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Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals

Author

Listed:
  • Jian Chen

    (Nanjing University of Aeronautics and Astronautics
    The University of Hong Kong)

  • Meilin Wang

    (The University of Hong Kong
    Guangdong University of Technology)

  • Xiang T. R. Kong

    (The University of Hong Kong)

  • George Q. Huang

    (The University of Hong Kong)

  • Qinyun Dai

    (Guangdong Polytechnical Normal University)

  • Guoqiang Shi

    (State Key Laboratory of Intelligent Manufacturing System Technology)

Abstract

Generally, order punctuality has received plenty of attention by manufacturers in order fulfillment. In order fabrication, jobs from a customer are often separately processed in dispersed manufacturing resources, such as different machines, facilities, or factories. This leads to the difficulties of processing customer orders in a simultaneous manner. This paper proposes a concept of manufacturing synchronization (MfgSync) and measures it from the perspective of simultaneity and punctuality. We study MfgSync of scheduling dynamic arrival orders in a hybrid flowshop. To deal with the dynamic order arrival environment, we schedule the coming orders in a periodic manner so that the dynamic scheduling problem is decomposed into a series of continuous static sub-problems. A base model for each sub-problem is mathematically formulated to minimize the simultaneity of order fabrication measured by mean longest waiting duration considering the order punctuality constraint. We then present a solution algorithm consisting of a periodic scheduling policy and a modified genetic algorithm. Numerical studies demonstrate the effectiveness of the proposed approach. The results also show that bottleneck position has a considerable impact on MfgSync, and we can obtain better MfgSync for the systems with entrance bottlenecks compared to middle and exist bottlenecks. And it is suggested to choose a larger decision interval in off season compared to peak season.

Suggested Citation

  • Jian Chen & Meilin Wang & Xiang T. R. Kong & George Q. Huang & Qinyun Dai & Guoqiang Shi, 2019. "Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2659-2668, October.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:7:d:10.1007_s10845-017-1295-5
    DOI: 10.1007/s10845-017-1295-5
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    References listed on IDEAS

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    Cited by:

    1. Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang, 2022. "Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1355-1372, June.
    2. 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).
    3. 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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