smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing.
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| Title: | smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing. |
|---|---|
| Authors: | Neal, Aaron D.1 (AUTHOR), Sharpe, Richard G.1 (AUTHOR) r.sharpe@lboro.ac.uk, Conway, Paul P.1 (AUTHOR), West, Andrew A.1 (AUTHOR) |
| Source: | Journal of Manufacturing Systems. Jul2019 Part A, Vol. 52, p63-75. 13p. |
| Subjects: | Industry 4.0, Container industry, Manufacturing industries, Cyber physical systems, Manufactured products, Internet of things |
| Abstract: | • 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). [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Manufacturing Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 138151754 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Neal%2C+Aaron+D%2E%22">Neal, Aaron D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharpe%2C+Richard+G%2E%22">Sharpe, Richard G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r.sharpe@lboro.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Conway%2C+Paul+P%2E%22">Conway, Paul P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22West%2C+Andrew+A%2E%22">West, Andrew A.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Manufacturing+Systems%22">Journal of Manufacturing Systems</searchLink>. Jul2019 Part A, Vol. 52, p63-75. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Container+industry%22">Container industry</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+industries%22">Manufacturing industries</searchLink><br /><searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Manufactured+products%22">Manufactured products</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • 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). [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Manufacturing Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jmsy.2019.04.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 63 Subjects: – SubjectFull: Industry 4.0 Type: general – SubjectFull: Container industry Type: general – SubjectFull: Manufacturing industries Type: general – SubjectFull: Cyber physical systems Type: general – SubjectFull: Manufactured products Type: general – SubjectFull: Internet of things Type: general Titles: – TitleFull: smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Neal, Aaron D. – PersonEntity: Name: NameFull: Sharpe, Richard G. – PersonEntity: Name: NameFull: Conway, Paul P. – PersonEntity: Name: NameFull: West, Andrew A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2019 Part A Type: published Y: 2019 Identifiers: – Type: issn-print Value: 02786125 Numbering: – Type: volume Value: 52 Titles: – TitleFull: Journal of Manufacturing Systems Type: main |
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