We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Article:Decision Support System for Alarm Rationalization using Risk Assessment Matrix

by Mohamad Izuddin Nordin, Oi Mean Foong
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 9
Year of Publication: 2010
Authors: Mohamad Izuddin Nordin, Oi Mean Foong
10.5120/857-1174

Mohamad Izuddin Nordin, Oi Mean Foong . Article:Decision Support System for Alarm Rationalization using Risk Assessment Matrix. International Journal of Computer Applications. 4, 9 ( August 2010), 8-13. DOI=10.5120/857-1174

@article{ 10.5120/857-1174,
author = { Mohamad Izuddin Nordin, Oi Mean Foong },
title = { Article:Decision Support System for Alarm Rationalization using Risk Assessment Matrix },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 4 },
number = { 9 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number9/857-1174/ },
doi = { 10.5120/857-1174 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:36.858529+05:30
%A Mohamad Izuddin Nordin
%A Oi Mean Foong
%T Article:Decision Support System for Alarm Rationalization using Risk Assessment Matrix
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 9
%P 8-13
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a Decision Support System for Alarm Rationalization using Risk Assessment Matrix (ARRAM) is proposed. When performing alarms review and classifying alarms priority, the ARRAM prototype would be used by process engineers after taking into consideration the safety impact, environmental impact and economic consequences of the hazards. The ARRAM prototype pre-determines the response time available to plant operators before the hazards occur. The objectives of this paper are two-fold: (1) To configure the alarms by using Risk Assessment Matrix and (2) To develop a prototype for classifying the alarms in oil refinery focusing on Crude Distillation Unit. The proposed ARRAM model provides a user-friendly interface for decision maker in making accurate and timely decision when rationalizing random alarms data. Preliminary results show that ARRAM is a useful tool for training new process engineers in familiarizing with alarm management system in oil refinery.

References
  1. Maryam K, Faisal K, and Kelly H (2009), Dynamic risk assessment using failure assessment and Bayesian theory, Journal of Loss Prevention in the Process Industries, Vol.22, Issue 5, pp.600-606.
  2. Turban E, Aronson J.E, Peng Liang T (2005), Decision Support Systems and Intelligent Systems Seventh Edition, Pearson Education Inc., New Jersey.
  3. Hollifield B R, Eddie Habibi (2007), Alarm Management: Seven Effective Methods for Optimum Performance, United States of America, Instrumentation, Systems and Automation Society (ISA).
  4. Peter Andow (2005), Alarm Management and Operator Graphic, Honeywell Process Solution for Institution of Chemical Engineers, Southampton.
  5. O. M. Foong., Suziah Sulaiman, Dayang R. A. Rambli, Alarm Prioritization System for Oil Refinery, World Congress on Engineering and Computer Science, Vol. II, pp.1012-1017. ISBN 978-988-18210-2-7.
  6. C. W. Holsapple and M. P. Sena (2005), ERP Plans and Decision-Support Benefits, Decision Support Systems, Elsevier, Vol. 38, Issue 4, pp.575-590.
  7. Anonymous (2004), Risk Assessment Matrix (RAM) Process, Michigan State University.
  8. Trochim, William M. (2006), Likert Scalling. Research Methods Knowledge Base, 2nd Edition.
  9. Zhiqiang Geng, Qunxiong Zhu, and Xiangbai Gu (2005), A fuzzy Clustering-Ranking Algorithm and Its Application for Alarm Operating Optimization in Chemical Processing American Institute of chemical Engineers, Process Safety Progress, Vol.24, No.1, pp.66-75.
  10. Oscar Castillo and Patricia Melin (2007), A New Approach for PlantMonitoring usinf Type-2 Fuzzy Logic and Fractal Theory, Studies in Fuzziness and Soft Computing, Springer Verlag, Vol. 223/2008, ISSN:1434-9922 (Print) 1860-0808 (Online.)
  11. Adam S. Markowski, M. Sam Mannan and Agata Bigoszewska (2009), Fuzzy Logic for Process Safety Analysis, Journal of Loss Prevention in the Process Industries, Vol.22, Issue 6, pp. 695-702.
  12. M. Ilangkumaran and P.Thamizhselvan (2009), Integrated Hazard and Operability Study Using Fuzzy Linguistics Approach in Petrochemical Industry, International Journal of Quality and Reliability Management, Vol.27, No.5, pp.541-557.
Index Terms

Computer Science
Information Sciences

Keywords

Alarm rationalization Crude Distillation Unit (CDU) Decision Support System risk assessment matrix