Information Delayering Safety Management (IDSM): A New Method of System Safety in Urgent Situations Needs to Be Established.

delayering mode information distortion safety management method system safety

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
10 02 2023
Historique:
received: 20 01 2023
revised: 06 02 2023
accepted: 07 02 2023
entrez: 25 2 2023
pubmed: 26 2 2023
medline: 3 3 2023
Statut: epublish

Résumé

Organizational safety decisions rely heavily on safety information in today's data-driven era, but there is a significant danger of information distortion that can compromise system safety. To address the issue of information distortion and enhance system safety, a new approach called information delayering safety management (IDSM) has been developed and implemented. The IDSM method combines delayering management mode and graph theory to study the relationship between information distortion management and delayering management. By using the delayering mode as a theoretical foundation for safety information management, information distortion can be reduced. The implementation of this approach from a graph theory perspective has been tested using a case study and has been proven to effectively enhance the reliability of safety information and ensure system safety. The minimum control set of the directed graph algorithm can be used to realize the whole network management of safety information distortion. The amount of safety information and signal noise can be controlled by adjusting connectivity, and safety information distortion can be regulated through the adjustment of structural holes and flow direction. Overall, IDSM offers a new, effective method for accident analysis and safety management, allowing safety professionals to make informed decisions based on robust advanced evidence.

Identifiants

pubmed: 36833816
pii: ijerph20043122
doi: 10.3390/ijerph20043122
pmc: PMC9967147
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Yu Lei (Y)

School of Public Administration, Central South University, Changsha 410083, China.
Center for Social Stability Risk Assessment, Central South University, Changsha 410083, China.

Guirong Zhang (G)

School of Public Administration, Central South University, Changsha 410083, China.
Center for Social Stability Risk Assessment, Central South University, Changsha 410083, China.

Xiuping Liao (X)

School of Engineering, Macquarie University, Sydney 2109, Australia.

Wei Feng (W)

School of Public Administration, Central South University, Changsha 410083, China.
Center for Social Stability Risk Assessment, Central South University, Changsha 410083, China.

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Classifications MeSH