Multi-level modeling and robustness evaluation of disturbances in intelligent workshop with temporal snapshot network

Abstract

Disturbances occurred in the workshop production process disrupt the original production order, thus affecting production efficiency and production stability. Previous research focused on addressing status perception and operation control problem of intelligent workshop, but pays little attention on the formation process of disturbances and the evaluation of disturbances disruption effect on process completion time or manufacturing system robustness. It leads to difficulty in quantifying the destruction degree of disturbances and ensuring production robustness stability after being disrupted. To this end, a multi-level modeling and robustness evaluation method of disturbances are proposed. Firstly, a multi-level modeling method which quantifies disturbances disruption degree is presented by the fluctuation between the ideal level and the actual level of process completion time. Secondly, the evolution models of gradual disturbance and abrupt disturbance are constructed to analyze the correlation between disturbance evolution process and production robustness fluctuation. Then, a critical vertex identification algorithm is also presented to reveal the influence of machine importance on the disturbance destruction range. Finally, the production process of a typical manufacturing system is taken as a case study to illustrate the effectiveness of the proposed methods in quantifying the disturbance disruption degree and evaluating the robustness fluctuation of the manufacturing system.