In the actual manufacturing process, dynamic events such as machine fault and order insertion have a serious impact on the efficiency and stability of production scheduling. Rescheduling is one of the key parts for the efficient operation of the intelligent production system, which can effectively organize the processing device, processing materials and production management to ensure the normal operation of the manufacturing process. Therefore, facing the machine fault, this paper proposes an online rescheduling method based on the OPC UA publish and subscribe (PubSub) mechanism and the improved NSGA-II algorithm (INSGA-II). The OPC UA PubSub mechanism is available with online monitoring, notification functions. Combined with the INSGA-II algorithm, the proposed rescheduling method can realize online monitoring of device operating status, generate and deploy corresponding rescheduling plans, so as to minimize the impact of disturbance events on the entire production process. Finally, taking a robotic production line as an example, the feasibility and effectiveness of the proposed method are verified.

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OPC UA PubSub Based Online Rescheduling for Robotic Production Line Under Machine Fault

  • Hong Chen,
  • Xun Ye,
  • Wenjun Xu,
  • Xiaomei Zhang,
  • Yi Tang,
  • Linke Li

摘要

In the actual manufacturing process, dynamic events such as machine fault and order insertion have a serious impact on the efficiency and stability of production scheduling. Rescheduling is one of the key parts for the efficient operation of the intelligent production system, which can effectively organize the processing device, processing materials and production management to ensure the normal operation of the manufacturing process. Therefore, facing the machine fault, this paper proposes an online rescheduling method based on the OPC UA publish and subscribe (PubSub) mechanism and the improved NSGA-II algorithm (INSGA-II). The OPC UA PubSub mechanism is available with online monitoring, notification functions. Combined with the INSGA-II algorithm, the proposed rescheduling method can realize online monitoring of device operating status, generate and deploy corresponding rescheduling plans, so as to minimize the impact of disturbance events on the entire production process. Finally, taking a robotic production line as an example, the feasibility and effectiveness of the proposed method are verified.