A New Accident Analysis Model Proposal in Occupational Safety Risk Management: "Star Diagram"

Author:

CINAR Ulas1ORCID

Affiliation:

1. ÇANAKKALE ONSEKİZ MART ÜNİVERSİTESİ

Abstract

Occupational accidents are a global problem in terms of their effects. Different techniques for the analysis of accidents are available in the literature. Accident analyzes, which experts often conduct with linguistic expressions, cause some problems in expressing the sizes and distributions of root and supporting factors. Existing approaches do not clearly reflect the distribution of factors that may cause an accident. In this direction, a new model has been proposed to the literature for the analysis of occupational accidents within the scope of this study. The proposed model was developed based on accident theories and complies with the principles of root cause analysis. However, it has brought many innovations to existing applications. The proposed method, the factors affecting the accident; It divides it into 5 main groups as “Personal”, “Environment”, “Management”, “Machine and Equipment” and “Organization”. Each of these identified main factors is characterized by schematic distribution to the 5 arms of a star. For this reason, the method is called "Star Diagram". The proposed model is a first in the literature in this field. The main parameters in risk analysis are probability and severity. Before accidents occur, the magnitude of the risk is expressed in line with these parameters. Inspired by this, the proposed model determines to what extent the impact categories contribute to the probability of the event and the severity of the damage after the accident occurs. In this direction, relative data can be expressed as a percentage of which category affects the formation of the accident. The proposed model stands out with its categorized root cause analysis and quantitative magnitude expressions, which are not available in other techniques. In this respect, it fills an important gap in the literature.

Publisher

Yonetim Bilimleri Dergisi

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3