Cognitive Reliability And Error Analysis Method Cream
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Cognitive Reliability and Error Analysis Method (CREAM)
The growing dependence of working environments on complex technology has created many challenges and lead to a large number of accidents. Although the quality of organization and management within the work environment plays an important role in these accidents, the significance of individual human action (as a direct cause and as a mitigating factor) is undeniable. This has created a need for new, integrated approaches to accident analysis and risk assessment.This book detailing the use of CREAM is, therefore, both timely and useful. It presents an error taxonomy which integrates individual, technological and organizational factors based on cognitive engineering principles. In addition to the necessary theoretical foundation, it provides a step-by-step description of how the taxonomy can be applied to analyse as well as predict performance using a context-dependent cognitive model.CREAM can be used as a second-generation human reliability analysis (HRA) approach in probabilistic safety assessment (PSA), as a stand-alone method for accident analysis and as part of a larger design method for interactive systems. In particular, the use of CREAM will enable system designers and risk analysts to: • identify tasks that require human cognition and therefore depend on cognitive reliability• determine the conditions where cognitive reliability and ensuing risk may be reduced• provide an appraisal of the consequences of human performance on system safety which can be used in PSA.
A Guide To Practical Human Reliability Assessment
Human error is here to stay. This perhaps obvious statement has a profound implication for society when faced with the types of hazardous system accidents that have occurred over the past three decades. Such accidents have been strongly influenced by human error, yet many system designs in existence or being planned and built do not take human error into consideration.; "A Guide to Practical Human Reliability Assessment" is a practical and pragmatic guide to the techniques and approaches of human reliability assessment HRA. lt offers the reader explanatory and practical methods which have been applied and have worked in high technology and high risk assessments - particularly but not exclusively to potentially hazardous industries such as exist in process control, nuclear power, chemical and petrochemical industries. A Guide to Practical Human Reliability Assessment offers the practitioner a comprehensive tool-kit of different approaches along with guidance on selecting different methods for different applications. It covers the risk assessment and the HRA process, as well as methods of task analysis, error identification, quantification, representation of errors in the risk analysis, followed by error reduction analysis, quality assurance and documentation. There are also a number of detailed case studies from nuclear, chemical, offshore, and marine HRA'S, exemplfying the image of techniques and the impact of HRA in existing and design-stage systems.
Human Factors Methods
Human Factors Methods: A Practical Guide for Engineering and Design presents more than ninety design and evaluation methods, and is designed to act as an ergonomics methods manual, aiding both students and practitioners. The eleven sections of the book represent the different categories of ergonomics methods and techniques that can be used in the evaluation and design process. Offering a 'how-to' text on a substantial range of ergonomics methods that can be used in the design and evaluation of products and systems, it is a comprehensive point of reference for all these methods. An overview of the methods is presented in chapter one, with a methods matrix showing which can be used in conjunction. The following chapters detail the methods showing how to apply them in practice. Flowcharts, procedures and examples cover the requirements of a diverse audience and varied applications of the methods. The final chapter presents a case study of methods being used together in a system evaluation project.