Performance Shaping Factor
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Performance Shaping Factor
''Influence Diagrams Approach (IDA)'' is a technique used in the field of Human reliability Assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. From such analyses measures can then be taken to reduce the likelihood of errors occurring within a system and therefore lead to an improvement in the overall levels of safety. There exist three primary reasons for conducting an HRA; error identification, error quantification and error reduction. As there exist a number of techniques used for such purposes, they can be split into one of two classifications; first generation techniques and second generation techniques. First generation techniques work on the basis of the simple dichotomy of ‘fits/doesn’t fit’ in the matching of the error situation in context with related error identification and quantification and second generation techniques are more theory based in their assessment and quantificati ...
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Human Reliability
In the field of human factors and ergonomics, human reliability (also known as human performance or HU) is the probability that a human performs a task to a sufficient standard. Reliability of humans can be affected by many factors such as age, physical health, mental state, attitude, emotions, personal propensity for certain mistakes, and cognitive biases. Human reliability is important to the resilience of socio-technical systems, and has implications for fields like manufacturing, medicine and nuclear power. Attempts made to decrease human error and increase reliability in human interaction with technology include user-centered design and error-tolerant design. Factors Affecting Human Performance Human error, human performance, and human reliability are especially important to consider when work is performed in a complex and high-risk environment. Strategies for dealing with performance-shaping factors such as psychological stress, cognitive load, fatigue inc ...
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Human Error
Human error is an action that has been done but that was "not intended by the actor; not desired by a set of rules or an external observer; or that led the task or system outside its acceptable limits".Senders, J.W. and Moray, N.P. (1991) Human Error: Cause, Prediction, and Reduction'. Lawrence Erlbaum Associates, p.25. . Human error has been cited as a primary cause and contributing factor in disasters and accidents in industries as diverse as Nuclear and radiation accidents and incidents, nuclear power (e.g., the Three Mile Island accident), Pilot error, aviation, List of spaceflight-related accidents and incidents, space exploration (e.g., the Space Shuttle Challenger disaster and Space Shuttle Columbia disaster), and Medical error, medicine. Prevention of human error is generally seen as a major contributor to Data integrity, reliability and safety of (complex) systems. Human error is one of the many contributing causes of risk events. Definition Human error refers to somethi ...
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Healthcare
Health care, or healthcare, is the improvement or maintenance of health via the preventive healthcare, prevention, diagnosis, therapy, treatment, wikt:amelioration, amelioration or cure of disease, illness, injury, and other disability, physical and mental impairments in people. Health care is delivered by health professionals and allied health professions, allied health fields. Medicine, dentistry, pharmacy, midwifery, nursing, optometry, audiology, psychology, occupational therapy, physical therapy, athletic training, and other health professions all constitute health care. The term includes work done in providing primary care, wikt:secondary care, secondary care, tertiary care, and public health. Access to health care may vary across countries, communities, and individuals, influenced by social and economic conditions and health policy, health policies. Providing health care services means "the timely use of personal health services to achieve the best possible health outcom ...
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Engineering
Engineering is the practice of using natural science, mathematics, and the engineering design process to Problem solving#Engineering, solve problems within technology, increase efficiency and productivity, and improve Systems engineering, systems. Modern engineering comprises many subfields which include designing and improving infrastructure, machinery, vehicles, electronics, Materials engineering, materials, and energy systems. The Academic discipline, discipline of engineering encompasses a broad range of more Academic specialization, specialized fields of engineering, each with a more specific emphasis for applications of applied mathematics, mathematics and applied science, science. See glossary of engineering. The word '':wikt:engineering, engineering'' is derived from the Latin . Definition The American Engineers' Council for Professional Development (the predecessor of the Accreditation Board for Engineering and Technology aka ABET) has defined "engineering" as: ...
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Influence Diagram
An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which not only probabilistic inference problems but also decision making problems (following the maximum expected utility criterion) can be modeled and solved. ID was first developed in the mid-1970s by decision analysts with an intuitive semantic that is easy to understand. It is now adopted widely and becoming an alternative to the decision tree which typically suffers from exponential growth in number of branches with each variable modeled. ID is directly applicable in team decision analysis, since it allows incomplete sharing of information among team members to be modeled and solved explicitly. Extensions of ID also find their use in game theory as an alternative representation of the game tree. Semantics An ID is a directed acyclic graph wit ...
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Interdependence
Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" when it expresses synergy or emergent behavior. Changing one component of a system may affect other components or the whole system. It may be possible to predict these changes in patterns of behavior. For systems that learn and adapt, the growth and the degree of adaptation depend upon how well the system is engaged with its environment and other contexts influencing its organization. Some systems support other systems, maintaining the other system to prevent failure. The goals of systems theory are to model a system's dynamics, constraints, conditions, and relations; and to elucidate principles (such as purpose, mea ...
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Decision Analysis
Decision analysis (DA) is the Academic discipline, discipline comprising the philosophy, methodology, and professional practice necessary to address important Decision making, decisions in a formal manner. Decision analysis includes many procedures, methods, and tools for identifying, clearly representing, and formally assessing important aspects of a decision; for prescribing a recommended course of action by applying the maximum Expected_utility_hypothesis, expected-utility action axiom, axiom to a well-formed representation of the decision; and for translating the formal representation of a decision and its corresponding recommendation into insight for the Decision making, decision maker, and other corporate and non-corporate Stakeholder (corporate), stakeholders. History In 1931, mathematical philosopher Frank_Ramsey_(mathematician), Frank Ramsey pioneered the idea of Probability_interpretations#Subjectivism, subjective probability as a Expected utility hypothesis#Ramsey-theore ...
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Absolute Probability Judgement
Absolute probability judgement is a technique used in the field of human reliability assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. From such analyses measures can then be taken to reduce the likelihood of errors occurring within a system and therefore lead to an improvement in the overall levels of safety. There exist three primary reasons for conducting an HRA; error identification, error quantification and error reduction. As there exist a number of techniques used for such purposes, they can be split into one of two classifications; first generation techniques and second generation techniques. First generation techniques work on the basis of the simple dichotomy of 'fits/doesn't fit' in the matching of the error situation in context with related error identification and quantification and second generation techniques are more theory based in their assessment and quantification of errors. 'H ...
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HRA Influence Diagram
HRA may refer to: Health and medicine * Health risk assessment * Health Reimbursement Account or Arrangement, US * Health Research Authority, UK Sport * Home runs allowed * Horseracing Regulatory Authority, now merged into the British Horseracing Authority Organisations * Havering Residents Association * Heritage Railway Association, British Isles * Hindustan Republican Association * Hotel & Restaurant Association of Great Britain * Human Rights Activists in Iran * New York City Human Resources Administration Science and technology * Heidelberg Research Architecture * High Redundancy Actuation, a concept in fault tolerant control * Honda Research America * HRA, a Rockwell scale of materials' hardness * Human reliability analysis, estimation of human error rate Other uses * H & R Firearms, marking on arms (for H&R Arms) * Hariah railway station, Pakistan, station code * Herra, a Finnish honorific * Hrangkhol language of India, ISO 639-3 code * Human Rights Act (dis ...
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Sensitivity Analysis
Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output. A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis should be run in tandem. Motivation A mathematical model (for example in biology, climate change, economics, renewable energy, agronomy...) can be highly complex, and as a result, its relationships between inputs and outputs may be faultily understood. In such cases, the model can be viewed as a black box, i.e. the output is an "opaque" function of its inputs. Quite often, some or all of the model inputs are subject to sources of uncertainty, including errors of measurement, er ...
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Qualitative Data
Qualitative properties are properties that are observed and can generally not be measured with a numerical result, unlike Quantitative property, quantitative properties, which have numerical characteristics. Description Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to Quantitative property, quantitative properties which have numerical characteristics. Evaluation Although measuring something in qualitative terms is difficult, most people can (and will) make a judgement about a behaviour on the basis of how they feel treated. This indicates that qualitative properties are closely related to emotional impressions. A test method can result in qualitative data about something. This can be a categorical result or a binary classification (e.g., pass/fail, go/no go, Conformity, conform/non-conform). It can sometimes be an engineering judgement. Categorization The data that all share a qualitat ...
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Current Reality Tree (theory Of Constraints)
One of the thinking processes in the theory of constraints, a current reality tree (CRT) is a tool to analyze many systems or organizational problems at once. By identifying root causes common to most or all of the problems, a CRT can greatly aid focused improvement of the system. A current reality tree is a directed graph. Simplified explanation A CRT is a focusing procedure formulated by Eliyahu Goldratt, developer of the theory of constraints. This process is intended to help leaders gain understanding of cause and effect in a situation they want to improve. It treats multiple problems in a system as symptoms arising from one or a few ultimate root causes or systemic core problems. It describes, in a visual (cause-and-effect network) diagram, the main perceived symptoms (along with secondary or hidden ones that lead up to the perceived symptoms) of a problem scenario and ultimately the apparent root causes or core conflict. The benefit of building a CRT is that it identifies th ...
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