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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

33. Estimation of Lead Time in the RFID-Enabled Real-Time Shopfloor Production with a Data Mining Model

verfasst von : Ray Y. Zhong, George Q. Huang, Qing-yun Dai, Tao Zhang

Erschienen in: The 19th International Conference on Industrial Engineering and Engineering Management

Verlag: Springer Berlin Heidelberg

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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.

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Metadaten
Titel
Estimation of Lead Time in the RFID-Enabled Real-Time Shopfloor Production with a Data Mining Model
verfasst von
Ray Y. Zhong
George Q. Huang
Qing-yun Dai
Tao Zhang
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
The 19th International Conference on Industrial Engineering and Engineering Management

Print ISBN: 978-3-642-38390-8

Electronic ISBN: 978-3-642-38391-5

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-38391-5_33

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