Modelling and simulation of human behaviour for safety analysis and control of complex systems

Cacciabue, Pietro Carlo

doi:10.1016/s0925-7535(97)00079-9

Cited by 32 publications

(27 citation statements)

References 15 publications

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“…Cacciabue [8] and others (e.g., [9]) have outlined the importance of simulation and modeling of human performance for the field of HRA. Specifically, simulation and modeling address the dynamic nature of human performance in a way that has not been found in most HRA methods.…”

Section: Importance Of Hra Simulation Approachesmentioning

confidence: 99%

Human Performance Modeling for Dynamic Human Reliability Analysis

Boring

Joe

Mandelli

2015

Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Human Modeling

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Abstract. Part of the U.S. Department of Energy's (DOE's) Light Water Reactor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Characterization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk framework. In this paper, we review simulation based and non simulation based human reliability analysis (HRA) methods. This paper summarizes the foundational information needed to develop a feasible approach to modeling human interactions in RISMC simulations.

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Section: Importance Of Hra Simulation Approachesmentioning

confidence: 99%

Human Performance Modeling for Dynamic Human Reliability Analysis

Boring

Joe

Mandelli

2015

Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Human Modeling

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“…Several researchers have focused on the concept of human error in order to understand, to evaluate and to identify possible actions to limit it (Reason, 1990;Hollnagel, 1996;Cacciabue, 1998;Cacciabue, 2004). This paper proposes a new use of HRA methods through the Simulator for Human Error Probability Analysis (SHERPA), which aims to predict the human error probability (HEP) and to assess breaks scheduling (Di Pasquale, et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An HRA-based simulation model for the optimization of the rest breaks configurations in human-intensive working activities

et al. 2015

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Human errors in the workplace can have serious consequences such as accidents, malfunctions and quality defects in the performed task. The Simulator for Human Error Probability Analysis (SHERPA), recently proposed in literature, is able to estimate human reliability for different workplaces and to assess the impact of context via performance shaping factors (PSFs). SHERPA is not limited to the reliability assessment, as many existing HRA methods, but uses it in the operator recovery modelling and breaks scheduling simulation. The paper proposes a SHERPA-based methodology able to determine the rest breaks configuration which minimizes the costs associated with any type of error. More specifically, the model identifies the number, the relative time in shift and the duration of the work suspensions in order to ensure the operator's psychophysical recovery and consequently his optimal increase of reliability. The model has been applied to a case study showing interesting results in terms of economic effects of different breaks configurations.

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“…Besides these catastrophic accidents, it is also found that human errors appear among the causes of most accidents in aviation and nuclear power plants (Miller and Swain 1987;Wiener and Nagel 1988). The percentage of human contribution to the accident rate is conjectured to rise higher in the future due to system complexity and the operator's role in the control loop as well as increasing reliability of mechanical and electronic components (Cacciabue 1998b).…”

Section: Introductionmentioning

confidence: 99%

“…Among several methodological frameworks for reliability and safety analyses, simulation of the operator's cognition has been accepted as an appropriate and feasible approach in the high-tech human-machine field (Cacciabue 1998b). This approach is utilised for the purpose of safety assessment and design of human-machine interfaces and decision support tools mainly due to its advantage of cost and time savings.…”

Section: Introductionmentioning

confidence: 99%

“…At a lower level, major cognitive elements must be further defined, and ideally their interaction processes with the system and environment are described as functions of the task context. This type of model is required for specific applications to safety and reliability management of the human-machine system (Cacciabue, 1998b). CES (Cognitive Environment Simulation Model) (Roth et al 1991(Roth et al , 1992, COSIMO (Cognitive Simulation Model) (Cacciabue et al 1990(Cacciabue et al , 1992 and IDA (Information, Diagnosis/ Decision, Actioni) Shen et al 1997) are typical examples of this class.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Risk Analysis of Ship Navigation by Use of Cognitive Simulation

Itoh

Yamaguchi

Hansen

et al. 2001

CTW

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This paper presents a cognitive simulation approach to risk analysis for maritime operations. For this purpose, a ship navigator's cognitive model was constructed for simple course-tracking task based on cognitive task analysis of experimental navigation sessions using a maritime simulator. It describes the dynamic interaction between the navigator's cognitive processes and the states during manoeuvring. In addition to performance modelling of normal operations, the model is equipped with a navigator-error generating process to simulate identification error of vessel position and heading and look-ahead error of the future track. The cognitive model was examined in terms of its descriptive and predictive abilities of ship motion and navigator's behaviour through simulation runs using identical scenarios for the experimental navigation sessions. Many varieties of simulation were then performed with different navigation scenarios changing the navigator's individual factors and manoeuvring conditions to identify critical risk factors at sea. Based on these results, we discuss the possibility of applying the cognitive simulation approach to risk analysis in ship navigation.

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Modelling and simulation of human behaviour for safety analysis and control of complex systems

Cited by 32 publications

References 15 publications

Human Performance Modeling for Dynamic Human Reliability Analysis

Human Performance Modeling for Dynamic Human Reliability Analysis

An HRA-based simulation model for the optimization of the rest breaks configurations in human-intensive working activities

Risk Analysis of Ship Navigation by Use of Cognitive Simulation

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