Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors

Show simple item record Zhong, Runyang en Xu, C en Chen, C en Huang, GQ en 2017-10-05T20:53:55Z en 2017 en
dc.identifier.citation International Journal of Production Research 55(9):2610-2621 2017 en
dc.identifier.issn 0020-7543 en
dc.identifier.uri en
dc.description.abstract Physical Internet (PI, π) has been widely used for transforming and upgrading the logistics and supply chain management worldwide. This study extends the PI concept into manufacturing shop floors where typical logistics resources are converted into smart manufacturing objects (SMOs) using Internet of Things (IoT) and wireless technologies to create a RFID-enabled intelligent shop floor environment. In such PI-based environment, enormous RFID data could be captured and collected. This study introduces a Big Data Analytics for RFID logistics data by defining different behaviours of SMOs. Several findings are significant. It is observed that task weight is primarily considered in the logistics decision-making in this case. Additionally, the highest residence time occurs in a buffer with the value of 12.17 (unit of time) which is 40.57% of the total delivery time. That implies the high work-in-progress inventory level in this buffer. Key findings and observations are generated into managerial implications, which are useful for various users to make logistics decisions under PI-enabled intelligent shop floors. en
dc.publisher Taylor & Francis en
dc.relation.ispartofseries International Journal of Production Research en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors en
dc.type Journal Article en
dc.identifier.doi 10.1080/00207543.2015.1086037 en
pubs.issue 9 en
pubs.begin-page 2610 en
pubs.volume 55 en
dc.rights.holder Copyright: Taylor & Francis en
pubs.end-page 2621 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 530085 en
dc.identifier.eissn 1366-588X en
pubs.record-created-at-source-date 2017-10-06 en 2015-09-11 en

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