File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.compind.2015.04.001
- Scopus: eid_2-s2.0-84931574021
- WOS: WOS:000358461300004
Supplementary
- Citations:
- Appears in Collections:
Article: A Mechanised 3D Scanning Method for Item-level Radio Frequency Identification of Palletised Products
Title | A Mechanised 3D Scanning Method for Item-level Radio Frequency Identification of Palletised Products |
---|---|
Authors | |
Keywords | Item-level RFID Batch reading Product identification Mechanised 3D scanning |
Issue Date | 2015 |
Publisher | Elsevier. The Journal's web site is located at http://www.elsevier.com/locate/compind |
Citation | Computers in Industry, 2015, v. 72, p. 36-46 How to Cite? |
Abstract | The automatic, non-line-of-sight characteristics of radio frequency identification (RFID) technology for identifying multiple objects are conducive to full visibility and traceability of individual product items in a supply chain. However, practical implementation of item-level RFID-based applications necessitates solving some critical issues. Among these issues, reading tag data to identify a relatively large number of individual product items, which are usually packed in batches and distributed on pallets, is particularly a bottleneck, because it affects the accuracy and trustworthiness of batch distribution of products and all subsequent logistics operations in the supply chain. Current techniques for batch identification at item-level of palletised products suffer low reading rate and incomplete tag data acquisition, rendering the RFID systems unreliable. We address this issue by proposing a mechanised 3D scanning method for identification of tagged products in large numbers to facilitate supply chain management. The proposed method requires installing RFID readers only in the X-Y plane. The readers scan tagged products in the X and Y directions while the pallet is simultaneously rotated around to be effectively scanned in the Z direction. Different scanning patterns are adopted to alleviate the problems due to randomness of tag orientation and reader collisions. As such, 3D scanning of RFID tags for item-level applications is effectively achieved without incurring much hardware cost. The performance of the proposed method is validated using an RFID-enabled gate-door for identification of palletised apparel products with item-level RFID tagging. Experiment results show that the proposed method can achieve batch reading rates remarkably higher than those reported in literature. Moreover, a correlation between the batch reading rate and the batch density is established. Apparently, the proposed mechanised 3D scanning method for batch identification of item-level tagged product items can substantially enhance the accuracy and reliability of RFID-based supply chain management systems. |
Persistent Identifier | http://hdl.handle.net/10722/211768 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, SH | - |
dc.contributor.author | Yang, B | - |
dc.contributor.author | Cheung, HH | - |
dc.date.accessioned | 2015-07-21T02:10:20Z | - |
dc.date.available | 2015-07-21T02:10:20Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Computers in Industry, 2015, v. 72, p. 36-46 | - |
dc.identifier.uri | http://hdl.handle.net/10722/211768 | - |
dc.description.abstract | The automatic, non-line-of-sight characteristics of radio frequency identification (RFID) technology for identifying multiple objects are conducive to full visibility and traceability of individual product items in a supply chain. However, practical implementation of item-level RFID-based applications necessitates solving some critical issues. Among these issues, reading tag data to identify a relatively large number of individual product items, which are usually packed in batches and distributed on pallets, is particularly a bottleneck, because it affects the accuracy and trustworthiness of batch distribution of products and all subsequent logistics operations in the supply chain. Current techniques for batch identification at item-level of palletised products suffer low reading rate and incomplete tag data acquisition, rendering the RFID systems unreliable. We address this issue by proposing a mechanised 3D scanning method for identification of tagged products in large numbers to facilitate supply chain management. The proposed method requires installing RFID readers only in the X-Y plane. The readers scan tagged products in the X and Y directions while the pallet is simultaneously rotated around to be effectively scanned in the Z direction. Different scanning patterns are adopted to alleviate the problems due to randomness of tag orientation and reader collisions. As such, 3D scanning of RFID tags for item-level applications is effectively achieved without incurring much hardware cost. The performance of the proposed method is validated using an RFID-enabled gate-door for identification of palletised apparel products with item-level RFID tagging. Experiment results show that the proposed method can achieve batch reading rates remarkably higher than those reported in literature. Moreover, a correlation between the batch reading rate and the batch density is established. Apparently, the proposed mechanised 3D scanning method for batch identification of item-level tagged product items can substantially enhance the accuracy and reliability of RFID-based supply chain management systems. | - |
dc.language | eng | - |
dc.publisher | Elsevier. The Journal's web site is located at http://www.elsevier.com/locate/compind | - |
dc.relation.ispartof | Computers in Industry | - |
dc.subject | Item-level RFID | - |
dc.subject | Batch reading | - |
dc.subject | Product identification | - |
dc.subject | Mechanised 3D scanning | - |
dc.title | A Mechanised 3D Scanning Method for Item-level Radio Frequency Identification of Palletised Products | - |
dc.type | Article | - |
dc.identifier.email | Choi, SH: shchoi@hkucc.hku.hk | - |
dc.identifier.email | Cheung, HH: hh.cheung@hku.hk | - |
dc.identifier.authority | Choi, SH=rp00109 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.compind.2015.04.001 | - |
dc.identifier.scopus | eid_2-s2.0-84931574021 | - |
dc.identifier.hkuros | 245269 | - |
dc.identifier.volume | 72 | - |
dc.identifier.spage | 36 | - |
dc.identifier.epage | 46 | - |
dc.identifier.isi | WOS:000358461300004 | - |
dc.publisher.place | USA | - |