职业与健康 ›› 2025, Vol. 41 ›› Issue (3): 373-377.

• 论著 • 上一篇    下一篇

基于博弈论的职业健康管理模型构建与应用

王陆阳1, 丁晓文1, 毕明丽1, 陈振芳1, 王晓舜1, 李洪枚2   

  1. 1.北京市化工职业病防治院(北京市职业病防治研究院)职业健康研究所,北京 100093;
    2.首都经济贸易大学管理工程学院,北京 100070
  • 收稿日期:2024-05-30 修回日期:2024-06-12 出版日期:2025-02-01 发布日期:2025-12-17
  • 通信作者: 丁晓文,研究员,E-mail:dxwen1124@163.com
  • 作者简介:王陆阳,男,工程师,主要从事劳动卫生与职业健康研究工作。
  • 基金资助:
    首都卫生发展科研专项(首发2024-2-3103); 国家卫生健康委粉尘危害工程防护重点实验室开放课题资助项目(KLECDH2023030201)

Construction and application of occupational health management model based on game theory

WANG Luyang1, DING Xiaowen1, BI Mingli1, CHEN Zhenfang1, WANG Xiaoshun1, Li Hongmei2   

  1. 1. Institute of Occupational Health,Beijing Prevention and Treatment Hospital of Occupational Disease for Chemical Industry(Beijing Institute of Occupational Disease Prevention and Treatment),Beijing 100093,China;
    2. School of Management Engineering,Capital University of Economics and Business,Beijing 100070,China
  • Received:2024-05-30 Revised:2024-06-12 Online:2025-02-01 Published:2025-12-17
  • Contact: DING Xiaowen,Researcher,E-mail:dxwen1124@163.com

摘要: 目的 构建基于博弈论的职业健康管理模型并验证其有效性。方法 2021年7月—2022年6月,构建不同层次三方参与的博弈模型,并根据模型解析结果优化某炼化企业现有职业健康管理工作,采用配对t检验和Wilcoxon秩和检验方法比较分析模型建立前后职业健康管理的变化情况。结果 博弈各方总期望收益与各个层级职业健康生产成本投入的累加均值呈负相关;参与者的期望收益与违规行为检出率θi呈正相关;装置外操工的期望收益值与自己可能遭受的考核F1呈负相关;模型应用前后,处罚考核总次数下降30次,公司级处罚次数下降18次,部门级处罚次数下降15次,奖励考核次数增加23次,差异有统计学意义(P<0.05);装置级处罚次数增加3次,差异无统计学意义(P>0.05)。结论 利用博弈论模型优化企业职业健康管理工作可行,可为职业健康管理工作提供新的途径。

关键词: 炼化企业, 职业健康管理, 博弈论, 职业健康

Abstract: Objective To construct a game theory-based occupational health management model and verify its effectiveness. Methods From July 2021 to June 2022,a game model involving three parties at different levels was built,and the existing occupational health management work of anrefinery enterprise was optimized according to the model analysis results. The paired t test and Wilcoxon rank sum test were used to compare and analyze the changes in occupational health management before and after the establishment of the model. Results The total expected return of all parties in the game was negatively correlated with the cumulative mean of occupational health production cost input at each level. The expected return of participants was positively correlated with the detection rate of violations θi. The expected return of operators outside the device was negatively correlated with the assessment F1 they may suffer. Before and after the application of the model,the total number of punishment assessment decreased by 30,the number of company-level punishment decreased by 18,the number of department-level punishment decreased by 15,and the number of reward assessment increased by 23,with statistically significant differences(P<0.05),while the number of device-level punishment increased by 3,with no statistically significant difference(P>0.05). Conclusion It is feasible to optimize the occupational health management of enterprises by using the game theory model,which can provide new approaches for occupational health management.

Key words: Refinery enterprise, Occupational health management, Game theory, Occupational health

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