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Determining the Reliability of Critical Controls in Construction Projects. SAFETY 2022. [DOI: 10.3390/safety8030064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Across the global construction industry, fatalities continue to occur from high-risk activities, where the risk controls have been defined; however, these were unreliable. In the mining industry, Critical Control Risk Management has provided positive results in reducing major accidents, which raises the question, could the Critical Control approach reduce the fatality rate in the construction industry? This study analyzed 10 years of serious and fatal incident investigation reports from four international construction companies to (i) assess the reliability of their Critical Controls (CCs) and (ii) assess the factors that affect the reliability of CCs. The results show the reliability of CCs, measured by implementation and effectiveness, averaged just 42%. Insight into human performance and organizational factors, including risk identification, decision-making and competency, together with supervision, job planning and communication, were identified as opportunities to improve the reliability of CCs. The study used bowtie diagrams with real event data to find the actual CC reliability. This appears to be the first published study that reports on the reliability of critical risk controls in construction. It demonstrates a feasible method for determining and communicating control effectiveness that can be used to deliver meaningful insights to industry practitioners on actual control performance and focus areas for improvement. In addition, actionable findings directly related to individual CCs can be derived that enable the participating organization to focus resources on improving specific verification processes. The results confirm the applicability of CCs for the Major Accident Event hazards analyzed and highlights that further reviews are required on the factors that need to be considered when implementing a CC program. This paper details our methodology and results, to assist others applying CCs as a risk management tool.
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Kang J, Wang L, Jin H, Zhang J, Dai H. Performance evaluation of safety barriers based on multidimensional deconstruction. PROCESS SAFETY PROGRESS 2022. [DOI: 10.1002/prs.12415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Jian Kang
- Department of Safety Engineering Beijing Institute of Petrochemical Technology Beijing China
| | - Lidan Wang
- Department of Safety Engineering Beijing Institute of Petrochemical Technology Beijing China
| | - Hao Jin
- The 714 Research Institute China State Shipbuilding Corporation Beijing China
| | - Jixin Zhang
- Department of Safety Engineering Beijing Institute of Petrochemical Technology Beijing China
| | - Haoyuan Dai
- Department of Safety Engineering Beijing Institute of Petrochemical Technology Beijing China
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Qiao W, Huang E, Guo H, Liu Y, Ma X. Barriers Involved in the Safety Management Systems: A Systematic Review of Literature. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159512. [PMID: 35954869 PMCID: PMC9368331 DOI: 10.3390/ijerph19159512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/22/2022] [Accepted: 07/28/2022] [Indexed: 02/01/2023]
Abstract
Safety barriers are widely accepted in various industries as effective risk management tools to prevent hazardous events and mitigate the consequences caused by these events. Studies on safety barriers have been increasing in recent decades; therefore, the general idea of this article is to present a systematic review of the field. The purpose of this article is threefold: (1) to map various networks for the barrier-related articles collected from WoS; (2) to summarize the advances of the safety barrier at both the individual level and barrier management level on the basis of six issues, and (3) to propose the research perspectives associated with safety barriers considering the latest theories and methodologies in the field of safety management. Based on the findings and insights obtained from the literature collected by a bibliometric and systematic review, studies on barrier management within the complex socio-technical system are analyzed, and the framework of “risk-barrier capacity” is proposed for future development, in which the challenges stemming from industrial intelligence may be solved through resilience theory. Meanwhile, intelligent technologies are also able to serve as health status monitoring devices for various barrier elements.
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Affiliation(s)
- Weiliang Qiao
- Marine Engineering College, Dalian Maritime University, Dalian 116026, China; (W.Q.); (H.G.)
| | - Enze Huang
- School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China; (E.H.); (Y.L.)
| | - Hongtongyang Guo
- Marine Engineering College, Dalian Maritime University, Dalian 116026, China; (W.Q.); (H.G.)
| | - Yang Liu
- School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China; (E.H.); (Y.L.)
| | - Xiaoxue Ma
- School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China; (E.H.); (Y.L.)
- Public Administration and Humanities College, Dalian Maritime University, Dalian 116026, China
- Correspondence: ; Tel.: +86-13009488100
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Cheraghi M, Eslami Baladeh A, Khakzad N. Optimal selection of safety recommendations: A hybrid fuzzy multi-criteria decision-making approach to HAZOP. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2021.104654] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Resilience-based approach to safety barrier performance assessment in process facilities. J Loss Prev Process Ind 2021. [DOI: 10.1016/j.jlp.2021.104599] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Analysis and Characterization of Risk Methodologies Applied to Industrial Parks. SUSTAINABILITY 2020. [DOI: 10.3390/su12187294] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
It is important to evaluate the risks in industrial parks and their processes due to the consequences of major accidents and especially the domino effect. Scientific works present a wide possibility of models to deal with these situations. In this work, based on the information extracted from the scientific literature, six groups of risk methodologies are defined, analyzed, and characterized with methods that cover the standards, preventive, probabilistic, traditional, modern, and dynamic evaluation that are applied or could be used in industrial parks. It also tries to achieve the objective of determining which are more appropriate if the possible situations and causes that can produce an accident are taken into account, identifying and evaluating them with characteristics of simultaneity and immediacy, determining the probability of an accident occurring with sufficient advance in time to avoid it under the use of a working operational procedure. There is no definitive methodology, and it is necessary that they complement each other, but considering the proposed objective, the integrated application of traditional methodologies together with the management of safety barriers, the dynamic evaluation of risks, and the inclusion of machine learning systems could fulfill the proposed objective.
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Safety barriers: Research advances and new thoughts on theory, engineering and management. J Loss Prev Process Ind 2020. [DOI: 10.1016/j.jlp.2020.104260] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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A Systematic Methodology for Developing Bowtie in Risk Assessment: Application to Borescope Inspection. AEROSPACE 2020. [DOI: 10.3390/aerospace7070086] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background—Bowtie analysis is a broadly used tool in risk management to identify root causes and consequences of hazards and show barriers that can prevent or mitigate the events to happen. Limitations of the method are reliance on judgement and an ad hoc development process. Purpose—Systematic approaches are needed to identify threats and consequences, and to ascertain mitigation and prevention barriers. Results—A new conceptual framework is introduced by combining the Bowtie method with the 6M structure of Ishikawa to categorise the threats, consequences and barriers. The method is developed for visual inspection of gas turbine components, for which an example is provided. Originality—Provision of a more systematic methodology has the potential to result in more comprehensive Bowtie risk assessments, with less chance of serious omissions. The method is expected to find application in the broader industry, and to support operators who are non-risk experts but have application-specific knowledge, when performing Bowtie risk assessment.
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Aitao Z, Lingpeng F. A new insight into the accident investigation: A case study of Tianjin Port fire and explosion in China. PROCESS SAFETY PROGRESS 2017. [DOI: 10.1002/prs.11891] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Zhou Aitao
- School of Resource & Safety Engineering; China University of Mining & Technology; Beijing 100083 China
| | - Fan Lingpeng
- School of Resource & Safety Engineering; China University of Mining & Technology; Beijing 100083 China
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