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Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data

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Abstract

Radio frequency identification (RFID) has been widely used in manufacturing field and created a ubiquitous production environment, where advanced production planning and scheduling (APS) might be enabled. Within such environment, APS usually requires standard operation times (SOTs) and dispatching rules which have been obtained from time studies or based on past experiences. Wide variations exist and frequently cause serious discrepancies in executing plans and schedules. This paper proposes a data mining approach to estimate realistic SOTs and unknown dispatching rules from RFID-enabled shopfloor production data. The approach is evaluated by real-world data from a collaborative company which has been used RFID technology for supporting its shopfloor production over seven years. The key impact factors on SOTs are quantitatively examined. A reference table with the mined precise and practical SOTs is established for typical operations and suitable dispatching rules are labled as managerial implicities, aiming at improving the quality and stability of production plans and schedules.

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Acknowledgments

Authors would like to acknowledge 2009 Guangdong Modern Information Service Fund (GDIID2009IS048), 2010 Guangdong Department of Science and Technology Funding (2010B050100023), National Natural Science Foundation of China (61074146), Key Laboratory of Internet of Manufacturing Things Technology and Engineering of Development and Reform Commission of Guangdong Province, and International Collaborative Project of Guangdong High Education Institution (gjhz1005).

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Authors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China

    Ray Y. Zhong & George Q. Huang

  2. School of Information Engineering, Guangdong University of Technology, Guangzhou, China

    Q. Y. Dai

  3. Huaiji Dengyun Auto-parts (Holding) Co., Ltd., Huaiji, Zhaoqing, Guangdong, China

    T. Zhang

Authors
  1. Ray Y. Zhong
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  2. George Q. Huang
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  3. Q. Y. Dai
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  4. T. Zhang
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Corresponding author

Correspondence to George Q. Huang.

Appendix

Appendix

See Tables 8, 9 and 10.

Table 8 Data samples for mining SOTs
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Table 9 RFID-enabled dispatching list
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Table 10 SOTs for typical processes under specific product
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Zhong, R.Y., Huang, G.Q., Dai, Q.Y. et al. Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data. J Intell Manuf 25, 825–843 (2014). https://doi.org/10.1007/s10845-012-0721-y

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  • DOI: https://doi.org/10.1007/s10845-012-0721-y

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