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

Access to Document

10.1016/j.jlp.2006.02.005

Cite this

@article{5af6fdb4784f4e71897f4347391ef080,

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

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.",

author = "G. Reniers and B.J.M. Ale and W. Dullaert and B.P.J. Foubert",

year = "2006",

month = jan,

day = "1",

doi = "10.1016/j.jlp.2006.02.005",

language = "English",

volume = "19",

pages = "604--620",

journal = "Journal of Loss Prevention in the Process Industries",

issn = "0950-4230",

publisher = "Elsevier BV",

number = "6",

}

TY - JOUR

T1 - Decision Support Systems for Major Accident Prevention in the Chemical Process Industry: A Developers' Survey

AU - Reniers, G.

AU - Ale, B.J.M.

AU - Dullaert, W.

AU - Foubert, B.P.J.

PY - 2006/1/1

Y1 - 2006/1/1

N2 - 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.

AB - 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.

U2 - 10.1016/j.jlp.2006.02.005

DO - 10.1016/j.jlp.2006.02.005

M3 - Article

SN - 0950-4230

VL - 19

SP - 604

EP - 620

JO - Journal of Loss Prevention in the Process Industries

JF - Journal of Loss Prevention in the Process Industries

IS - 6

ER -