Decision Support Systems for Major Accident Prevention in the Chemical Process Industry: A Developers' Survey

G. Reniers; B.J.M. Ale; W. Dullaert; B.P.J. Foubert

doi:10.1016/j.jlp.2006.02.005

Decision Support Systems for Major Accident Prevention in the Chemical Process Industry: A Developers' Survey

G. Reniers^*, B.J.M. Ale, W. Dullaert, B.P.J. Foubert

^*Corresponding author for this work

Marketing & Supply Chain Management

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Solid major accident prevention management is characterized by efficient and effective risk assessments. As a means of addressing the efficiency aspect, decision support analysis software is becoming increasingly available. This paper discusses the results of a survey of decision support tools for investigating (internal and external) major hazards in the chemical industry. The most significant features, such as the usability and the functionality of the toolkits are discussed. Toolkit characteristics are analyzed in the light of the different major risk decision process stages. Consequently, valuable supportive information for company decision makers purchasing such software is given. Furthermore, conclusions are drawn and recommendations are formulated for establishing priorities for future risk toolkits developments.

Original language	English
Pages (from-to)	604-620
Journal	Journal of Loss Prevention in the Process Industries
Volume	19
Issue number	6
DOIs	https://doi.org/10.1016/j.jlp.2006.02.005
Publication status	Published - 1 Jan 2006

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abstract = "Solid major accident prevention management is characterized by efficient and effective risk assessments. As a means of addressing the efficiency aspect, decision support analysis software is becoming increasingly available. This paper discusses the results of a survey of decision support tools for investigating (internal and external) major hazards in the chemical industry. The most significant features, such as the usability and the functionality of the toolkits are discussed. Toolkit characteristics are analyzed in the light of the different major risk decision process stages. Consequently, valuable supportive information for company decision makers purchasing such software is given. Furthermore, conclusions are drawn and recommendations are formulated for establishing priorities for future risk toolkits developments.",

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Decision Support Systems for Major Accident Prevention in the Chemical Process Industry: A Developers' Survey

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