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Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information


  • Jiewu Leng

    (Xi’an Jiaotong University)

  • Pingyu Jiang

    () (Xi’an Jiaotong University)


Abstract Since discrete manufacturing system (DMS) is a complicated dynamic network that comprises of processes, machines, and work in process, a coherent methodology for performance tracking and sustainable improvement at the system/network level is of great significance for manufacturers to respond rapidly in a mass customization paradigm. Fortunately, the radio frequency identification (RFID) technologies provide us the real-time tracking ability of the production process that suffers unpredictable and recessive disturbances. This paper proposes a dynamic scheduling approach based on multi-layer network metrics of RFID-driven DMS. Firstly, considering the elements of DMS (e.g., parts, manufacturing activities, and equipment) and relationships among them, a DMS model named complex manufacturing network (CMN) is proposed. Then, several multi-layer network metrics of the CMN are defined and analysed. The implications of these metrics lead to a better understanding of the current status and performance of DMS. Thirdly, a dynamic scheduling algorithm using these metrics as heuristic information is proposed to solve multi-resources and independent-task DMS. Finally, a Printing Machine manufacturing system is chosen as an example to illustrate the feasibility of the proposed approach.

Suggested Citation

  • Jiewu Leng & Pingyu Jiang, 0. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-16.
  • Handle: RePEc:spr:joinma:v::y::i::d:10.1007_s10845-017-1301-y
    DOI: 10.1007/s10845-017-1301-y

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    References listed on IDEAS

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