An Immune Based Ontology Implementation of Hazard and Operability Analysis in Production Systems

Abstract:

In production systems, HAZOP is an example of such approaches that were suggested to identify, analyze, assess and control industrial risks. Unfortunately, HAZOP is not supported by methodological guidelines to implement it. Also, HAZOP does not rely on core concepts that allow the design of computerized toolkits that could be integrated within enterprise information systems to store and reuse knowledge stemming from the implementation of HAZOP projects. In this paper, we suggest an artificial immune based methodology to assist experts in implementing HAZOP projects. Through a case study, we show how immune concepts can provide both methodological guidance and computerized support in order to backbone expert efforts, and to capture risk related knowledge generated through each step of a HAZOP study.

• Periodical: Applied Mechanics and Materials (Volume 575)
• Pages: 884-894
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.575.884
• Online since: June 2014
• Authors: Nawel Bayar*, Saber Darmoul, Sonia Hajri-Gabouj, Henri Pierreval
• Keywords: Biological Immune System, HAZOP, Methodology, Ontology, Risk Management (RM)

References

[1] Batres, R., Fujihara, S., Shimada,Y., Fuchino, T., The use of ontologies for enhancing the use of accident information,. Process Safety and Environmental Protection, (2002), In Press, Corrected Proof.

DOI: 10.1016/j.psep.2012.11.002

[2] Bragatto, P., Monti, M., Giannini, F., Ansaldi, S., Exploiting process plant digital representation for risk analysis, Journal of Loss Prevention in the Process Industries, 20(1), (2007), 69–78.

DOI: 10.1016/j.jlp.2006.10.005

[3] Chudleigh, M.F., Hazard analysis of a computer based medical diagnostic system,. Computer Methods and Programs in Biomedicine, 44(1), (1994), 45–54.

DOI: 10.1016/0169-2607(94)90147-3

[4] Darmoul, S., Pierreval, H., Gabouj, S. -H., Using ontologies to capture and structure knowledge about disruptions in manufacturing systems: An immune driven approach". 16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2011, Toulouse, France, September 5th – 9th, (2011).

DOI: 10.1109/etfa.2011.6059033

[5] Darmoul, S., Pierreval, H., Gabouj, S. -H., Handling disruptions in manufacturing systems: An immune perspective,. Engineering Applications of Artificial Intelligence, 26, (2012), 110-121.

DOI: 10.1016/j.engappai.2012.09.021

[6] Deslandres, V., Pierreval, H., Knowledge acquisition issues in the design of decision support systems in quality control,. European Journal of Operations Research 103, (1997), 296-311.

DOI: 10.1016/s0377-2217(97)00121-5

[7] Dunjó, J., Fthenakis, V., Vilchez, J.A., Arnaldos, J., Hazard and operability (HAZOP) analysis: A literature review,. Journal of Hazardous Materials173, (2008), 19–32.

DOI: 10.1016/j.jhazmat.2009.08.076

[8] Fthenakis, V.M., Trammell, S. R, Reference Guide for Hazard Analysis in PV Facilities,. Brookhaven National Laboratory, Upton, NY 11973 (2003).

[9] Guennoun, M., Talbi, A., «Identification et classification des risques selon la typologie des entreprises. » CIGIMS : Congrès International en Génie Industriel et Management des Systèmes (CIGIMS 2012). 1ère Edition.

[10] Gray, J. V., Roth, A. V., Leiblein, M. J., Quality risk in offshore manufacturing: Evidence from the pharmaceutical industry,. Journal of Operations Management, 29, (2011), 737–752.

DOI: 10.1016/j.jom.2011.06.004

[11] Hangzhou, W., Bingzhen, C., Xiaorong, H., Qiu, T., Jinsong, Z., SDG-based HAZOP analysis of operating mistakes for PVC process,. Process Safety and Environmental Protection, 87 (1), (2009), 40–46.

DOI: 10.1016/j.psep.2008.06.004

[12] Health Products and Food Branch Inspectorate, Risk Classification of Good Manufacturing Practices (GMP) Observations, (2012).

[13] Heeyeop, C., Yoon, Y.H., Yoon, E.S., Safety analysis using an expert system in chemical process,. Korean Journal of Chemical Engineering, 11(3), (1994), 153–161.

DOI: 10.1007/bf02697460

[14] Heino, P., Suokas, J., Karvonen, I., An expert system in process design—analysis of process safety and reliability". In: IEEE AI, 88, Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications, 1988, p.225.

DOI: 10.1109/aiia.1988.13298

[15] Hofmeyr, S.A., An interpretative introduction to the immune system,. In: Cohen, I., Segel, L.A. (Eds. ), Design Principles for the Immune System and Other Distributed Autonomous Systems. (2000), Oxford University Press.

[16] Horridge, M., Knublauch, H., Rector, A., Stevens, R., Wroe, C., A Practical Guide To Building OWL Ontologies Using The Protégé – OWL Plugin and CO-ODE Tools,. Edition 1. 0, The University of Manchester, August 27, (2004).

DOI: 10.1007/978-3-540-30202-5_5

[17] Jagtman, H.M., Hale, A.R., Heijer, T., A support tool for identifying evaluation issues of road safety measures,. Reliability Engineering and System Safety, 90(2–3), (2005), 206–216 (selected papers from ESREL 2003).

DOI: 10.1016/j.ress.2004.11.002

[18] Khalaj, M., Makui, A., Tavakkoli-Moghaddam, R., Risk-based reliability assessment under epistemic uncertainty,. Journal of Loss Prevention in the Process Industries, 25, (2012), 571-581.

DOI: 10.1016/j.jlp.2011.12.014

[19] Kletz, T., What went wrong? Case histories of process plant disasters,. Houston, TX: Gulf Publishing Co, (1985).

DOI: 10.1080/00908318708945522

[20] Mannan, S., Lees' Loss prevention in the process industries: Hazard identification assesment and control,. 3rd edition, USA, Elsevier Butterworth-Heinemann, (2005).

[21] Marhavilas, P. K., Koulouriotis, D. E., A combined usage of stochastic and quantitative risk assessment methods in the worksites: Application on an electric power provider,. Reliability Engineering and System Safety, 97, (2011), 36–46.

DOI: 10.1016/j.ress.2011.09.006

[22] Matzinger, P., The danger model: a renewed sense of self, Science, 296(5566), (2002), 301-305.

DOI: 10.1126/science.1071059

[23] Miller, D.C., Josephson, J.R., Elsass, M.J., Davis, J.F., Chandrasekaran, B., Sharable engineering knowledge databases for intelligent system applications,. Computers and Chemical Engineering, 21 (Suppl. ), (1997), 77–82.

DOI: 10.1016/s0098-1354(97)87482-0

[24] Pintzos, G., Matsas, M., Chryssolouris, G., Defining Manufacturing Performance Indicators Using Semantic Ontology Representation,. Procedia CIRP, 3, (2012), 8 – 13.

DOI: 10.1016/j.procir.2012.07.003

[25] Protégé, available online at http: /protege. stanford. edu.

[26] Robson, L. S., Clarke, J. A., Cullen, K., Bielecky, A., Severin, C., Bigelow, Ph.L., Irvin, E., Culyer, A., Mahood, Q., The effectiveness of occupational health and safety management system interventions: A systematic review,. Journal of Safety Science, 45, (2007).

DOI: 10.1016/j.ssci.2006.07.003

[27] Shimada, Y., Suzuki, K., Sayama, H., Computer-aided operability study,. Computers and Chemical Engineering, 20, (1997), 905–913.

DOI: 10.1016/0098-1354(95)00187-5

[28] Suzuki, K., Ishida, M., Nojiri, I., Development of Operator Decision Support System using HAZOP results, in: Proceedings of the 7th International Conference on Probabilistic Safety Assessment and Management, PSAM7—ESREL 04, Berlin, Germany, June 14–18, (2004).

DOI: 10.1007/978-0-85729-410-4_550

[29] Svandova, Z., Jelemensky, L., Markos, J., Molnar, A., Steady states analysis and dynamic simulation as a complement in the HAZOP study of chemical reactors,. Process Safety and Environmental Protection, 83, (2005), 463–471.

DOI: 10.1205/psep.04262

[30] Taehee, L., Ig-hoon, L., Suekyung, L., Sang-goo, L., Dongkyu, K., Jonghoon, C., Hyunja, L., Junho S., Building an operational product ontology system,. Electronic Commerce Research and Applications 5, (2006), 16–28.

DOI: 10.1109/deec.2005.17

[31] Tixier, J., Dusserre, G., Salvi, O., Gaston, D., Review of 62 risk analysis methodologies of industrial plants,. Journal of Loss Prevention in the Process Industries 15, (2002), 291–303.

DOI: 10.1016/s0950-4230(02)00008-6

[32] Uschold, M., Gruninger, M., Ontologies: Principles, Methods and Applications,. Knowledge Engineering Review 11, (1992).

[33] Willquist, P., Törner, M., Identifying and analyzing hazards in manufacturing industry – a review of selected methods and development of a framework for method applicability,. International Journal of Industrial Ergonomics, 32, (2003), 165–180.

DOI: 10.1016/s0169-8141(03)00061-1

[34] Zerkani, H., Rushton, A.G., Computer aid for hazard identification,. Proceedings of the 6th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, (1993), 102–109.

[35] Zhao, J., Cui, L., Zhao, L., Qiu, T., Chen, B., Learning HAZOP expert system by case-based reasoning and ontology,. Computers and Chemical Engineering 33 , (2009), 371–378.

DOI: 10.1016/j.compchemeng.2008.10.006