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

Research output: Contribution to journalArticleAcademicpeer-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 languageEnglish
Pages (from-to)604-620
JournalJournal of Loss Prevention in the Process Industries
Volume19
Issue number6
DOIs
Publication statusPublished - 1 Jan 2006

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