• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (14): 215-224.doi: 10.3901/JME.2019.14.215

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Research of Queuing Network Modelling of Human-machine Interference by Considering Human Error

KONG Fansen1,2, BAI Xiaogang1,2, LI Congshuang1,2, LU Junrui1,2   

  1. 1. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022;
    2. Jilin Provincial Key Laboratory of Designing and Planning for Factory, Jilin University, Changchun 130022
  • Received:2018-07-25 Revised:2019-01-05 Online:2019-07-20 Published:2019-07-20

Abstract: Based on the research background of cell manufacturing system, the performance evaluation of cell manufacturing system under the condition of one person and multiple machines is discussed. According to the actual working conditions of the machining unit, two kinds of errors in the operation process of the operator are defined as repairable and irreparable human errors respectively, and the human errors queuing network module is established. Then an open-loop queuing network model considering human errors and a closed-loop queuing network model of machine/operator are established to describe the human-machine interference mechanism considering human errors. On this basis, a calculation flow chart for evaluating the human-machine interference performance of cellular manufacturing system considering human errors is given. A practical engineering case is simulated by using the proposed model and method. The results show that when human error is considered, the change of human-machine ratio has the most significant impact on human-machine interference. The larger the proportion of human-machine operation, the lower the system's tolerance to human error. That is to say, the presence of feeding/cutting errors will lead to the enhancement of human-machine system interference level and increase the workload of operators.

Key words: human error, human-machine interference, man-machine load ratio, man-machine ratio, queuing network model

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