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基于网络分析法的作业许可制度效率影响因素指标优先级排序

Prioritizing the indicators influencing permit to work system efficiency based on an analytic network process.

机构信息

Department of Environmental Health Engineering, Tabriz University of Medical Sciences, Iran.

Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Iran.

出版信息

Int J Occup Saf Ergon. 2022 Jun;28(2):1042-1052. doi: 10.1080/10803548.2020.1862516. Epub 2021 Jan 20.

Abstract

A permit to work (PTW) system is a formal procedure designed to control non-routine and hazardous works. However, this system by itself does not prevent incidents, and various factors contribute to its efficiency. This study aims to prioritize the indicators influencing system efficiency. To do this, indicators of the system were identified and scored by 15 safety experts. Next, priority weights of the indicators were analyzed by an analytic network process and Super Decisions version windows 2.10. Accordingly, the nine main indicators and 43 sub-indicators influencing the PTW system were ranked. The main indicators from high to low were preventive actions, training, safe procedures, emergency system, control and corrective measures, coordination, monitoring, details of the permit form and documentation, respectively. The present work helps identify the involved indicators in PTW system efficiency. Thereby, the experts can prioritize and perform measures to prevent failures in the system and decrease accidents.

摘要

工作许可证(PTW)系统是一种旨在控制非常规和危险作业的正式程序。然而,该系统本身并不能防止事故发生,并且有各种因素影响其效率。本研究旨在确定影响系统效率的指标的优先级。为此,通过 15 名安全专家确定了系统的指标并进行了评分。然后,通过分析网络过程和 Super Decisions 版本窗口 2.10 分析了指标的优先级权重。据此,对影响 PTW 系统的 9 个主要指标和 43 个子指标进行了排名。主要指标按重要性从高到低依次为预防措施、培训、安全程序、应急系统、控制和纠正措施、协调、监控、许可证表格和文件的详细信息。本工作有助于确定 PTW 系统效率中涉及的指标。因此,专家可以对这些指标进行优先排序,并采取措施防止系统故障和减少事故。

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