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072 7 _aTBJ
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245 1 0 _aSafety Causation Analysis in Sociotechnical Systems: Advanced Models and Techniques
_h[electronic resource] /
_cedited by Esmaeil Zarei.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXII, 530 p. 138 illus., 104 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v541
505 0 _aAn overview on accident investigation and analysis in sociotechnical systems -- Accident investigation process -- Data gathering tools and techniques -- Simple sequential linear accident models/theories -- Complex linear models -- Simple and Complex Linear causation techniques -- Systemic techniques -- Introduction of system thinking and sociotechnical systems -- Systems thinking methods (Complex non-linear models) -- Accident Indices -- Agent-Based Modelling (ABM) -- System Dynamics -- Application of Machine learning algorithms in accident analysis -- Application of Data-driven algorithms in accident analysis -- System Experts -- Discussion and Conclusion.
520 _aThis book provides a comprehensive view on theories, models, and techniques used to investigate and analyze incidents and safety causalities occurring in sociotechnical systems. Consisted of intricately interconnected components, sociotechnical systems are always prone to incidents. These incidents can ensue with adverse effects on employees and the public, the environment, and company's properties and reputation. Sometimes, a single incident has the potential to terminate the operation of a business forever. As incidents are multi-factorial and not easy to comprehend, they should be investigated systematically in a structured way so as to find their root causes and prevent them from recurring. Consequently, there have been developed many theories, models, and techniques aimed at accomplishing this goal. However, each approach has its own upsides and downsides, and there is no universal one applicable to all cases. Therefore, researchers and practitioners may sometimes find it difficult to select the most appropriate approach for the given case. After introducing theories, models, and techniques pertaining to incident investigation and safety causalities modeling, this book explains each one in details and discusses their pros and cons. The book aims to provide the audience with a step-by-step guidance for performing incident investigation and analysis. At the end of each chapter an example is analyzed by the introduced tool. Finally, the book offers criteria based on which an incident analysis technique can be selected.
541 _fUABC ;
_cPerpetuidad
650 0 _aEngineering mathematics.
650 0 _aEngineering
_xData processing.
650 0 _aDynamics.
650 0 _aNonlinear theories.
650 0 _aComputational intelligence.
650 1 4 _aMathematical and Computational Engineering Applications.
650 2 4 _aApplied Dynamical Systems.
650 2 4 _aComputational Intelligence.
700 1 _aZarei, Esmaeil.
_eeditor.
_0(orcid)0000-0002-2565-5578
_1https://orcid.org/0000-0002-2565-5578
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031624698
776 0 8 _iPrinted edition:
_z9783031624711
776 0 8 _iPrinted edition:
_z9783031624728
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v541
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-62470-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c275743
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