OHS inspectors and psychosocial risk factors: Evidence from Australia

Legislation giving prominence to psychosocial risk factors at work has changed the role of government occupational health and safety (OHS) inspectors in many countries. Yet little is known about how inspectorates have responded to these changes. Between 2003 and 2007 an Australian study was undertaken on OHS standards, entailing detailed documentary analysis, interviews with 36 inspectorate managers and 89 inspectors, and observations made when researchers accompanied inspectors on 120 typical workplace visits. Our study found that general duty provisions in OHS legislation clearly incorporated psychosocial hazards and inspectorates had introduced guidance material, pursued campaigns and increased interventions in this area. However, the regulatory framework remained narrow (focused on bullying/harassment, occupational violence and work stress) and workplace visits revealed psychosocial hazards as a marginal area of inspectorate activity. These findings were reinforced in interviews. While aware of psychosocial hazards inspectors often saw the issue as problematic due to limited training, resourcing constraints, deficiencies in regulation and fears of victimisation amongst workers. In order to address these problems a number of changes are required that recognize the distinctiveness of psychosocial hazards including their ‘invisibility’. Notable here are revisions to regulation (both general duty provisions and specific codes), the development of comprehensive guidance and assessment tools to be used by inspectors, greater use of procedural enforcement, and enhanced inspectorate resourcing and training. There is also a need to recognize complex inter-linkages between psychosocial hazards and the industrial relations context.     

A socio-technical approach of risk management applied to collisions involving fishing vessels

To make a study of accident and risk management, it is necessary to analyze the socio-technical system in which these accidents occur. The strategies by which the actors involved respond to critical situations can only be understood within their own context, by recognizing the exigencies and constraints of the system in which they operate. According to the chart of migrations and transgressions of professional practices [Amalberti, R., 2001. The paradoxes of almost totally safe transportation systems. Safety Science 37, 109–126], a system, any system, is conceived as responding to the triple pressure of social regulations, available technology and the financial returns of performance. Without curbs or checks, the system would evolve toward an increase in performance and individual profit. Barriers define the boundaries within which operations are considered to be safe.A case-by-case analysis of collisions at sea enabled us to identify two basic causes: undetected signals, and wrong diagnoses. It has also allowed us to define the real operating space of the functional units (fishing vessels) most often involved in collisions, as well as the permeable areas of the safety barriers, through which operations are allowed to migrate toward unsafe zones. As far as the collision risk is concerned, functional units work in a borderline area, close to the limits of safe behavior. To prevent accidents, it will be necessary to reinforce these too-permeable safety barriers, thus limiting the migration factor and bringing the functional units back into an area in which the factors of safety, performance and individual profits are all acceptable.     

Dynamic approach to risk management: Application to the Hoeganaes metal dust accidents

Several major accidents caused by metal dusts were recorded in the past few years. For instance, in 2011, three accidents caused by iron dust killed five workers at the Hoeganaes Corp. facility in Gallatin, Tennessee (USA). In order to prevent such accidents, a dynamic approach to risk management was defined in this study. The method is able to take into account new risk notions and early warnings and to systematically update the related risk. It may be applied not only in the design phase of a system, but also throughout the system lifetime as a support to a more precise and robust decision making process. The synergy of two specific techniques for hazard identification and risk assessment was obtained: the Dynamic Procedure for Atypical Scenarios Identification (DyPASI) and the Dynamic Risk Assessment (DRA) methods. To demonstrate its effectiveness, this approach was applied to the analysis of Gallatin metal dust accidents. The application allowed collecting a number of risk notions related to the plant, equipment and materials used. The analysis of risk notions by means of this dynamic approach could have led to enhanced hazard identification and dynamic real-time risk assessment. However, the approach described is effective only if associated to a proper safety culture, in order to produce an appropriate and robust decision making response to emerging risk issues.     

A new practical approach to risk management for underground mining project in Quebec

The mining industry worldwide is currently experiencing an economic boom that is contributing to economic recovery and social progress in many countries. For this to continue, the mining industry must meet several challenges associated with the start-up of new projects. In a highly complex and uncertain environment, rigorous management of risks remains indispensable in order to repel threats to the success of mining.In this article, a new practical approach to risk management in mining projects is presented. This approach is based on a novel concept called “hazard concentration” and on the multi-criteria analysis method known as the Analytic Hierarchy Process (AHP). The aim of the study is to extend the use of this approach to goldmines throughout Quebec. The work is part of a larger research project of which the aim is to propose a method suitable for managing practically all risks inherent in mining projects.This study shows the importance of taking occupational health and safety (OHS) into account in all operational activities of the mine. All project risks identified by the team can be evaluated. An adaptable database cataloguing about 250 potential hazards in an underground goldmine was constructed. In spite of limitations, the results obtained in this study are potentially applicable throughout the Quebec mining sector.     

Dynamic management of human error to reduce total risk

Safety management in companies at the limit of risk criteria must be implemented in order to survive in the very aggressive and competitive environment of modern society. It implies that the risk in process industries is crossing the limit of safe practices. Most major accidents consist of human errors and mechanical component failures, and cannot be explained by a stochastic coincidence of independent events. This work focuses on the coincidence of human error and mechanical failure to introduce a concept of dynamic management of human error. By the dynamic management of human error during a short period, when a mechanical component is temporarily unavailable during periodic testing or maintenance, the probability of a major accident may be reduced significantly without additional investment on improving safety. For the periodically-tested standby component, the majority of total average unavailability of the component may be recognized by operators or workers as well as maintenance mechanics. During this short period, an appropriate dynamic management of human error for improving human performance temporarily may be very effective in reducing total risk in industries. The dynamic management of human error may be a useful method to prevent loss effectively in the process industries     

Assessment model for equipment risk management: Petrochemical industry cases

This study presents an assessment model that examines quantity and quality factors for equipment risk management in the petrochemical industry. The proposed model has five dimensions—financial performance, logistical support, service level, learning and innovation, and risk control. This evaluation model uses 13 strategy subjects and 78 performance-measurement indicators. Performance assessment indicators are initially established and revised based on expert opinions collected via a questionnaire. Further, the analytical network process (ANP) is utilized to calculate the weights of indicators in each layer and to construct assessment models with applicable and valuable references. To determine model practicability, this study assesses four subsidiaries of the case company. Each subsidiary has a capitalization exceeding TWD 50 billion. In addition to evaluating company performance in terms of each dimension and indicator, the proposed model provides a valuable reference for decision-making in equipment risk management.     

A taxonomy of performance influencing factors for human reliability analysis of emergency tasks

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.     

A new approach to quantitative assessment of reliability of passive systems

The objective of this paper is to show how probabilistic reliability can be assessed for complex systems in the absence of statistical data on their operating experience, based on performance evaluation of the dominant underlying physical processes. The approach is to distinguish between functional and performance probabilities when dealing with the quantification of the overall probability of a system to perform a given function in a given period of time (reliability). In the case of systems where sufficient statistical operating experience data are available, one can focus the quantitative evaluation entirely on the assessment of the functional probability for a given active item (e.g. a pump) by assuming that the specification, layout, construction and installation is such that the item is providing the assigned performance, e.g. in the form of generating the required flow rate. This is how traditional probabilistic safety assessments (PSAs) focus the reliability analysis for the various safety features on the calculation of values for the availability per demand. In contrast, for various systems relevant in advanced technical applications, such as passive safety features in innovative reactor designs, it is essential to evaluate both functional and performance probabilities explicitly and combine the two probabilities later on. This is of course due to the strong reliance of passive safety systems on inherent physical principles. In practice, this means that, for example, in case of a passive cooling system based on natural circulation of a given medium, one has to evaluate and to assess the probability to have a medium condition and a flow rate such that a cladding temperature, represented by a probability distribution, can be hold at a required level. A practical example of this method is given for the case of the reliability assessment of a residual passive heat removal system. General conclusions are drawn regarding reliability estimation of complex, interconnected systems in the absence of statistical performance data, such as for infrastructures.     

Perceptions of industrial risk and emergency management procedures in Hazmat Logistics: A qualitative mental model approach

In the industrial risk field, Hazmat Logistics research is growing as a sector of special relevance. The road transport of these substances is an activity with an elevated risk, involving drivers, logistics systems, industries, infrastructures, urban areas, etc.In the study of risk and safety of the logistics of hazardous materials there is a special relevance for new and complex elements, as human factors and mental models involved in managing critical incidents ‘‘on the road”. Moreover, the ‘‘emergency management training” of human resources in this field is often limited, and this represents another factor of vulnerability.In collaboration with SBG (one of the leading European Hazmat Logistics corporations), we developed a quali-quantitative study on cognitive representations and semantic perceptions of risk and emergency management procedures in tanker drivers. The main innovation of the study, with the direct involvement of the stakeholder and 47 drivers, is represented by the construction and use of ‘‘ad hoc” psychometrical and knowledge-elicitation, allowing a deeper analysis of workers’ mental models.The application of PCP tools of adapted RepGrid and Landfield Laddering Procedures allows to analyze some of the main qualitative structures of mental models held by drivers about Hazmat Logistics. Through the analysis of these mental models, it could become possible to set up efficient preventive actions for this type of industrial risk. We are going to discuss the consequences of these findings and methodological approaches for the industrial risk-and-safety field.     

Wrong-way driving crashes: A multiple correspondence approach to identify contributing factors

Objective: Wrong-way driving (WWD) crashes result in 1.34 fatalities per fatal crash, whereas for other non-WWD fatal crashes this number drops to 1.10. As such, further in-depth investigation of WWD crashes is necessary. The objective of this study is 2-fold: to identify the characteristics that best describe WWD crashes and to verify the factors associated with WWD occurrence.

Methods: We collected and analyzed 15 years of crash data from the states of Illinois and Alabama. The final data set includes 398 WWD crashes. The rarity of WWD events and the consequently small sample size of the crash database significantly influence the application of conventional log-linear models in analyzing the data, because they use maximum-likelihood estimation. To overcome this issue, in this study, we employ multiple correspondence analysis (MCA) to define the structure of the crash data set and identify the significant contributing factors to WWD crashes on freeways.

Results: The results of the present study specify various factors that characterize and influence the probability of WWD crashes and can thus lead to the development of several safety countermeasures and recommendations. According to the obtained results, factors such as driver age, driver condition, roadway surface conditions, and lighting conditions were among the most significant contributors to WWD crashes.

Conclusions: Despite many other methods that identify only the contributing factors, this method can identify possible associations between various contributing factors. This is an inherent advantage of the MCA method, which can provide a major opportunity for state departments of transportation (DOTs) to select safety countermeasures that are associated with multiple safety benefits.     

Natech guide words: A new approach to assess and manage natech risk to ensure business continuity

The risk posed by natural hazards to the technological systems is known as Natech risk. It is different from the more widely known and studied risk posed by such sites to the environment and society. Though currently, available risk assessment techniques recognize Natech, the specific qualitative technique for Natech risk assessment and reduction has not yet been developed. After analyzing past data of Natech accidents, relevant guide words have been suggested in this study. These guide words will help anticipate Natech risk and visualize the Natech scenario. Once the Natech risk is identified, corresponding risk reduction measures can be taken to avoid possible Natech accidents and consequences.     

Comprehensive framework for underground pipeline management with reliability and cost factors using Monte Carlo simulation

A reliability model for underground pipeline management that can quantify the trade-off between risk reduction and increased maintenance costs in various underground piping management scenarios can be useful for many pipeline-maintenance decision-makers. In this paper, we propose a comprehensive framework for analyzing underground pipeline management options. Pipeline reliability is calculated using time-dependent and independent limit state functions with a probabilistic model and a deterministic model about the frequency of a failure occurrence event. The proposed framework includes the target reliability, consequences, and cost model, and has the advantage that it can be intuitively utilized for piping management decision-making. We conducted several case studies using a Monte Carlo simulation on pipelines in industrial complexes in Korea.     

A Bayesian approach to construct bow tie diagrams for risk evaluation

Bow tie diagrams have become a popular method for risk analysis and safety management. This tool describes the whole scenario of a given risk graphically, and proposes preventive and protective barriers to reduce, respectively, its occurrence and its severity. The weakness of bow tie diagrams is that they are restricted to a graphical representation of different scenarios exclusively designed by experts that ignore the dynamic aspect of real systems. Thus, constructing bow tie diagrams in an automatic and dynamic way remains a real challenge. This paper proposes a new Bayesian approach to construct bow tie diagrams from real data and improve them by adding a new numerical that enables us to implement the appropriate preventive and protective barriers in a dynamic manner.     

Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment

Losses of containment within the natural gas network, located in most populated areas, could cause environmental damage, injuries, or even death. Accordingly, it is pivotal to adopt proper approaches to assess and mitigate the risk arising from potential losses. Within this context, it is required to exploit solid reliability and consequence analysis techniques. To this end, this paper presents a methodology established on the integration of a Fuzzy Bayesian Network and consequence simulation. The Bayesian Network is more flexible and realistic than classic approaches because it can consider conditional probabilities and prior information. Furthermore, Leaky Noisy-OR Gates are exploited to allow an easier filling of the Conditional Probability Tables. This task is performed through expert elicitation, adopting Intuitionistic Fuzzy Set Theory and Similarity Aggregation Method. Finally, the severity analysis is performed via a software, named Safeti, which provides an accurate evaluation of the consequences. To show the applicability of the framework, a pressure regulator of a Natural Gas Regulating and Metering Station is considered as case study. The proposed approach can assist asset managers in evaluating the risk arising from the operations, and, accordingly, it can guide them in making maintenance-related decisions to assure the safety of the operations.     

Evidence-based safety (EBS) management: A new approach to teaching the practice of safety management (SM)

Introduction: In safety management (SM), it is important to make an effective safety decision based on the reliable and sufficient safety-related information. However, many SM failures in organizations occur for a lack of the necessary safety-related information for safety decision-making. Since facts are the important basis and foundation for decision-making, more efforts to seek the best evidence relevant to a particular SM problem would lead to a more effective SM solution. Therefore, the new paradigm for decision-making named “evidence-based practice (EBP)” can hold important implications for SM, because it uses the current best evidence for effective decision-making. Methods: Based on a systematic review of existing SM approaches and an analysis of reasons why we need new SM approaches, we created a new SM approach called evidence-based safety (EBS) management by introducing evidence-based practice into SM. Results: It was necessary to create new SM approaches. A new SM approach called EBS was put forward, and the basic questions of EBS such as its definition and core were analyzed in detail. Moreover, the determinants of EBS included manager's attitudes towards EBS; evidence-based consciousness in SM; evidence sources; technical support; EBS human resources; organizational culture; and individual attributes. Conclusions: EBS is a new and effective approach to teaching the practice of SM. Of course, further research on EBS should be carried out to make EBS a reality. Practical applications: Our work can provide a new and effective idea and method to teach the practice of SM. Specifically, EBS proposed in our study can help safety professionals make an effective safety decision based on a firm foundation of high-grade evidence.     

A retro-synthesis approach for hazard evaluation and risk screening

Risk screening instruments can be very useful for evaluating hazards and establishing priorities for risk reduction. Further, these instruments can provide educational value to field staff when they are distributed to individuals outside of traditional process safety roles. This paper describes a retro-synthesis technique whereby risk screening instruments can be readily generated for these types of hazard evaluation and priority setting activities. Further, by utilizing a retro-synthesis approach, data gathered at the field level can often be drawn upon at a later point if a more detailed risk assessment is required. The retro-synthesis approach involves working backwards from traditional risk functions (relationships) so as to define the predominant elements for incorporation within the risk screening instrument. Compared to conventional techniques, the retro-synthesis approach utilizes deductive reasoning techniques in a manner similar to Fault Tree Analysis (FTA). However, the directional relationships that are established between causes and consequences become inverted.For example, risk can be defined as a function of “likelihood” and “severity”, where “severity” may be a function of the “energy released” and the “exposure group”. Similarly, the “energy released” is often a function of the “properties of the material involved” and the “amount of material released”. Through identifying these relationships, “risk” in this example can be characterized as a function of “likelihood”, “exposure group”, “properties of the material involved”, and “amount of material released”. Further, by highlighting the various influential parameters, the relationships between each of these parameters, as related to risk, can also be understood. Once the various terms and functions are defined, screening categories can then be developed to quantify each of the terms so as to allow for an approximation of the relative risk involved for the given scenarios.This approach benefits from being simple to develop, maintaining alignment with the mathematics required for more detailed quantitative risk assessments, and generating screening categories which can be given to field staff. Through careful construction of the screening categories field staff can then rapidly, and in a reproducible manner, screen a large number of scenarios so as to identify those situations which represent priority hazards.