critical role in provisioning robust and efficient means of component (e.g. Work in Progress and finished items) protection and logistics. The research outlined in this paper details how a Returnable Transit Item (RTI) can become an integral part of the Industrie 4.0 vision as an intelligent container that can interact with components, machines and other cyber-physical manufacturing services. This paper discusses a CPS reference architecture for the integration of intelligent containers and presents a hardware and software proof of concept solution suitable for industrial deployments. The paper concludes with feasibility studies utilising the intelligent container for context determination services including the identification of intelligent components and monitoring of logistical handling process (i.e. the detection of collisions, lifting and turns).