An Overview of Human Reliability Analysis Techniques in Manufacturing Operations
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paper_title: Cognitive Reliability And Error Analysis Method Cream

paper_content:

cognitive reliability and error analysis method cream is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the cognitive reliability and error analysis method cream is universally compatible with any devices to read.
---
paper_title: Inclusion of fatigue effects in human reliability analysis

paper_content:

The effect of fatigue on human performance has been observed to be an important factor in many industrial accidents. However, defining and measuring fatigue is not easily accomplished. This creates difficulties in including fatigue effects in probabilistic risk assessments (PRA) of complex engineering systems that seek to include human reliability analysis (HRA). Thus the objectives of this paper are to discuss (1) the importance of the effects of fatigue on performance, (2) the difficulties associated with defining and measuring fatigue, (3) the current status of inclusion of fatigue in HRA methods, and (4) the future directions and challenges for the inclusion of fatigue, specifically sleep deprivation, in HRA.
---
paper_title: Modelling and simulation of human behaviour for safety analysis and control of complex systems

paper_content:

Abstract This paper discusses the needs and current trends of research in Human–Machine Studies (HMS) focusing on the role of simulation models in safety analysis and in design of decision support tools. The perspectives and limits of application of complex approaches, such as cognitive models and dynamic simulations of human–machine interaction, are reviewed, discussing existing methods and implementation architectures.
---
paper_title: MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS

paper_content:

This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
---
paper_title: Cognitive Reliability And Error Analysis Method Cream

paper_content:

cognitive reliability and error analysis method cream is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the cognitive reliability and error analysis method cream is universally compatible with any devices to read.
---
paper_title: Inclusion of fatigue effects in human reliability analysis

paper_content:

The effect of fatigue on human performance has been observed to be an important factor in many industrial accidents. However, defining and measuring fatigue is not easily accomplished. This creates difficulties in including fatigue effects in probabilistic risk assessments (PRA) of complex engineering systems that seek to include human reliability analysis (HRA). Thus the objectives of this paper are to discuss (1) the importance of the effects of fatigue on performance, (2) the difficulties associated with defining and measuring fatigue, (3) the current status of inclusion of fatigue in HRA methods, and (4) the future directions and challenges for the inclusion of fatigue, specifically sleep deprivation, in HRA.
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paper_title: Human reliability analysis in the man–machine interface design review

paper_content:

Abstract Advanced, computer-based man-machine interface (MMI) is emerging as part of the new design of nuclear power plants. The impact of advanced MMI on the operator performance, and as a result, on plant safety should be thoroughly evaluated before such technology is actually adopted in the plants. This paper discusses the applicability of human reliability analysis (HRA) to support the design review process. Both the first-generation and the second-generation HRA methods are considered focusing on a couple of promising HRA methods, i.e. ATHEANA and CREAM, with the potential to assist the design review process.
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paper_title: The validation of three human reliability quantification techniques--THERP, HEART and JHEDI: Part III--Practical aspects of the usage of the techniques.

paper_content:

This is the third paper in a series of three dealing with the detailed investigation of the empirical validity of three human reliability assessment (HRA) techniques. The first paper introduced the need for validation and specified the three techniques most requiring validation. The second paper detailed the results of an extensive independent validation experiment. This experimental validation involved 30 UK assessors using the techniques THERP, HEART and JHEDI (10 assessors per technique) to estimate the human error probabilities (HEPs) for 30 nuclear power and reprocessing (NP&R) tasks. The results for all three techniques were positive in terms of significant correlations, and general precision levels of 72% of all HEP estimates within a factor of 10 of the true value (unknown to the assessors). These results lend support to the empirical validity of these techniques in particular, and to HRA in general. However, the results were not all positive. In particular the consistency of usage of the techniques was variable. Additionally, subjects were generally not good at knowing their own uncertainty, i.e. they were not able to accurately predict when they were accurate nor when they were inaccurate. This desirable parameter is known as calibration, and the results from the validation suggested that subjects were not well-calibrated. This paper aims to determine how consistency of usage can be improved and to discern whether certain task types are, in practice, not well-assessed by the techniques, and hence are effectively currently beyond these techniques' abilities. Such information is aimed at aiding the HRA practitioner, or the ergonomist, interested in using these techniques. Recommendations for improving calibration are also discussed in this paper. A subsidiary but important focus of this paper is of a more fundamental nature, and of more general interest to the ergonomist. It concerns the validity of the techniques from an error reduction perspective. Currently these techniques may be used to identify how to reduce error probability, which is generally (in the qualitative sense) within the domain of ergonomics. One major mechanism for HRA-based error reduction is the utilisation of Performance Shaping Factor (PSF) information. This paper considers the validity of these PSF as ergonomics constructs. Drawing results from the validation exercise, it is seen how different PSF can be applied to the same scenario and can result in the same error probability, but will result in different error reduction guidance. It is therefore recommended that error reduction guidance must be based on a composite analysis of the results of the task, error identification and quantification analyses, with most weighting given to the qualitative analyses.
---
paper_title: The validation of three human reliability quantification techniques - THERP, HEART and JHEDI: part 1 - technique descriptions and validation issues.

paper_content:

This is the first of a set of three papers reviewing the validity of three Human Reliability Assessment (HRA) techniques used in the UK to predict human performance in high risk industries. The techniques are used to determine the risks inherent in such industries due to human error, and also the benefit in terms of risk reduction by having human operators in the system. These techniques culminate in a quantitative human error probability for each error or failure identified, predicting how often errors or failed performance will occur. The major question with such an approach is whether such probabilities are accurate. This key validation question is answered in the second paper, which reports the results of a large and independent validation experiment. Once a technique achieves some degree of predictive validity, the next question becomes whether such a technique can consistently produce valid and accurate results. This is called the reliability of the technique, and is dependent upon its consistency of usage by different assessors. Consistency can only be analysed by investigating the detailed usage of the techniques, and such an analysis is reported in the third paper in this series. The advantage of such an analysis is that it can also lead to specification of practical guidance for practitioners, and may lead to derivation of ways to improve the reliability and consistency of usage of specific HRA techniques. This first paper introduces the three techniques themselves, and reviews the major validation criteria and issues which should be considered when trying to determine if such techniques work.
---
paper_title: Cognitive Reliability And Error Analysis Method Cream

paper_content:

cognitive reliability and error analysis method cream is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the cognitive reliability and error analysis method cream is universally compatible with any devices to read.
---
paper_title: On the way to assess errors of commission

paper_content:

Abstract In January 2002, the OECD-NEA (Organization for the Economic Cooperation and Development, Nuclear Energy Agency) Working Group Risk (WGRISK) held a workshop at on Human Reliability data needs and potential solutions. The workshop was initiated to exchange the possibilities to proceed in the area of assessing errors of commission, those interventions of operators that are not required from the system point of view and aggravate the scenario evolution. A common sense in the research on errors of commission is that the respective HRA methods require a more profound database than the classical HRA methods. This paper summarizes the discussion of the workshop. It discusses the various data sources and their use in HRA, the problems that make it difficult to get appropriate data for HRA, and possible approaches to overcome this bottleneck in HRA.
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paper_title: Inclusion of fatigue effects in human reliability analysis

paper_content:

The effect of fatigue on human performance has been observed to be an important factor in many industrial accidents. However, defining and measuring fatigue is not easily accomplished. This creates difficulties in including fatigue effects in probabilistic risk assessments (PRA) of complex engineering systems that seek to include human reliability analysis (HRA). Thus the objectives of this paper are to discuss (1) the importance of the effects of fatigue on performance, (2) the difficulties associated with defining and measuring fatigue, (3) the current status of inclusion of fatigue in HRA methods, and (4) the future directions and challenges for the inclusion of fatigue, specifically sleep deprivation, in HRA.
---
paper_title: A taxonomy of performance influencing factors for human reliability analysis of emergency tasks

paper_content:

Abstract This paper introduces the process for, and the result of, the selection of performance influencing factors (PIFs) for the use in human reliability analysis (HRA) of emergency tasks in nuclear power plants. The approach taken in this study largely consists of three steps. First, a full-set PIF system is constructed from the collection and review of existing PIF taxonomies. Secondly, PIF candidates are selected from the full-set PIF system, considering the major characteristics of emergency situations and the basic criteria of PIF for use in HRA. Finally, a set of PIFs is established by structuring representative PIFs and their detailed subitems from the candidates. As a result, a set of PIFs comprised of the 11 representative PIFs and 39 subitems was developed.
---
paper_title: The origins of the SPAR-H method’s performance shaping factor multipliers

paper_content:

The Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method has proved to be a reliable, easy-to-use method for human reliability analysis. Calculation of human error probability (HEP) rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action oriented tasks, and incorporating performance shaping factor (PSF) multipliers upon those nominal error rates. SPAR-H uses eight PSFs with multipliers typically corresponding to nominal, degraded, and severely degraded human performance for individual PSFs. Additionally, some PSFs feature multipliers to reflect enhanced performance. Although SPAR-H enjoys widespread use among industry and regulators, current source documents on SPAR-H such as NUREG/CR-6883 do not provide a clear account of the origin of these multipliers. The present paper redresses this shortcoming and documents the historic development of the SPAR-H PSF multipliers, from the initial use of nominal error rates, to the selection of the eight PSFs, to the mapping of multipliers to available data sources such as a Technique for Human Error Rate Prediction (THERP). Where error rates were not readily derived from THERP and other sources, expert judgment was used to extrapolate appropriate values. In documenting key background information on the multipliers, this paper provides a much needed cross-reference for human reliability practitioners and researchers of SPAR-H to validate analyses and research findings.
---
paper_title: The validation of three human reliability quantification techniques--THERP, HEART and JHEDI: Part III--Practical aspects of the usage of the techniques.

paper_content:

This is the third paper in a series of three dealing with the detailed investigation of the empirical validity of three human reliability assessment (HRA) techniques. The first paper introduced the need for validation and specified the three techniques most requiring validation. The second paper detailed the results of an extensive independent validation experiment. This experimental validation involved 30 UK assessors using the techniques THERP, HEART and JHEDI (10 assessors per technique) to estimate the human error probabilities (HEPs) for 30 nuclear power and reprocessing (NP&R) tasks. The results for all three techniques were positive in terms of significant correlations, and general precision levels of 72% of all HEP estimates within a factor of 10 of the true value (unknown to the assessors). These results lend support to the empirical validity of these techniques in particular, and to HRA in general. However, the results were not all positive. In particular the consistency of usage of the techniques was variable. Additionally, subjects were generally not good at knowing their own uncertainty, i.e. they were not able to accurately predict when they were accurate nor when they were inaccurate. This desirable parameter is known as calibration, and the results from the validation suggested that subjects were not well-calibrated. This paper aims to determine how consistency of usage can be improved and to discern whether certain task types are, in practice, not well-assessed by the techniques, and hence are effectively currently beyond these techniques' abilities. Such information is aimed at aiding the HRA practitioner, or the ergonomist, interested in using these techniques. Recommendations for improving calibration are also discussed in this paper. A subsidiary but important focus of this paper is of a more fundamental nature, and of more general interest to the ergonomist. It concerns the validity of the techniques from an error reduction perspective. Currently these techniques may be used to identify how to reduce error probability, which is generally (in the qualitative sense) within the domain of ergonomics. One major mechanism for HRA-based error reduction is the utilisation of Performance Shaping Factor (PSF) information. This paper considers the validity of these PSF as ergonomics constructs. Drawing results from the validation exercise, it is seen how different PSF can be applied to the same scenario and can result in the same error probability, but will result in different error reduction guidance. It is therefore recommended that error reduction guidance must be based on a composite analysis of the results of the task, error identification and quantification analyses, with most weighting given to the qualitative analyses.
---
paper_title: Human Error Quantification Using Performance Shaping Factors in the SPAR-H Method

paper_content:

This paper describes a cognitively based human reliability analysis (HRA) quantification technique for estimating the human error probabilities (HEPs) associated with operator and crew actions at nuclear power plants. The method described here, Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method, was developed to aid in characterizing and quantifying human performance at nuclear power plants. The intent was to develop a defensible method that would consider all factors that may influence performance. In the SPAR-H approach, calculation of HEP rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action-oriented tasks, and incorporating performance shaping factor multipliers upon those nominal error rates.
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paper_title: Development of a qualitative evaluation framework for performance shaping factors (PSFs) in advanced MCR HRA

paper_content:

Abstract Human reliability analysis (HRA) is performed as part of the probabilistic risk assessment to identify and quantify human actions and the associated impacts on structures, systems, and components of complex facilities. In performing HRA, conditions that influence human performance have been analyzed in terms of several context factors. These context factors, which are called performance shaping factors (PSFs) are used to adjust the basic human error probability (BHEP), and PSFs have been derived in various ways depending on the HRA methods used. As the design of instrumentation and control (I&C) systems for nuclear power plants (NPPs) is rapidly moving toward fully digital I&C, and modern computer techniques have been gradually introduced into the design of advanced main control room (MCR), computer-based human–system interfaces (HSIs), such as CRT-based displays, large display panels (LDPs), advanced information systems, soft control, and computerized procedure system (CPS) will be applied in advanced MCR. Environmental changes in MCR have some implications for PSFs, and they have an influence on when PSFs should be applied in HRA because different situations might induce different internal or external factors which can lead to human errors. In this study, PSFs for advanced MCR HRA are derived, and a new qualitative evaluation framework for these PSFs is suggested. First, PSFs from various HRA methods are collected, and these PSFs are further grouped into PSFs categories to be used in advanced MCR HRA. Second, human factor (HF) issues in advanced MCR are analyzed and derived to be used as an evaluation framework for PSFs.
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paper_title: Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model

paper_content:

This is the first in a series of five papers that discuss the information, decision, and action in crew context (IDAC) model for human reliability analysis (HRA). An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room-operating crew during an accident for use in probabilistic risk assessments. The operator response spectrum includes cognitive, emotional, and physical activities during the course of the accident. This paper provides an overview of the IDAC architecture and principles of implementation as a HRA model. IDAC includes a crew model of three types of operators: decision maker, action taker, and consultant. Within the crew context, each individual operator's behaviors are simulated through a cognitive model under the influence of a number of explicitly modeled performance-influencing factors.
---
paper_title: The validation of three human reliability quantification techniques - THERP, HEART and JHEDI: part 1 - technique descriptions and validation issues.

paper_content:

This is the first of a set of three papers reviewing the validity of three Human Reliability Assessment (HRA) techniques used in the UK to predict human performance in high risk industries. The techniques are used to determine the risks inherent in such industries due to human error, and also the benefit in terms of risk reduction by having human operators in the system. These techniques culminate in a quantitative human error probability for each error or failure identified, predicting how often errors or failed performance will occur. The major question with such an approach is whether such probabilities are accurate. This key validation question is answered in the second paper, which reports the results of a large and independent validation experiment. Once a technique achieves some degree of predictive validity, the next question becomes whether such a technique can consistently produce valid and accurate results. This is called the reliability of the technique, and is dependent upon its consistency of usage by different assessors. Consistency can only be analysed by investigating the detailed usage of the techniques, and such an analysis is reported in the third paper in this series. The advantage of such an analysis is that it can also lead to specification of practical guidance for practitioners, and may lead to derivation of ways to improve the reliability and consistency of usage of specific HRA techniques. This first paper introduces the three techniques themselves, and reviews the major validation criteria and issues which should be considered when trying to determine if such techniques work.
---
paper_title: Cognitive Reliability And Error Analysis Method Cream

paper_content:

cognitive reliability and error analysis method cream is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the cognitive reliability and error analysis method cream is universally compatible with any devices to read.
---
paper_title: Inclusion of fatigue effects in human reliability analysis

paper_content:

The effect of fatigue on human performance has been observed to be an important factor in many industrial accidents. However, defining and measuring fatigue is not easily accomplished. This creates difficulties in including fatigue effects in probabilistic risk assessments (PRA) of complex engineering systems that seek to include human reliability analysis (HRA). Thus the objectives of this paper are to discuss (1) the importance of the effects of fatigue on performance, (2) the difficulties associated with defining and measuring fatigue, (3) the current status of inclusion of fatigue in HRA methods, and (4) the future directions and challenges for the inclusion of fatigue, specifically sleep deprivation, in HRA.
---
paper_title: A taxonomy of performance influencing factors for human reliability analysis of emergency tasks

paper_content:

Abstract This paper introduces the process for, and the result of, the selection of performance influencing factors (PIFs) for the use in human reliability analysis (HRA) of emergency tasks in nuclear power plants. The approach taken in this study largely consists of three steps. First, a full-set PIF system is constructed from the collection and review of existing PIF taxonomies. Secondly, PIF candidates are selected from the full-set PIF system, considering the major characteristics of emergency situations and the basic criteria of PIF for use in HRA. Finally, a set of PIFs is established by structuring representative PIFs and their detailed subitems from the candidates. As a result, a set of PIFs comprised of the 11 representative PIFs and 39 subitems was developed.
---
paper_title: The origins of the SPAR-H method’s performance shaping factor multipliers

paper_content:

The Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method has proved to be a reliable, easy-to-use method for human reliability analysis. Calculation of human error probability (HEP) rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action oriented tasks, and incorporating performance shaping factor (PSF) multipliers upon those nominal error rates. SPAR-H uses eight PSFs with multipliers typically corresponding to nominal, degraded, and severely degraded human performance for individual PSFs. Additionally, some PSFs feature multipliers to reflect enhanced performance. Although SPAR-H enjoys widespread use among industry and regulators, current source documents on SPAR-H such as NUREG/CR-6883 do not provide a clear account of the origin of these multipliers. The present paper redresses this shortcoming and documents the historic development of the SPAR-H PSF multipliers, from the initial use of nominal error rates, to the selection of the eight PSFs, to the mapping of multipliers to available data sources such as a Technique for Human Error Rate Prediction (THERP). Where error rates were not readily derived from THERP and other sources, expert judgment was used to extrapolate appropriate values. In documenting key background information on the multipliers, this paper provides a much needed cross-reference for human reliability practitioners and researchers of SPAR-H to validate analyses and research findings.
---
paper_title: Using Information from Operating Experience to Inform Human Reliability Analysis

paper_content:

This paper reports on efforts being sponsored by the U.S. NRC and performed by INEEL to develop a technical basis and perform work to extract information from sources for use in HRA. The objectives of this work are to: 1) develop a method for conducting risk-informed event analysis of human performance information that stems from operating experience at nuclear power plants and for compiling and documenting the results in a structured manner; 2) provide information from these analyses for use in risk-informed and performance-based regulatory activities; 3) create methods for information extraction and a repository for this information that, likewise, support HRA methods and their applications.
---
paper_title: MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS

paper_content:

This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
---
paper_title: Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 3: IDAC operator response model

paper_content:

This is the third in a series of five papers describing the IDAC (Information, Decision, and Action in Crew context) model for human reliability analysis. An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room operating crew in accident conditions. The operator response spectrum includes cognitive, emotional, and physical activities during the course of an accident. This paper discusses the modeling components and their process rules. An operator's problem-solving process is divided into three types: information pre-processing (I), diagnosis and decision-making (D), and action execution (A). Explicit and context-dependent behavior rules for each type of operator are developed in the form of tables, and logical or mathematical relations. These regulate the process and activities of each of the three types of response. The behavior rules are developed for three generic types of operator: Decision Maker, Action Taker, and Consultant. This paper also provides a simple approach to calculating normalized probabilities of alternative behaviors given a context.
---
paper_title: Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model

paper_content:

This is the first in a series of five papers that discuss the information, decision, and action in crew context (IDAC) model for human reliability analysis (HRA). An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room-operating crew during an accident for use in probabilistic risk assessments. The operator response spectrum includes cognitive, emotional, and physical activities during the course of the accident. This paper provides an overview of the IDAC architecture and principles of implementation as a HRA model. IDAC includes a crew model of three types of operators: decision maker, action taker, and consultant. Within the crew context, each individual operator's behaviors are simulated through a cognitive model under the influence of a number of explicitly modeled performance-influencing factors.
---
paper_title: Modelling and assessment of dependent performance shaping factors through Analytic Network Process

paper_content:

Despite continuous progresses in research and applications, one of the major weaknesses of current HRA methods dwells in their limited capability of modelling the mutual influences between performance shaping factors (PSFs). Indeed at least two types of dependencies between PSFs can be defined: (i) dependency between the states of the PSFs; (ii) dependency between the influences (impacts) of the PSFs on the human performance. This paper introduces a method, based on Analytic Network Process (ANP), for the quantification of the latter, where the overall contribution of each PSF (weight) to the human error probability (HEP) is eventually returned. The core of the method is the modelling process, articulated into two steps: firstly, a qualitative network of dependencies between PSFs is identified, then, the importance of each PSF is quantitatively assessed using ANP. The model allows to distinguish two components of the PSF influence: direct influence that is the influence that the considered PSF is able to express by itself, notwithstanding the presence of other PSFs and indirect influence that is the incremental influence of the considered PSF through its influence on other PSFs. A case study in Air Traffic Control is presented where the proposed approach is integrated into the cognitive simulator PROCOS. The results demonstrated a significant modification of the influence of PSFs over the operator performance when dependencies are taken into account, underlining the importance of considering not only the possible correlation between the states of PSFs but also their mutual dependency in affecting human performance in complex systems.
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paper_title: Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 5: Dynamic probabilistic simulation of the IDAC model

paper_content:

This is the last in a series of five papers that discuss the Information Decision and Action in Crew (IDAC) context for human reliability analysis (HRA) and example application. The model is developed to probabilistically predict the responses of the control room operating crew in nuclear power plants during an accident, for use in probabilistic risk assessments (PRA). The operator response spectrum includes cognitive, emotional, and physical activities during the course of an accident. This paper describes a dynamic PRA computer simulation program, accident dynamics simulator (ADS), developed in part to implement the IDAC model. This paper also provides a detailed example of implementing a simpler version of IDAC, compared with the IDAC model discussed in the first four papers of this series, to demonstrate the practicality of integrating a detailed cognitive HRA model within a dynamic PRA framework.
---
paper_title: Modelling and simulation of human behaviour for safety analysis and control of complex systems

paper_content:

Abstract This paper discusses the needs and current trends of research in Human–Machine Studies (HMS) focusing on the role of simulation models in safety analysis and in design of decision support tools. The perspectives and limits of application of complex approaches, such as cognitive models and dynamic simulations of human–machine interaction, are reviewed, discussing existing methods and implementation architectures.
---
paper_title: Dynamic Human Reliability Analysis: Benefits and Challenges of Simulating Human Performance

paper_content:

To date, there has been considerable work on dynamic event trees and other areas related to dynamic probabilistic safety assessment (PSA). The counterpart to these efforts in human reliability analysis (HRA) has centered on the development of specific methods to account for the dynamic nature of human performance. In this paper, the author posits that the key to dynamic HRA is not in the development of specific methods but in the utilization of cognitive modeling and simulation to produce a framework of data that may be used in quantifying the likelihood of human error. This paper provides an overview of simulation approaches to HRA; reviews differences between first, second, and dynamic generation HRA; and outlines potential benefits and challenges of this approach.
---
paper_title: Using Information from Operating Experience to Inform Human Reliability Analysis

paper_content:

This paper reports on efforts being sponsored by the U.S. NRC and performed by INEEL to develop a technical basis and perform work to extract information from sources for use in HRA. The objectives of this work are to: 1) develop a method for conducting risk-informed event analysis of human performance information that stems from operating experience at nuclear power plants and for compiling and documenting the results in a structured manner; 2) provide information from these analyses for use in risk-informed and performance-based regulatory activities; 3) create methods for information extraction and a repository for this information that, likewise, support HRA methods and their applications.
---
paper_title: Need for recovery in the working population: Description and associations with fatigue and psychological distress

paper_content:

This study examined the concept of need for recovery, that is the need to recuperate from work-induced fatigue, experienced after a day of work. The study explored the relationship between need for recovery from work, prolonged fatigue, and psychological distress in the working population. A cross-sectional study was carried out. Data of the Maastricht Cohort Study on fatigue at work were used (n = 12,095). Some degree of need for recovery was found in nearly all employees. Need for recovery from work was associated with demographic, work-related, and health factors. Principal Components Analysis revealed obvious separation between need for recovery items and both fatigue items and psychological distress items, supporting the notion that need for recovery, fatigue, and psychological distress represent different underlying concepts. Although need for recovery, fatigue, and psychological distress were frequently comorbid, they also clearly occurred as separate entities.
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paper_title: Work interrupted: A closer look at the role of interruptions in organizational life [Note

paper_content:

We discuss four key types of work interruptions—intrusions, breaks, distractions, and discrepancies—having different causes and consequences, and we delineate the principle features of each and spe...
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paper_title: Rest breaks and accident risk

paper_content:

Regular rest breaks are recommended to prevent accumulation of accident risk during sustained activities. We examined the effect of rest breaks on temporal trends in industrial accident risk, by assessment of accident records from a large engineering company, obtained over 3 years. In 2 h of continuous work, relative risk of an accident in the last half-hour of a shift was 2.08 (95% CI 1.73-2.43) higher than in the first half-hour. Trends in risk did not seem to differ between three 2-h work periods. Regular rest breaks seem to be an effective way to control accumulation of risk during industrial shift-work.
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paper_title: Computer terminal work and the benefit of microbreaks

paper_content:

Microbreaks are scheduled rest breaks taken to prevent the onset or progression of cumulative trauma disorders in the computerized workstation environment. The authors examined the benefit of microbreaks by investigating myoelectric signal (MES) behavior, perceived discomfort, and worker productivity while individuals performed their usual keying work. Participants were randomly assigned to one of three experimental groups. Each participant provided data from working sessions where they took no breaks, and from working sessions where they took breaks according to their group assignment: microbreaks at their own discretion (control), microbreaks at 20 min intervals, and microbreaks at 40 min intervals. Four main muscle areas were studied: the cervical extensors, the lumbar erector spinae, the upper trapezius/supraspinatus, and the wrist and finger extensors. The authors have previously shown that when computer workers remained seated at their workstation, the muscles performing sustained postural contractions displayed a cyclic trend in the mean frequency (MNF) of the MES (McLean et al., J. Electrophysiol. Kinesiol. 10 (1) (2000) 33). The data provided evidence (p < 0.05) that all microbreak protocols were associated with a higher frequency of MNF cycling at the wrist extensors, at the neck when microbreaks were taken by the control and 40 min protocol groups, and at the back when breaks were taken by the 20 and 40 min protocol groups. No significant change in the frequency of MNF cycling was noted at the shoulder. It was determined (p < 0.05) that microbreaks had a positive effect on reducing discomfort in all areas studied during computer terminal work, particularly when breaks were taken at 20 min intervals. Finally, microbreaks showed no evidence of a detrimental effect on worker productivity. The underlying cause of MNF cycling, and its relationship to the development of discomfort or cumulative trauma disorders remains to be determined.
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paper_title: Shift work, safety and productivity

paper_content:

The arguments in favour of introducing shift work clearly depend on productivity and safety being maintained at an acceptable level. However, the evidence reviewed in this paper clearly indicates that both productivity and safety may be compromised at night. More specifically, safety declines over successive night shifts, with increasing hours on duty and between successive rest breaks. The only known way to minimize these problems is to improve shift systems with respect to these factors. However, these factors need to be considered in combination with one another since, for example, a long night shift that includes frequent rest breaks might well prove safer than a shorter night shift with less frequent breaks.
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paper_title: Effects of software programs stimulating regular breaks and exercises on work-related neck and upper-limb disorders

paper_content:

Objectives. This study evaluated the effects on work-related neck and upper-limb disorders among computer workers stimulated (by a software program) to take regular breaks and perform physical exercises. Possible effects on sick leave and productivity were studied as well. Methods. A randomized controlled design was used with cluster randomization. Altogether 268 computer workers with complaints in the neck or an upper limb from 22 office locations were randomized into a control group, one intervention group stimulated to take extra breaks and one intervention group stimulated to perform exercises during the extra breaks during an 8-week period. Questionnaires were administered before and after the intervention, and questions were generated by the software during the intervention period. Computer usage was recorded online. Results. The data on self-reported recovery suggested a favorable effect; more subjects in the intervention groups than in the control group reported recovery (55% versus 34%) from their complaints and fewer reported deterioration (4% versus 20%). However, a comparison between the reported pre- and postintervention scores on the severity and frequency of the complaints showed no significant differences in the change among the three groups. No effects on sick leave were observed. The subjects in the intervention groups showed higher productivity. Conclusions. The use of a software program stimulating workers to take regular breaks contributes to perceived recovery from neck or upper-limb complaints. There seems to be no additional effects from performing physical exercises during these breaks. This work is licensed under a Creative Commons Attribution 4.0 International License.
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paper_title: Modelling and assessment of dependent performance shaping factors through Analytic Network Process

paper_content:

Despite continuous progresses in research and applications, one of the major weaknesses of current HRA methods dwells in their limited capability of modelling the mutual influences between performance shaping factors (PSFs). Indeed at least two types of dependencies between PSFs can be defined: (i) dependency between the states of the PSFs; (ii) dependency between the influences (impacts) of the PSFs on the human performance. This paper introduces a method, based on Analytic Network Process (ANP), for the quantification of the latter, where the overall contribution of each PSF (weight) to the human error probability (HEP) is eventually returned. The core of the method is the modelling process, articulated into two steps: firstly, a qualitative network of dependencies between PSFs is identified, then, the importance of each PSF is quantitatively assessed using ANP. The model allows to distinguish two components of the PSF influence: direct influence that is the influence that the considered PSF is able to express by itself, notwithstanding the presence of other PSFs and indirect influence that is the incremental influence of the considered PSF through its influence on other PSFs. A case study in Air Traffic Control is presented where the proposed approach is integrated into the cognitive simulator PROCOS. The results demonstrated a significant modification of the influence of PSFs over the operator performance when dependencies are taken into account, underlining the importance of considering not only the possible correlation between the states of PSFs but also their mutual dependency in affecting human performance in complex systems.
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paper_title: A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks

paper_content:

Organizational factors are the major root causes of human errors, while there have been no formal causal model of human behavior to model the effects of organizational factors on human reliability. The purpose of this paper is to develop a fuzzy Bayesian network (BN) approach to improve the quantification of organizational influences in HRA (human reliability analysis) frameworks. Firstly, a conceptual causal framework is built to analyze the causal relationships between organizational factors and human reliability or human error. Then, the probability inference model for HRA is built by combining the conceptual causal framework with BN to implement causal and diagnostic inference. Finally, a case example is presented to demonstrate the specific application of the proposed methodology. The results show that the proposed methodology of combining the conceptual causal model with BN approach can not only qualitatively model the causal relationships between organizational factors and human reliability but also can quantitatively measure human operational reliability, and identify the most likely root causes or the prioritization of root causes causing human error.
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paper_title: Dynamic Human Reliability Analysis: Benefits and Challenges of Simulating Human Performance

paper_content:

To date, there has been considerable work on dynamic event trees and other areas related to dynamic probabilistic safety assessment (PSA). The counterpart to these efforts in human reliability analysis (HRA) has centered on the development of specific methods to account for the dynamic nature of human performance. In this paper, the author posits that the key to dynamic HRA is not in the development of specific methods but in the utilization of cognitive modeling and simulation to produce a framework of data that may be used in quantifying the likelihood of human error. This paper provides an overview of simulation approaches to HRA; reviews differences between first, second, and dynamic generation HRA; and outlines potential benefits and challenges of this approach.
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Title: An Overview of Human Reliability Analysis Techniques in Manufacturing Operations

Section 1: Introduction
Description 1: Introduce the concept of human reliability in manufacturing, discussing its importance and the impact of human errors on system reliability.

Section 2: Literature review of HRA methods
Description 2: Provide an overview of the existing Human Reliability Analysis (HRA) methods, their evolution, and categorization into first and second generations.

Section 3: First generation HRA methods
Description 3: Detail the first generation HRA methods, including their characteristics, approaches, and limitations.

Section 4: Second generation HRA methods
Description 4: Discuss the second generation of HRA methods, highlighting the improvements over the first generation and focusing on cognitive and qualitative aspects of human reliability.

Section 5: Last generation
Description 5: Address the recent developments in HRA, including dynamic HRA methods and simulation models, and discuss limitations and areas for further research.

Section 6: Literature review of rest breaks
Description 6: Review the impact of work breaks on productivity and human reliability, and discuss how proper break management can reduce human errors.

Section 7: Research perspectives in HRA
Description 7: Highlight the future research directions and potential improvements in HRA methods, including more robust scientific bases and integration with other advanced techniques.

Section 8: Author details
Description 8: Provide information about the authors and their affiliations.