Abstract:

To address the issues of an incomplete indicator system and oversimplified weight determination in current lifting machinery safety evaluation, a safety evaluation indicator system for lifting machinery was constructed based on Man,Machine,Milieu,Management(4M) factors theory and 95 lifting machinery accident investigation reports from 2019 to 2023. The BWM was employed to determine subjective weights, while an CRITIC method was introduced to determine objective weights. By applying game theory combination weighting, the subjective and objective weights were integrated to form composite weights, thereby enabling the weighting and evaluation of the established indicator system. The results reveal that human factors are the primary cause of lifting machinery accidents. During safety inspections of operators, particular attention should be paid to their safety awareness and technical proficiency. In safety inspections of lifting machinery, the effectiveness of safety protection devices and the structural integrity of key components should be emphasized. The model outputs are highly consistent with key safety indicators in the on-site inspection records, confirming the effectiveness of the proposed model in the safety evaluation of lifting machinery.

Key words: game theory combination weighting, cloud model, lifting machinery, safety evaluation, best-worst method(BWM), criteria importance though intercriteria correlation(CRITIC)