Applications of resilience engineering principles in different fields with a focus on industrial systems: A literature review

This paper reviews literature that addresses applications of resilience engineering principles to various fields. Recently the concept has attracted great attention from a technical and industrial perspective. The primary focus of this paper is to review the resilience engineering applications to industrial systems with the purpose of applying them to the chemical industry. A systematic review is performed to classify peer-reviewed journal papers that are associated with resilience engineering applications into three categories: industrial systems, ecological systems, and interlinked systems. The literature in the category of industrial systems is further divided based on the type of approaches such as field studies, case studies, methodologies, and mathematical modeling. After thoroughly analyzing the literature, four key research areas are identified: Considering socio-technical factors for resilience assessment efficiently; Inculcating the possibility of multiple disasters in resilience assessment; Design optimization for resilience enhancement; Efficient restoration strategies. All these research areas have not been explored exclusively for chemical facilities to a great extent. It is concluded that if these research areas are addressed appropriately, it would help in triggering the research pertaining to the application of resilience engineering principles in chemical facilities.     

The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): two novel evaluation methods for developing optimal training programs

Current methodologies in training evaluation studies largely employ a single method entitled random confirmatory trials, prompting several concerns. First, practitioners and researchers often analyze the effectiveness of their entire omnibus training, rather than the individual elements or identifiable components of the training program. This slows the testing of theory and development of optimal training programs. Second, a common training is typically administered to all employees within an organization or workgroup; however, certain factors may cause individualized training to be more effective. Given these concerns, the current paper presents two training evaluation methodologies to overcome these problems: the multiphase optimization strategy and sequential multiple assignment randomized trials. The multiphase optimization strategy is a method to evaluate a standard training, which emphasizes the importance of a multi‐stage training evaluation process to analyze individual training elements. In contrast, sequential multiple assignment randomized trial is used to evaluate an adaptive training that varies over time and/or trainees. These methodologies jointly overcome the problems noted earlier, and they can be integrated to address several of the key challenges facing training researchers and practitioners. Copyright © 2016 John Wiley & Sons, Ltd.     

Rating accident models and investigation methodologies

This is a report of research to identify, rate, and rank accident models and accident investigation methodologies. Models and methodologies used in 17 selected government agencies were examined. The examination disclosed 14 accident models and 17 different accident investigation methodologies in those agencies. To determine their relative merit, evaluation criteria and a rating scheme were developed from user data, statutes, applications, and work products, and each model and methodology was rated. The ratings indicated significant differences in their relative merit. The highest rated model and methodology were tested to determine if the estimated ratings were supported by observable differences in actual performance and to compare investigative results against previously reported cases. Differences found prompted further examination of the benefits and problems that would result from implementation of the preferred model and methodology. Additional exploration of comparative performance measurement techniques disclosed further differences affecting the selection decisions. The models, methodologies, criteria, ratings, rankings, test results, and initial measurement findings are summarized in this report. Issues ranging from oversimplification to ethical questions were discovered during this work. The findings strongly suggest that significant accident investigation program changes should be considered in agencies and organizations using lower-ranked accident models or investigation methodologies and that a compelling need exists for more exhaustive research into accident model and accident investigation methodology selection decisions.     

事故树定量分析与安全指标的数学模型的建立

阐述了在该课题研究过程中，提出的一些新概念、新定义和新方法     

Highway safety assessment and improvement through crash prediction by injury severity and vehicle damage using Multivariate Poisson-Lognormal model and Joint Negative Binomial-Generalized Ordered Probit Fractional Split model

Introduction: Predicting crash counts by severity plays a dominant role in identifying roadway sites that experience overrepresented crashes, or an increase in the potential for crashes with higher severity levels. Valid and reliable methodologies for predicting highway accidents by severity are necessary in assessing contributing factors to severe highway crashes, and assisting the practitioners in allocating safety improvement resources. Methods: This paper uses urban and suburban intersection data in Connecticut, along with two sophisticated modeling approaches, i.e. a Multivariate Poisson-Lognormal (MVPLN) model and a Joint Negative Binomial-Generalized Ordered Probit Fractional Split (NB-GOPFS) model to assess the methodological rationality and accuracy by accommodating for the unobserved factors in predicting crash counts by severity level. Furthermore, crash prediction models based on vehicle damage level are estimated using the same two methodologies to supplement the injury severity in estimating crashes by severity when the sample mean of severe injury crashes (e.g., fatal crashes) is very low. Results: The model estimation results highlight the presence of correlations of crash counts among severity levels, as well as the crash counts in total and crash proportions by different severity levels. A comparison of results indicates that injury severity and vehicle damage are highly consistent. Conclusions: Crash severity counts are significantly correlated and should be accommodated in crash prediction models. Practical application: The findings of this research could help select sound and reliable methodologies for predicting highway accidents by injury severity. When crash data samples have challenges associated with the low observed sampling rates for severe injury crashes, this research also confirmed that vehicle damage can be appropriate as an alternative to injury severity in crash prediction by severity.     

高校化学实验室个体防护装备的选择与管理

高校化学实验室在日常教学科研实验活动中会使用到各种易燃易爆及有毒有害危险化学品,也可能会接触到某些压力容器及机械等设备,在化学实验过程中存在着多种安全风险,化学实验室的安全性直接关系到师生员工的人身安全及学校实验教学和科研的开展。为实验室师生选择恰当的个体防护装备后,可直接对人体起到保护作用,免遭或减轻事故和职业危害因素的伤害。本文对高校化学实验室的事故风险进行分析后,介绍高校化学实验室个体防护装备的选择与管理,包含其选择要点、装备管理。     

MOC scoping—Ensuring that MOC action items are correctly and completely described

Shortly after initiating a Management of Change instance, the owner develops a list of action items that need to be accomplished in order to successfully complete the MOC. This activity is termed “scoping the MOC”. A well-scoped MOC is efficient and lower risk; a poorly-scoped MOC is inefficient and higher risk.The quality of MOC scoping depends largely on the methodology used, with different sites using anything from no scoping at all, guesswork approaches, checklist approaches, to very sophisticated asset-based scoping.This paper reviews the various scoping methodologies using examples from actual MOC processes currently in use at chemical plants and refineries. The scoping techniques are then evaluated in terms of cost and error susceptibility of the resulting MOCs, using quantitative assessment tools. The results of this research provide specific guidelines on how to optimize scoping for small, medium and large MOCs.     

Experimental mine and laboratory dust explosion research at NIOSH

This paper describes dust explosion research conducted in an experimental mine and in a 20-L laboratory chamber at the Pittsburgh Research Laboratory (PRL) of the National Institute for Occupational Safety and Health (NIOSH). The primary purpose of this research is to improve safety in mining, but the data are also useful to other industries that manufacture, process, or use combustible dusts. Explosion characteristics such as the minimum explosible concentration and the rock dust inerting requirements were measured for various combustible dusts from the mining industries. These dusts included bituminous coals, gilsonite, oil shales, and sulfide ores. The full-scale tests were conducted in the Lake Lynn experimental mine of NIOSH. The mine tests were initiated by a methane–air explosion at the face (closed end) that both entrained and ignited the dust. The laboratory-scale tests were conducted in the 20-L chamber using ignitors of various energies. One purpose of the laboratory and mine comparison is to determine the conditions under which the laboratory tests best simulate the full-scale tests. The results of this research showed relatively good agreement between the laboratory and the large-scale tests in determining explosion limits. Full-scale experiments in the experimental mine were also conducted to evaluate the explosion resistance characteristics of seals that are used to separate non-ventilated, inactive workings from active workings of a mine. Results of these explosion tests show significant increases in explosion overpressure due to added coal dust and indications of pressure piling.     

Review of 62 risk analysis methodologies of industrial plants

For about 10 years, many methodologies have been developed to undertake a risk analysis on an industrial plant. In this paper, 62 methodologies have been identified, these are separated into three different phases (identification, evaluation and hierarchisation). In order to understand their running, it seems necessary to examine the input data, methods used, obtained output data and to rank them in several classes. First, all the input data are grouped together into seven classes (plan or diagram, process and reaction, products, probability and frequency, policy, environment, text, and historical knowledge). Then, the methods are ranked in six classes based on the combination of four usual criteria (qualitative, quantitative, deterministic and probabilistic). And finally, the output data are classified into four classes (management, list, probabilistic and hierarchisation). This classification permits the appraisal of risk analysis methodologies. With the intention of understanding the running of these methodologies, the connections between the three defined previously criteria (determinist, probabilistic and determinist and probabilistic) are brought to the fore. Then the paper deals with the application fields and the main limitations of these methodologies. So the hierarchisation phase is discussed and the type of scale used. This paper highlights the difficulties in taking into account all risks for an industrial plant and suggests that there is not only one general method to deal with the problems of industrial risks.     

Survival versus traditional methodologies for studying employee turnover: differences,divergences and directions for future research

Despite initial enthusiasm for using survival analysis techniques to gain new insights into employee turnover, nearly one decade later hardly any studies based on survival methodologies are evident in the literature. Consequently, the potential for survival analysis to open new avenues in turnover research remains unassessed, and the need for research on this topic is readily apparent. In this study, survival analysis methods were compared with those inherent in ‘traditional’ turnover research. Results indicated significant divergences between these two methods. The traditional turnover methodology reproduced findings characteristic of the vast majority of research on this topic—job withdrawal intentions emerged as the sole predictor of employee turnover behavior. In contrast, continuance commitment and ethnicity were directly predictive of turnover behavior using survival analysis methods. Implications of these results and directions for future research are discussed. Copyright © 1999 John Wiley & Sons, Ltd.     

Compression system check-valve failure hazards

Processes that utilize multistage compression systems (olefins plant compression systems, gas processing, integrated refrigeration systems, etc.) have the potential for overpressure due to single or multiple check-valve failure. Catastrophic equipment failure resulting from overpressure can potentially occur due to compression system discharge, interstage, and/or suction check-valve failure, coincident with compressor shutdown. Depending on system design and application, overpressure values approaching or exceeding 300% of equipment design are possible, while for some equipment, even limited overpressure can result in catastrophic vessel failure due to brittle fracture. Additional hazards associated with compression system fail-to-check scenarios include risks associated with excessive flare loading and compressor rotor reverse rotation. In the case of an ethylene refrigeration compressor at a typical ethylene plant, rotor reverse rotation can potentially exceed overspeed limits.This paper provides risk assessment results based on analyses performed on the three primary compression systems in six ethylene plants. The methodologies used for risk identification screening, detailed risk assessment and evaluation of system dynamics are all presented. Alternative methods for mitigating risks are also discussed, along with check-valve reliability data. An overview of applicable overpressure protection requirements defined in the ASME Boiler and Pressure Vessel Code is provided. This paper will be of interest to anyone who designs or operates multistage compression systems in the chemical, petrochemical or refining industries.     

Safety impacts of bicycle infrastructure: A critical review

Problem and methodThis paper takes a critical look at the present state of bicycle infrastructure treatment safety research, highlighting data needs. Safety literature relating to 22 bicycle treatments is examined, including findings, study methodologies, and data sources used in the studies. Some preliminary conclusions related to research efficacy are drawn from the available data and findings in the research.Results and discussionWhile the current body of bicycle safety literature points toward some defensible conclusions regarding the safety and effectiveness of certain bicycle treatments, such as bike lanes and removal of on-street parking, the vast majority treatments are still in need of rigorous research. Fundamental questions arise regarding appropriate exposure measures, crash measures, and crash data sources.Practical applicationsThis research will aid transportation departments with regard to decisions about bicycle infrastructure and guide future research efforts toward understanding safety impacts of bicycle infrastructure.     

Systematic review on the implementation methodologies of inherent safety in chemical process

The accomplishments of inherent safety in the field of loss prevention thus far are impressive due to its scientific philosophy: reducing risks at source rather than adding engineered and procedural protections. Generally, the implementation of inherent safety can be done through a cohesive set of fourteen principles elucidated by Kletz and Amyotte. This work, guided by the fourteen principles, presents a systematic review on the implementation methodologies of inherent safety. Firstly, PRISMA procedure was adopted to select eligible literatures according to inclusive and exclusive criteria. After obtaining the selected literatures, the preference, level of application, and gaps in using these principles were critically analyzed. Of the fourteen principles, intensification, substitution, attenuation, simplification, limitation of effects, and avoidance of knock-on effects are preferable to implementing inherent safety in chemical process. Although the remaining principles are also potentially useful, they are not commonly used due to their costs and complexities of implementation. Overall, this work presents a complete spectrum to look across the implementation methodologies of inherent safety and concludes with some holistic and inclusive approaches as future research recommendations.     

Risk analysis in research environment – Part I: Modeling Lab Criticity Index using Improved Risk Priority Number

Current available risk analysis techniques are well adapted to industry needs since they were developed for its purpose. All hazards present in industry are also met in research/academia, although quantities of some hazardous substances are smaller. Still, because of its characteristics e.g., high turnover of collaborators, rapid reorientation of research programs, freedom of research, equipment often in development stage, difficulty to obtain accidents statistics, not well described processes, etc., research/academia milieu is an environment whose risks are difficult to assess by available risk analysis techniques. In the present paper, a new methodology, Laboratory Assessment and Risk Analysis – LARA, for research and/or complex environment is proposed. When multiple hazards are analyzed, the result of assessment is a risk ranking calculated using a Lab Criticity Index – LCI, providing identification of critical areas and prioritization of safety actions. LCI is conceived through two approaches: the Risk Priority Number – RPN and the Analytic Hierarchy Process – AHP. It is suggested to estimate risk as a combination of severity, probability, detectability, worsening factors and research specificities.     

非常规突发事件应急决策方法研究

为深入研究非常规突发事件应急决策方法,提高对非常规突发事件的应对能力,调查研究基于应急预案、范例推理和智能规划等3种非常规突发事件的应急决策方法,对比分析这3种方法的特点。研究发现:这3种方法都可以在一定程度上为非常规突发事件提供辅助决策,但是基于智能规划的应急决策方法更适于非常规突发事件复杂的决策环境,有较大发展潜力。然后针对该方法,提出一些需要深入研究的开放性课题。     

基于CiteSpace的危险货物运输研究知识图谱分析

为分析危险货物运输的研究脉络与研究现状,选择ISI Web of Science作为文献检索引擎,将1969—2017年的文献记录作为数据源,采用动态网络分析的信息可视化技术和工具(CiteSpace)进行文献共被引分析和主题共现分析,绘制危险货物运输研究的知识图谱,呈现危险货物运输研究领域的知识结构与演进规律。结果表明:1)危险货物运输研究始于20世纪60年代末,论文数量总体呈现上升趋势,并在90年代和近几年出现论文数量骤增的现象;2)Erkut、Kara、Zognafos、Bianco、Zografos等学者的文献具有重要的影响力,被引频次最多;3)研究集中在危险货物运输风险评估、路网规划、模型方法应用、风险预警、运输事故;4)研究的新兴热点涉及模型方法的创新(如禁忌搜索算法)、事故致因分析、风险应急行动、危险品运输收费等方面。     

人的安全心理特性研究方法的综述研究

通过搜寻中国学术期刊全文数据库,查阅近年来期刊发表的有关心理特性研究方法方面的98篇论文。从概念、研究方法分类、研究方法特点、研究方法优缺点对质的研究和量的研究分别进行了比较和汇总分析;指出当前我国心理特性研究方法的现状、存在的问题与发展趋势;提出只有将"质"与"量"的方法进行整合,使之进行优势互补,才是未来心理研究领域发展的必然趋势。运用心理特性研究方法可更准确地了解人的心理活动,最大限度地避免人的不安全行为,从而减少事故的发生。     

Safety study of an LNG regasification plant using an FMECA and HAZOP integrated methodology

A safety analysis was performed to determine possible accidental events in the storage system used in the liquefied natural gas regasification plant using the integrated application of failure modes, effects and criticality analysis (FMECA) and hazard and operability analysis (HAZOP) methodologies. The goal of the FMECA technique is the estimation of component failure modes and their major effects, whereas HAZOP is a structured and systematic technique that provides an identification of the hazards and the operability problems using logical sequences of cause-deviation-consequence of process parameters. The proposed FMECA and HAZOP integrated analysis (FHIA) has been designed as a tool for the development of specific criteria for reliability and risk data organisation and to gain more recommendations than those typically provided by the application of a single methodology. This approach has been applied to the risk analysis of the LNG storage systems under construction in Porto Empedocle, Italy. The results showed that FHIA is a useful technique to better and more consistently identify the potential sources of human errors, causal factors in faults, multiple or common cause failures and correlation of cause-consequence of hazards during the various steps of the process.     

Using virtual reality technology in organizational behavior research

Conventional research methodologies that use written vignettes to present stimuli have been criticized as lacking in realism. We propose the use of highly immersive virtual reality (VR) technology to overcome limitations of written vignettes and other traditional methodologies. We also illustrate how VR technology can be effectively used to investigate various topics in organizational behavior and industrial/organizational psychology. © 1997 John Wiley & Sons, Ltd.