Analysis and Optimization of the Effectiveness of Production Safety Standardization Construction Based on Set-Pair Analysis

The industry and trade sector is a crucial part of China's national economy, yet its development is frequently accompanied by numerous safety incidents, leading to significant casualties and property damage. To enhance safety practices, the Chinese government introduced standardized production safety assessment criteria. Despite improvements in overall safety management in recent years, the implementation process often emphasizes scoring over substance, causing enterprises to overlook key elements directly related to production safety. Additionally, the current assessment system, which ranks enterprises based solely on scores, fails to accurately reflect their true safety management levels. To overcome the limitations of the current evaluation results of standardized work safety construction and to establish a method for scientifically assessing the safety management level and predicting the future safety development trends of enterprises, this study employs the principles of similarity and contrast, utilizing Set-Pair Analysis (SPA) as a quantitative tool. By targeting thirteen critical elements of the safety standardization framework, a five-element linkage function model was constructed. This model calculates linkage degree, set-pair potential, pessimistic potential, optimistic potential, and difference degree to evaluate safety standardization efforts across enterprises within and between industries. The study's findings indicate that the five-dimensional linkage model based on SPA is both reasonable and reliable. A positive correlation was observed between the weights of evaluation elements and the optimistic potential values of enterprises, particularly with key elements such as Elements Seven and Eight, which are critical in determining an enterprise's actual safety capabilities. Enhancing these elements can significantly improve intrinsic safety levels. Additionally, the model's calculated metrics allow for precise and quantitative ranking of enterprises' true safety management levels. Moreover, the model provides an accurate quantitative assessment of the true safety management hierarchy, offering practical and adaptable applications in other sectors.