Industrial safety management in the digital era: Constructing a knowledge graph from near misses

Simone, Francesco De; Ansaldi, Silvia; Agnello, Patrizia; Patriarca, Riccardo

doi:10.1016/j.compind.2022.103849

Cited by 17 publications

(5 citation statements)

References 21 publications

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“…An import algorithm enables the construction of the knowledge graph of the Oil & Gas process STAMP model (Simone et al 2023). The resulting graph is reported in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

Extending Safety Control Structures: A Knowledge Graph for STAMP

Simone,

Akel,

Alvino

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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The increasing interactions among technical components and human agents in modern industrial systems poses new challenges for safety management, demanding for novel approaches to extend techno-centric investigations with social-oriented analyses. In these scenarios, it becomes crucial the usage of a detailed accident analysis beyond immediate failures, to encompass physical, cyber and social aspects. The Systems-Theoretic Accident Model and Processes (STAMP) was developed as an accident model that makes use of systems theory to arrange a causality model focusing on system hazards. The inner nature of a STAMP model, which maps connections (feedbacks and control actions) among system elements, matches the principles of a graph representation, which are made up of vertices and edges mapping connections. This correspondence may then enable the exploitation of a STAMP-driven graph to guide safety assessments by systematic graph analyses. This paper explores the possibility of deriving a knowledge graph from a STAMP safety control structure and use it as a key element for subsequent hazard analyses. The study is instantiated on case study related to the inspection (based upon Seveso III directive) of a Seveso establishment. The analysis is meant to highlight the safety requirements to adapt the inspection procedure to possible future changes, as promoted by an energy transition. The preliminary results show the potential of such tools to empower -or possibly update -modern Safety Management System.

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“…An import algorithm enables the construction of the knowledge graph of the Oil & Gas process STAMP model (Simone et al 2023). The resulting graph is reported in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

Extending Safety Control Structures: A Knowledge Graph for STAMP

Simone,

Akel,

Alvino

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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“…The aim is twofold: on one side, increasing the safety culture of the company, on the other, improving the awareness of workers of the risks entailed [25,26]. Some recent studies have outlined how digital technologies can contribute effectively to these activities as well [27,28].…”

Section: Background and Motivation Of The Studymentioning

confidence: 99%

Application of Near-Miss Management Systems: An Exploratory Field Analysis in the Italian Industrial Sector

Agnusdei

Gnoni

Tornese

et al. 2023

Safety

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Near-miss events are usually identified as adverse events that could have turned into incidents/injuries but, due to an intervention of a safety system or by chance, developed into harmless situations instead. Past and present studies have also outlined the importance of collecting and analyzing near-miss events, as they have same causes of more serious events, thereby allowing for more effective preventative measures at the workplace. Although their importance has been outlined for several years, standard models for designing near-miss management systems (NMMSs) are still lacking and cannot yet support companies in their full-scale application. Despite this condition, NMMSs are applied in several industrial sectors, such as in the construction, mining, chemical, and nuclear industries. The aim of this study is to analyze how companies are developing their own NMMSs. An exploratory analysis was developed through survey analysis; it was provided to a sample of Italian companies in order to evaluate the adoption level of NMMSs as well as current practices applied by companies. The sample included companies of different sizes in the industrial sector. The results extracted from the field analysis outline interesting issues that point out current procedures adopted for the identification, collection, and analysis of near-miss events as well as real benefits and criticalities related to the application of NMMSs.

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“…Despite many preventive actions in the area of occupational safety in the construction industry, dangerous events still occur. In order to reduce their number, the causes of events, as well as their sources, should be investigated, and the results of these analyzes should be implemented into engineering practice [ [1] , [2] , [3] ].…”

Section: Introductionmentioning

confidence: 99%

“…Researchers dealing with the issues of occupational safety emphasize the importance of research concerning so-called near misses, classifying them as pre-accident events. There are studies supporting the thesis that a significant proportion of accidents in the construction industry can be prevented through better safety management, which is based on information taken from near misses, and stored in the information systems of enterprises [ [3] , [4] , [5] ]. In sectors such as civil aviation, the chemical industry, medicine, rail transport or nuclear power generation, near miss reporting systems have been in use for a long time [ 6 ].…”

Section: Introductionmentioning

confidence: 99%