posted on 2019-06-07, 09:16authored byAaron D. Neal, Richard Sharpe, Paul ConwayPaul Conway, Andrew A. West
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).
Funding
The EPSRC Grant award No. EP/K014137/1 supported this work financially.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Journal of Manufacturing Systems
Volume
52
Issue
Part A
Pages
63 - 75
Citation
NEAL, A.D. ... et al., 2019. smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing. Journal of Manufacturing Systems, 52, Part A, pp. 63 - 75.
This paper was accepted for publication in the journal Journal of Manufacturing Systems and the definitive published version is available at https://doi.org/10.1016/j.jmsy.2019.04.011.