A fuzzy data envelopment analysis based algorithm for performance assessment of proactive safety in safety-critical units

This study proposes a real-time framework for performance optimization of proactive safety culture in safety-critical industries. Safety culture indicators were extracted from the literature using a comprehensive literature review. The proposed framework is based on fuzzy data envelopment analysis (FDEA) and statistical methods. It is able to evaluate the real-time performance of any safety-critical industry and determines the current status of each indicator. The required data is collected using a questionnaire which was distributed as a self-administered survey to ۲۱۰ employees in Shiraz Petrochemical Company and ۱۷۴ surveys were returned with ۷۹% response rate. The application of fuzzy logic along with stochastic efficiency frontier analysis have empowered the proposed hybrid framework to deal with deep uncertainty, and result in more reliable findings. The obtained results can efficiently help safety managers to improve the proactive safety culture of the organization.

کلیدواژه ها:

Proactive safety culture ، efficiency frontier analysis ، performance optimization ، safety-critical industry ، fuzzy data envelopment analysis