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The application of systematic accident analysis tools to investigate food safety incidents.

Oleo, D. D. D., Manning, L., McIntyre, L., Randall, N. and Nayak, R., 2024. The application of systematic accident analysis tools to investigate food safety incidents. Comprehensive Reviews in Food Science and Food Safety, 23 (3), e13344.

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DOI: 10.1111/1541-4337.13344

Abstract

Effective food safety (FS) management relies on the understanding of the factors that contribute to FS incidents (FSIs) and the means for their mitigation and control. This review aims to explore the application of systematic accident analysis tools to both design FS management systems (FSMSs) as well as to investigate FSI to identify contributive and causative factors associated with FSI and the means for their elimination or control. The study has compared and contrasted the diverse characteristics of linear, epidemiological, and systematic accident analysis tools and hazard analysis critical control point (HACCP) and the types and depth of qualitative and quantitative analysis they promote. Systematic accident analysis tools, such as the Accident Map Model, the Functional Resonance Accident Model, or the Systems Theoretical Accident Model and Processes, are flexible systematic approaches to analyzing FSI within a socio-technical food system which is complex and continually evolving. They can be applied at organizational, supply chain, or wider food system levels. As with the application of HACCP principles, the process is time-consuming and requires skilled users to achieve the level of systematic analysis required to ensure effective validation and verification of FSMS and revalidation and reverification following an FSI. Effective revalidation and reverification are essential to prevent recurrent FSI and to inform new practices and processes for emergent FS concerns and the means for their control.

Item Type:Article
ISSN:1541-4337
Uncontrolled Keywords:analysis; food safety; incident; revalidation; reverification
Group:Faculty of Science & Technology
ID Code:39752
Deposited By: Symplectic RT2
Deposited On:29 Apr 2024 13:37
Last Modified:29 Apr 2024 13:37

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