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Graduation manufacturing system: synchronization with IoT-enabled smart tickets

Author

Listed:
  • Peng Lin

    (The University of Hong Kong)

  • Leidi Shen

    (The University of Hong Kong)

  • Zhiheng Zhao

    (The University of Hong Kong
    Nanjing University of Posts and Telecommunications)

  • George Q. Huang

    (The University of Hong Kong)

Abstract

In the context of card-based control systems (CCSs), simple and effective control for hybrid flow shop are lacking. This paper aims at filling the gap by presenting a new CCS—graduation manufacturing system (GMS) by analogy to the ticket queuing system of graduation ceremony. Firstly, three kinds of tickets, namely the job tickets (JTs), setup tickets (STs) and operation tickets (OTs) are designed for controlling work in process, setup and preventing disturbances respectively. Secondly, to realize the automatic data collection and material flow control, internet of things-enabled smart gateways and smart tickets are developed. The smart gateways and smart tickets work together to automatically generate, dispatch and use the three kinds of tickets. Thirdly, mobile cloud services for scheduling and execution are presented to provide the real-time mobile visibility, facilitate decision-making for supervisors and daily operations for workers. Finally, mechanisms and scheduling methods for optimizing the production synchronization are proposed under GMS.

Suggested Citation

  • Peng Lin & Leidi Shen & Zhiheng Zhao & George Q. Huang, 2019. "Graduation manufacturing system: synchronization with IoT-enabled smart tickets," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2885-2900, December.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:8:d:10.1007_s10845-018-1429-4
    DOI: 10.1007/s10845-018-1429-4
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    References listed on IDEAS

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    Cited by:

    1. Liu, Yu & Zhang, Qin & Ouyang, Zhiyuan & Huang, Hong-Zhong, 2021. "Integrated production planning and preventive maintenance scheduling for synchronized parallel machines," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Fernando José Gómez Paredes & Moacir Godinho Filho & Matthias Thürer & Nuno O. Fernandes & Charbel José Chiappeta Jabbour, 2022. "Factors for choosing production control systems in make-to-order shops: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 639-674, March.
    3. Mei Li & Gai-Ge Wang & Helong Yu, 2021. "Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem," Mathematics, MDPI, vol. 9(18), pages 1-30, September.
    4. Guo, Daqiang & Li, Mingxing & Lyu, Zhongyuan & Kang, Kai & Wu, Wei & Zhong, Ray Y. & Huang, George Q., 2021. "Synchroperation in industry 4.0 manufacturing," International Journal of Production Economics, Elsevier, vol. 238(C).

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