1. PROJECT. To Design an Accident Causation Model 2. SCOPE. The Accident Causation Model (or "Swiss Cheese Model") is a theoretical model that illustrates how accidents occur in organisations. The model focuses on both organisational hierarchy and human error. It postulates that the typical accident occurs because several (human) errors have occurred at all levels in the organisational hierarchy in a way that made such accident unavoidable. For example‚ decision makers may have made ill decisions
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Investigations Incident Causation Not Just for Fatalities Objectives • Familiarize with incident causation • Apply root cause analysis Heinrich Domino Theory Management / Root Cause • Management Structure objectives organization operations Operational Error Manager behavior/Supervisor behavior Tactical Error unsafe acts unsafe conditions LCU Theory • Accident probability is situational • Overload taxes person’s capacity • Leads to accidents (or illness) • >300 → 79% in 2 yrs • >200 → 51%
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Models of Causation: Safety OHS Body of Knowledge Models of Causation: Safety April‚ 2012 Copyright notice and licence terms First published in 2012 by the Safety Institute of Australia Ltd‚ Tullamarine‚ Victoria‚ Australia. Bibliography. ISBN 978-0-9808743-1-0 This work is copyright and has been published by the Safety Institute of Australia Ltd (SIA) under the auspices of HaSPA (Health and Safety Professionals Alliance). Except as may be expressly provided by law and subject
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"Loss Causation Model" History‚ Theory & Application "Loss Causation Model" History‚ Theory & Application Before a loss occurs (Injury‚ illness‚ damage‚ loss in process)‚ there are series of events that take place with a root cause that begins this series of events. The root cause is called a Lack of Control (Inadequate standards‚ lack of compliance for preparedness‚ knowledge and skill training‚ etc). This leads to a basic cause (or personal factor) such as lack of knowledge‚ stress‚ inadequate
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types of causation which are necessary to establish criminal liability. These are factual causation and cause in law (also known as legal causation). Factual causation means that the defendant can only be found guilty if the consequence would not have happened ‘but for’ the defendant’s conduct. This was seen in the case of Pagett (1982). Similarly‚ a defendant cannot be found guilty if the victim’s death was unrelated to the defendant’s actions (as in White‚ 1910). Legal causation‚ where the
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CAUSATION Causation refers to inquiry as to whether the defendants conduct (or omission) caused the harm or damage. Causation must be established in all result crimes. In criminal liability it is divided into Factual causation and Legal causation. Factual causation is the starting point and consist of applying the ‘but for’ test. In most instances where there exists no complicating factors‚ factual causation on its own will suffice to establish causation. However‚ in some circumstances it will also
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PRINCIPLE OF CAUSATION Every criminal action can be divided into actus reus‚ mens rea and causation. Actus reus compacts with the ‘guilty act’‚ mens rea with the ‘guilty mind’ and the causation compacts with the consequences of the actus. In crimes‚ which require consequence like murder‚ causation is a essential and imperative element. The absence of causation between the actus and the consequence may render a verdict untenable in spite of the existence of the necessary mens rea and actus reus
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According to Stanhope and Lancaster (2010) the web of causation “…recognizes the complex interrelationships of many factors interacting‚ sometimes in subtle ways‚ to increase (or decrease) the risk of disease” (p. 163). All things that can affect risk of disease are divided into one of three categories‚ agents‚ host‚ or environment. Examples of agents include infectious agents such as bacteria and viruses‚ chemical agents such as heavy metals and pesticides‚ or physical agents such as heat‚ cold
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Causation and Correlation Jennifer PSY/285 Darren Iwamoto July 17‚ 2013 Causation and Correlation Correlation does not imply causation. According to “statistical Language Correlation and Causation” (Correlation is a statistical measure (expressed as a number) that describes the size and direction of a relationship between two or more variables. A correlation between variables‚ however‚ does not automatically mean that the change in one variable is the cause of the change in the values of
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Normal accident theory and Swiss cheese model are influential models in studying system accident causation. This paper is going to help us to gain understanding of both models and to critically compare them. The first part of the study is an introduction of the both models. In the second part‚ Three Mile Island nuclear accident will be taken as an example to see how the models analyse causations of an accident. In this part‚ the fact of the accident will be presented first‚ then normal accident theory
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