Impact Assessment Method for Disturbance Events in Complex Manufacturing Scenarios

Abstract

Disturbances in complex manufacturing scenarios are often characterized by their simultaneous occurrences and mutual interactions. These disturbances can affect production progress, product quality, and enterprise performance. Under specific resource constraints in the workshop, it is essential to systematically assess the impact of various disturbances on workshop operations to determine the priority of responses to these disturbances. This provides valuable insights for formulating systematic response strategies for various disturbance events. However, current research faces several challenges. A key challenge is that current methods for assessing disturbance impacts are highly subjective and fail to provide comprehensive analysis of disturbances. To address these challenges, this paper proposes a method for assessing the impact of workshop disturbances based on Hesitant Fuzzy ANP-VIKOR (HF-ANP-VIKOR). First, a systematic classification and summary of workshop disturbance events are conducted, followed by the construction of a disturbance feature characterization model. Next, hesitant fuzzy theory is introduced, and the ANP method is used to calculate the weights of various indicators, which are then combined with the VIKOR method to assess the impact of disturbance events, thereby reducing the bias introduced by expert subjective judgment. A case study of an intelligent flange production workshop is conducted to validate the effectiveness of the proposed method, and its robustness is further validated through sensitivity analysis. Experimental results demonstrate that the proposed method can effectively prioritize multi-level disturbance events in workshops, thus providing a reliable foundation for production optimization and resource allocation.

Keywords: disturbance impact assessment, complex manufacturing, analytic network process, hesitant fuzzy theory