Lecture

Event Analysis: Accident Causal Tree

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In course

ENG-430: Risk management

This course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering perspective. It emphasizes stakeholders, resources, and objectives, while ensuring economic and social sustainabili ...

Description

This lecture covers the analysis of accidents, focusing on the causal tree method, which aims to understand the objective causes, prevent recurrences, and improve safety measures. Through examples like the Herald of Free Enterprise incident and the Imperial Sugar refinery explosion, the importance of collecting facts without judgment, building the causal tree, and choosing effective measures is highlighted.

Instructor

Thierry Meyer

Thierry Meyer received in 1986 a diploma degree (MSc) in chemical engineering from the Swiss Federal Institute of Technology at Lausanne (EPFL). He was awarded in 1989 a PhD at EPFL for his thesis on micromixing in highly viscous polymeric media. He joined the Institute of Chemical Engineering from 1989 till 1993 as senior scientist in the field of polymerization reactions. In 1994 he joined Ciba-Geigy SA in the pigment division as successively development chemist, head of development a.i. and finally production manager for high performance pigments. Returning to the Institute of Chemical Engineering at EPFL in Lausanne by the end of 1998, he was nominated maître denseignement et de recherche (MER) for leading a new research group in the field of polymers and supercritical fluids, and teaching to chemists, chemical engineers and material sciences, disciplines as process development, introduction to chemical engineering, polymer and organic chemistry at master and bachelor program. In 2005 he owned the responsibility of the Occupational Health and Safety of the school of basic sciences on top of his research activities dealing with risk management and supercritical fluids. He is presently teaching introduction to chemical engineering at bachelor level, risk management at master level and specific courses on safety and engineering risk management in continuing education. He acts also as consultant and expert in risk assessment and chemical engineering matters by the ICC (International Chamber of Commerce) of the World Business Organization, by several consultancy companies and by major and SMEs chemical industries. Thierry Meyer is currently member of several international associations of the European Federation of Chemical Engineering, American institution of chemical engineering, American chemical society and senior member of the American Institute of Chemical Engineers. He was elected chairman of the European Working Party on Polymer Reaction Engineering from 2001 till 2006. He his currently the Swiss academic member of the European Working Party on Loss Prevention and Safety Promotion as well as of the European Working Party on Education. He is member of several editorial boards: Chemical Engineering Research and Design, Macromolecular Reaction Engineering, Chemical Engineering and Technology, Journal of Chemical Health and Safety.

Official source

Related concepts (24)

Fault tree analysis

Fault tree analysis (FTA) is a type of failure analysis in which an undesired state of a system is examined. This analysis method is mainly used in safety engineering and reliability engineering to understand how systems can fail, to identify the best ways to reduce risk and to determine (or get a feeling for) event rates of a safety accident or a particular system level (functional) failure.

Root cause analysis

In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, rail transport, or nuclear plants), medicine (for medical diagnosis), healthcare industry (e.g., for epidemiology), etc. Root cause analysis is a form of inductive (first create a theory [root] based on empirical evidence [causes]) and deductive (test the theory [underlying causal mechanisms] with empirical data) inference.

Causal model

In the philosophy of science, a causal model (or structural causal model) is a conceptual model that describes the causal mechanisms of a system. Several types of causal notation may be used in the development of a causal model. Causal models can improve study designs by providing clear rules for deciding which independent variables need to be included/controlled for. They can allow some questions to be answered from existing observational data without the need for an interventional study such as a randomized controlled trial.

Hazard analysis

A hazard analysis is used as the first step in a process used to assess risk. The result of a hazard analysis is the identification of different types of hazards. A hazard is a potential condition and exists or not (probability is 1 or 0). It may, in single existence or in combination with other hazards (sometimes called events) and conditions, become an actual Functional Failure or Accident (Mishap). The way this exactly happens in one particular sequence is called a scenario.

Bayesian network

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). It is one of several forms of causal notation. Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms.

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