skip to main content
10.1145/3535782.3535825acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmsieConference Proceedingsconference-collections
research-article

Study on Manufacturing Execution System of SMT Manufacturing Workshop Based on RFID

Authors Info & Claims
Published:18 July 2022Publication History

ABSTRACT

To use surface mounting technology (SMT) efficiently, and to enhance the efficiency of SMT equipment, this paper proposed a manufacturing execution system based on RFID in the SMT workshop to increase productivity and shorten the production cycle, achieving Workshop visual and fine control. Based on analyzing production processes and business requirements in the workshop, the functional model and the system architecture based on RFID are designed. RFID-enabled real-time data acquisition technology and manufacturing process monitoring technology are systematically studied. Finally, an example of an electronic enterprise in Guangzhou illustrates the feasibility and effectiveness of the manufacturing execution system proposed.

References

  1. Ye Jianfang . Research on production planning and production control method for electronic manufacturing industry Quasi-Assemble-to-order environment [D].Hangzhou:Zhejiang University, 2011.1-15(in Chinese).Google ScholarGoogle Scholar
  2. Zhang Yingfeng, Zhao Xibin, Sun Shudong, Implementing method and key technologies for IOT-based manufacturing execution system[J]. Computer Integrated Manufacturing Systems, 2012,18(12):2634-2642(in Chinese).Google ScholarGoogle Scholar
  3. DAI Q Y, ZHONG R Y, George Q. Huang etal. Radio Frequency Identification-enabled Real-time Manufacturing Execution System: A Case Study in an Automotive Part Manufacture [J].International Journal of Computer Integrated Manufacturing, 2012,25(1/3):51-65.Google ScholarGoogle Scholar
  4. ZHONG R Y, DAI Q Y, QU T, RFID-enabled real-time manufacturing execution system for mass-customization production [J].Robotics and Computer-IntegratedManufacturing,2013, 29(2):283-292.Google ScholarGoogle Scholar
  5. CHEN J C,CHENG C H, HUANG P T B. Supply chain management with lean production and RFID application: a case study[J]. Expert Systems with Applications,2013,40(9):3389-3397.Google ScholarGoogle Scholar
  6. XU Jing. Fitting the lean manufacturing iot system research of the ship[D].Guangzhou: Guangdong University of Technology,2014(in Chinese) .Google ScholarGoogle Scholar
  7. LIU Jihong, YU Jie,ZHUYuming.Technical state control technology of aerospace product in production process based on Internet of manufacturing-related things[J].Computer Integrated Manufacturing Systems,2015,21(7):1781-1789(in Chinese).Google ScholarGoogle Scholar
  8. JIA R J. Design and Implementation of SOA-based MES System [D]. Suzhou:Suzhou University, 2011:27-29(in Chinese).Google ScholarGoogle Scholar
  9. T.S.López, D.C. Ranasinghe, B. Patkai, Taxonomy Technology and Applications of Smart Objects [J]. Information Systems Frontiers, 2009:1-20.Jason Jerald. 2015. The VR Book: Human-Centered Design for Virtual Reality. Association for Computing Machinery and Morgan & Claypool.Google ScholarGoogle Scholar
  10. C.Goumopoulos, A.Kameas, P. Hellas.Smart Objects as Components of UbiComp Applications [J]. International Journal of Multimedia and Ubiquitous Engineering, 2009, 4(3):1-20.Google ScholarGoogle Scholar
  11. M.Gruninger, S.Shapiro, M.S.Fox, Combining RFID with Ontologies to Create Smart Objects[J]. International Journal of Production Research, 2010, 48(9):2633-2654.Google ScholarGoogle ScholarCross RefCross Ref
  12. Zheng Linjiang.Smart object-based Agile Production Management for Mixed-model Assembly Line [D].Chongqing:Chongqing University, 2010(in Chinese).Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    MSIE '22: Proceedings of the 4th International Conference on Management Science and Industrial Engineering
    April 2022
    497 pages
    ISBN:9781450395816
    DOI:10.1145/3535782

    Copyright © 2022 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 July 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format