Application of Bayesian networks in corrective maintenance safety
Paper in proceeding, 2011

Abstract The emphasis of this exploratory paper is on some maintenance related accidents occurred during previous decades and the aim is to develop a model for preventing such accidents by understanding the major causes and the influencing factors among them. The model is intended to explain the affecting factors in a fatal accident and how they are related to one another. To fulfil the aim of study, a Bayesian network model was developed using the GeNIe 2.0 software and further on the relations between different factors were assigned. The model was developed based on a case study of Tosco Avon refinery accident in Martinez, California occurred on February 23rd, 1999 where four workers were killed in a fiery accident. The proposed model could predict the final result of the execution of a corrective maintenance process to make a safer decision. Since the model was developed based on Tosco Avon refinery accident case, validation has been carried out regarding some other accidents. The results showed that the proposed model is a suitable tool to predict the outcomes of an action in corrective maintenance. In addition the model can be adjusted to different applications.

Risk management

Keywords: Corrective maintenance safety

Bayesian networks application


Sara Fallahi

Chalmers, Technology Management and Economics

Amin Mehdipoor

Chalmers, Chemical and Biological Engineering

Mohammad Shahriari

Chalmers, Product and Production Development, Production Systems

Internationa Symposium on Occupational Safety and Hygiene, 10th - 11th February 2011

978-972-99504-7-6 (ISBN)

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Driving Forces

Sustainable development

Areas of Advance




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