Risk Assessment in Durations and Costs for Construction of Industrial Facilities in Egypt Using Equations and Computer
Commenced in January 2007
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Risk Assessment in Durations and Costs for Construction of Industrial Facilities in Egypt Using Equations and Computer

Authors: M. Kamal Elbokl, Negadi Kheira

Abstract:

Risk Evaluation is an important step in protecting your workers and your business, as well as complying with the law. It helps you focus on the risks that really matter in your workplace – the ones with the potential to cause real harm. We are in this paper introduce basics of risk assessment then we mention some of ways to risk evaluation by computer especially Monte Carlo simulation and Microsoft project.

We use Program Evaluation and Review Technique (PERT) to deal with Risks in Industrial Facilities in Evaluation and Assessment for this risk. Using PERT Technique in Microsoft Project by the PERT toolbar and using PERTMASTER Program with Primavera Program we evaluate many hazards and make calculations for that by mathematical equation to make right decisions. We define and calculate risk factor and risk severity to ranking the type of the risk then dealing with it using in that many ways like probability computation, curves, and tables. By introducing variables in the equation of functions in computer programs we calculate the risk in the time and the cost in general case and then mention some examples in industrial facilities field.

Keywords: Risk, Industrial Facilities, PERT, Monte Carlo Simulation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091258

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References:


[1] Aatef Abdel Monem , Mohamed Elkashef , Said Kaseb. (2008). Risk Evaluation and Management. Faculty of Engi-neering, Cairo University.
[2] Al-Bahar, J. F. (1988). Risk Management in Construction Project: A Systematic Analytical Approach for Contractors. Civil Engineering Department, Doctor of Philosophy: University of California at Berkeley.
[3] AIRMIC, ALARM, IRM. (2002). Risk Management Standard.
[4] Bajaj, J. (1997). Analysis of Contractors Approaches to Risk Identification in New South Wales, Australia. Construction Management and Economics, 15, 363–369.
[5] Baloi, D., & Price, A. D. F. (2003). Modelling Global Risk Factors Affecting Construction Cost Performance. International Journal of Project Management, 21, 261–269.
[6] Bannerman, P. L. (2008). Risk and Risk Management in Software Projects: A Reassessment. The Journal of Systems and Software, 81(12), 2118–2133.
[7] Bowles, J. B., & Pelaez, C. E. (1995). Fuzzy Logic Prioritization in a System Failure Mode, Effects and Criticality Analysis. Reliability Engineering and System Safety, 50, 203–213.
[8] Carr, V., & Tah, J. H. M. (2001). A Fuzzy Approach to Construction Project Risk Assessment and Analysis: Construction Project Risk Management System. Advanced in Engineering Software, 32, 847–857.
[9] Chen, D., & Hartman, F. T. (2000). A Neural Network Approach to Risk Assessment and Contingency Allocation. AACE International Transactions.
[10] Egyptian standard (2009), Egyptian Code for the Management of Construction Projects, Code No 311-2009
[11] El-Sayegh, S. M. (2008). Risk Assessment and Allocation in the UAE Construction Industry. International Journal of Project Management, 26, 431–438.
[12] Huang, D., Chen, T., & Wang, M.-J. (2001). A Fuzzy Set Approach for Event Tree Analysis. Fuzzy Sets and Systems, 118, 153–165.
[13] Kaufmann, A., & Gupta, M. M. (1988). Fuzzy Mathematical Models in Engineering and Management Science. Am-sterdam: North-Holland.
[14] Khalafallah, A. M. G., Taha, M. A., & El-Said, M. (2002). Estimating Residential Project Cost Contingencies Using Belief Network. Cairo University.
[15] Klemetti, A. (2006). Risk Management in Construction Project Networks. Report 2006/ 2. Finland: Laboratory of Industrial Management, Helsinki University of Technology.
[16] Lam, K. C., Wang, D., Lee, p. T. K., & Tsang, Y. T. (2007). Modelling Risk Allocation Decision in Construction Contracts. International Journal of Project Management, 25, 485–493
[17] Lyons, T., & Skitmore, M. (2004). Project Management in the Queensland Engineering Construction Industry: A Survey. International Journal of Project Management, 22, 51–61.
[18] Ngai, E. W. T., & Wat, F. K. T. (2005). Fuzzy Decision Support System for Risk Analysis in E-Commerce Development. Decision Support Systems, 40, 235–255.
[19] PM Institute. (2004). A Guide to the Project Management Body of Knowledge (PMBOK Guide) (3rd ed.). PA, USA.
[20] Sonmez, R., Ergin, A., & Birgonul, M. T. (2007). Quantitative Methodology for Determining of Cost Contingency in International Project. Journal of Management in Engineering, 23, 35–39.
[21] Terano, T., Asai, K., & Sugeno, M. (1992). Fuzzy Systems Theory and Its Applications. San Diego, CA: Academic Press.
[22] Teneyuca, D. (2001). Organizational Leader’s Use of Risk Management for Information Technology. Information Security Technical Report, 6(3), 54–59.
[23] White, D. (1995). Application of Systems Thinking to Risk Management: A Review of the Literature. Management Decision, 3(10), 35–45.
[24] Yousef, The Holy Quran, Religious Book For Muslims
[25] Zayed, T., Amer, M., & Pan, J. (2008). Assessing Risk and Uncertainty Inherent in Chinese Highway Projects Using AHP. International Journal of Project Management, 26, 408–419.
[26] Zeng, J., An, M., & Smith, N. J. (2007). Application of a Fuzzy Based Decision Making Methodology to Construction Project Risk Assessment. International Journal of Project Management, 25, 589–600.