Karafan Journal

Karafan Journal

Presenting a model and new software in the root cause analysis (RCA) of workplace accidents (case study: RCA of mine bench collapse accident)

Document Type : Original Article

Authors
1 department of civil engineering, university of birjand, birjand, iran
2 department of Industrial Engineering, Semnan university, Semnan, iran
3 department of civil engineering, Birjand Branch, Islamic Azad University, Birjand, Iran
Abstract
Accidents invariably result in personal, financial, environmental, and credit-related damages across various industries and organizations. Consequently, there is a pressing need for a systematic approach that identifies the root cause analysis (RCA) of incidents and recommends necessary corrective measures. A review of the research history in the field of RCA, along with an evaluation of existing methodologies, reveals significant shortcomings in the current practices of event investigation and analysis. Two primary deficiencies are the lack of a comprehensive and effective method and the absence of a systematic system that is accessible to average users. This paper proposes a hybrid approach that integrates the RCA method with the Tripod-Beta method to address the first deficiency. Initially, the RCA method is enhanced by incorporating additional elements, after which this refined RCA method is combined with the Tripod-Beta method, which also includes graphical and visual representations. These two methodologies complement each other, effectively addressing their respective weaknesses. To tackle the second deficiency, a user-friendly software solution has been developed, designed to facilitate root cause analysis in a step-by-step manner. This software enables users to explore various aspects of incidents, including those that may not be immediately apparent, thereby helping to prevent the recurrence of similar events. Furthermore, the software is tailored to meet the specific needs of ongoing projects within our country, making it entirely local, practical, and applicable for various organizations involved in the analysis of real incidents. The effectiveness of the developed software is demonstrated through a case study.
Keywords
Subjects

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Volume 22, Issue 3
Technical and Engineering
Autumn 2025
Pages 244-266

  • Receive Date 23 November 2024
  • Revise Date 14 February 2025
  • Accept Date 13 April 2025