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- Publisher Website: 10.1007/978-3-642-38391-5_33
- Scopus: eid_2-s2.0-84891554242
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Conference Paper: Estimation of lead time in the RFID-enabled real-time shopfloor production with a data mining model
Title | Estimation of lead time in the RFID-enabled real-time shopfloor production with a data mining model |
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Authors | |
Keywords | Data mining Lead time Radio frequency identification (RFID) Real-time Shopfloor production |
Issue Date | 2013 |
Publisher | Springer-Verlag Berlin Heidelgerg. |
Citation | The 19th International Conference on Industrial Engineering and Engineering Management, ChangSha, China, 27-29 October 2012. In Conference Proceedings, 2013, Chapter 33, p. 321-331 How to Cite? |
Abstract | Lead time estimation (LTE) is difficult to carry out, especially within the RFID-enabled real-time manufacturing shopfloor environment since large number of factors may greatly affect its precision. This paper proposes a data mining approach with four steps each of which is equipped with suitable mathematical models to analysis the LTE from a real-life case and then to quantitatively examine its key impact factors such as processing routine, batching strategy, scheduling rules and critical parameters of specification. Experiments are carried out for this purpose and results imply that batching strategy, scheduling rules and two specification parameters largely influence the LTE, while, processing routine has less impact in this case. |
Persistent Identifier | http://hdl.handle.net/10722/189941 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Zhong, RY | en_US |
dc.contributor.author | Huang, GQ | en_US |
dc.contributor.author | Dai, QY | en_US |
dc.contributor.author | Zhang, T | en_US |
dc.date.accessioned | 2013-09-17T15:03:11Z | - |
dc.date.available | 2013-09-17T15:03:11Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 19th International Conference on Industrial Engineering and Engineering Management, ChangSha, China, 27-29 October 2012. In Conference Proceedings, 2013, Chapter 33, p. 321-331 | en_US |
dc.identifier.isbn | 978-3-642-38390-8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/189941 | - |
dc.description.abstract | Lead time estimation (LTE) is difficult to carry out, especially within the RFID-enabled real-time manufacturing shopfloor environment since large number of factors may greatly affect its precision. This paper proposes a data mining approach with four steps each of which is equipped with suitable mathematical models to analysis the LTE from a real-life case and then to quantitatively examine its key impact factors such as processing routine, batching strategy, scheduling rules and critical parameters of specification. Experiments are carried out for this purpose and results imply that batching strategy, scheduling rules and two specification parameters largely influence the LTE, while, processing routine has less impact in this case. | - |
dc.language | eng | en_US |
dc.publisher | Springer-Verlag Berlin Heidelgerg. | - |
dc.relation.ispartof | The 19th International Conference on Industrial Engineering and Engineering Management: assistive technology of industrial engineering | en_US |
dc.subject | Data mining | - |
dc.subject | Lead time | - |
dc.subject | Radio frequency identification (RFID) | - |
dc.subject | Real-time | - |
dc.subject | Shopfloor production | - |
dc.title | Estimation of lead time in the RFID-enabled real-time shopfloor production with a data mining model | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhong, RY: zhongzry@hku.hk | en_US |
dc.identifier.email | Huang, GQ: gqhuang@hku.hk | en_US |
dc.identifier.authority | Huang, GQ=rp00118 | en_US |
dc.identifier.doi | 10.1007/978-3-642-38391-5_33 | - |
dc.identifier.scopus | eid_2-s2.0-84891554242 | - |
dc.identifier.hkuros | 224414 | en_US |
dc.identifier.spage | 321 | en_US |
dc.identifier.epage | 331 | en_US |
dc.publisher.place | Germany | - |
dc.customcontrol.immutable | sml 131101 | - |