Managing construction risks of AP1000 nuclear power plants in China

Article

Abstract

Large and complex construction projects face risk from various sources and the successful completion of such projects depends on effective risk management. This study investigates the risk faced by Chinese firms participating in constructing AP1000 nuclear power plants in China. AP1000 nuclear reactors are new, Generation III+ reactors designed by Westinghouse and to be built first in China. The semi-structured interview approach is used to elicit information from experts involved in the AP1000 projects in China. Based on the interviews, various sources of risk are identified. In addition to general risks that megaprojects normally face, there are unique risks that arise from various sources such as technological, political, organizational, and individual personnel risks. Risk management strategies are proposed to manage general and unique risks identified in the study. The findings of this study would be helpful for Chinese companies involved in the construction of AP1000 nuclear power plants to mitigate the risks associated with the projects.

Keywords

Risk management construction risks nuclear power plants AP1000 semi-structured interview 

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References

  1. [1]
    Barber, R.B. (2005). Understanding internally generated risks in projects. International Journal of Project Management, 23(8): 584–590CrossRefGoogle Scholar
  2. [2]
    Bing, L., Akintoye, A., Edwards, P.J. & Hardcastle, C. (2005). The allocation of risk in PPP/PFI construction projects in the UK. International Journal of Project Management, 23(1): 25–35CrossRefGoogle Scholar
  3. [3]
    Carr, V. & Tah, J.H.M. (2001). A fuzzy approach to construct project risk assessment and analysis: construction project risk management system. Advances in Engineering Software, 32(10–11): 847–857CrossRefMATHGoogle Scholar
  4. [4]
    Chapman, C. & Ward, S. (1997). Project Risk Management: Processes, Techniques and Insights, First Edition. Wiley, UKMATHGoogle Scholar
  5. [5]
    Chen, D. & Sha, Y. (2007). More market players needed if China is to meet nuclear power target-experts. In: An Industry Conference on Renewable Energy in Beijing, 1: 1–2, Beijing, May 18, 2007, Interfax-ChinaMATHGoogle Scholar
  6. [6]
    Cohen, B.L. (1990). The Nuclear Energy Option. Plenum Press, Pittsburgh, PA, USAGoogle Scholar
  7. [7]
    Cooke, N.J. (1994). Varieties of knowledge elicitation techniques. International Journal of Human Computer Studies, 41(6): 801–849CrossRefMATHMathSciNetGoogle Scholar
  8. [8]
    Corradini, M.L. (2003). Nuclear power: prospects in the 21st century. In: Rohsenow Symposium on Future Trends in Heat Transfer, Massachusetts Institute of Technology, Cambridge, MAGoogle Scholar
  9. [9]
    Cullen, J. & Bryman, A. (1988). The knowledge acquisition bottleneck: a time for reassessment? Expert Systems, 5(3): 216–225CrossRefGoogle Scholar
  10. [10]
    Dixon, H.J., Doores, J.W., Joshi, L. & Sinclair, F.L. (2001). Agroecological Knowledge Toolkit for Windows: Methodological Guidelines, Computer Software and Manual for AKT5. School of Agricultural and Forest Sciences, University of Wales, Bangor, UKGoogle Scholar
  11. [11]
    Drury, C.G. (1990). Methods for direct observation of performance. In: Wilson, J.R., Corlett, E.N. (eds.), Evaluation of Human Work: A Practical Ergonomics Methodology, pp. 35–57. Taylor and FrancisGoogle Scholar
  12. [12]
    Dvir, D., Sadeh, A. & Malach-Pines, A. (2006). Projects and project managers: the relationship between project managers, personality, project types, and project success. Project Management Journal, 37(5): 36–48Google Scholar
  13. [13]
    Edwards, P.J. & Bowen, P.A. (1998). Risk and risk management in construction: a review and future directions for research. Engineering, Construction and Architectural Management, 5(4): 339–349CrossRefGoogle Scholar
  14. [14]
    Evans, A.W., Jentsch, F., Hitt, J.M., Bowers, C., & Salas, E. (2001). Mental model assessments: is there convergence among different methods? In: Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting, 293–296Google Scholar
  15. [15]
    Flyvbjerg, B., Bruzelius, N. & Rothengatter, W. (2003). Megaprojects and Risk: An Anatomy of Ambition. Cambridge University Press, Cambridge, UKGoogle Scholar
  16. [16]
    Flyvbjerg, B. (2006). From Nobel Prize to project management: getting risks right. Project Management Journal, 37(3): 5–15Google Scholar
  17. [17]
    Ghosh, S. & Jintanapakanont, J. (2004). Identifying and assessing the critical risk factors in an underground rail project in Thailand: a factor analysis approach. International Journal of Project Management, 22(8): 633–643CrossRefGoogle Scholar
  18. [18]
    Hoffman, R.R., Shadbolt, N.R., Burton, A.M. & Klein, G. (1995). Eliciting knowledge from experts: a methodological analysis. Organizational Behavior and Human Decision Processes, 62(2): 129–158CrossRefGoogle Scholar
  19. [19]
    Hyvari, I. (2006). Success of projects in different organizational conditions. Project Management Journal, 37(4): 31–41Google Scholar
  20. [20]
    IAEA. (2003). People’s Republic of China, IAEA Energy and Economic Database and Country Information, 210–230. Available via DIALOG. http://www-pub.iaea.org/MTCD/publications/PDF/cnpp2003/CNPP_Webpage/PDF/2002/Documents/Documents/China%20PR%202002.pdf. Cited September 6, 2010
  21. [21]
    Kutsch, E. & Hall, M. (2005). Intervening conditions on the management of project risk: dealing with uncertainty in information technology projects. International Journal of Project Management, 23(8): 591–599CrossRefGoogle Scholar
  22. [22]
    Madachy, R.J. (1997). Heuristic risk assessment using cost factors. IEEE Software, 14(3): 51–59CrossRefGoogle Scholar
  23. [23]
    Medda, F. (2007). A game theory approach for the allocation of risks in transport public private partnerships. International Journal of Project Management, 25(3): 213–218CrossRefGoogle Scholar
  24. [24]
    Nogueira, J.C. & Raz, T. (2006). Structure and flexibility of project teams under turbulent environments: an application of agent-based simulation. Project Management Journal, 37(2): 5–10Google Scholar
  25. [25]
    Ou, Y. (2007). The development tendency of nuclear power technologies in the world and position of the third generation nuclear power technologies. In: Conference on the Third Generation Nuclear Power Technologies, 1: 4–9, Shanghai, China, April 25, 2007Google Scholar
  26. [26]
    Project Management Institute. (2009). A Guide to the Project Management Body of Knowledge (PMBOK Guide), 4th Edition. Project Management Institute, Newtown Square, PA, USAGoogle Scholar
  27. [27]
    Sasse, M.A. (1991). How to t(r)ap users’ mental models. In: Tauber, M.J., Ackermann, D. (eds.), Mental Models and Human-computer Interaction 2, pp. 59–79. ElsevierGoogle Scholar
  28. [28]
    Schulz, T.L. (2006). Westinghouse AP1000 advanced passive plant. Nuclear Engineering and Design, 236(14–16): 1547–1557CrossRefGoogle Scholar
  29. [29]
    Schvaneveldt, R.W. (1990). Pathfinder Associative Networks: Studies in Knowledge Organization. Ablex Publishing, Norwood, NJ, USAGoogle Scholar
  30. [30]
    Shadbolt, N. & Burton, M. (1990). Knowledge elicitation. In: Wilson, J.R., Corlett, E.N. (eds.), Evaluation of Human Work: A Practical Ergonomics Methodology, pp. 321–345. Taylor and FrancisGoogle Scholar
  31. [31]
    Shaw, M.L.G. & Woodward, J.B. (1990). Modeling expert knowledge. Knowledge Acquisition, 2(3): 179–206CrossRefGoogle Scholar
  32. [32]
    Sundstrom, G.A. (1991). Process tracing of decision making: an approach for analysis of human-machine interactions in dynamic environments. International Journal of Man-machine Studies, 35(6): 843–858CrossRefGoogle Scholar
  33. [33]
    Taylor, H. (2006). Risk management and problem resolution strategies for IT projects: prescription and practice. Project Management Journal, 37(5): 49–63Google Scholar
  34. [34]
    Turner, J.R. (2005). The role of pilot studies in reducing risk on projects and programmes. International Journal of Project Management, 23(1): 1–6CrossRefGoogle Scholar
  35. [35]
    Westinghouse Electric Company. (2007). AP1000 design control document, APP-GW-GL-700, Revision 16. Pittsburgh, PA, USAGoogle Scholar
  36. [36]
    World Nuclear Association. (2007). Nuclear power in China. Available via DIALOG. http://www.world-nuclear.org/info/inf63.html. Cited November 2007
  37. [37]
    Xiaoliang, D. (2007). Program on self-reliance construction of AP1000. In: Conference on the Third Generation Nuclear Power Technologies, 1: 34–38, Shanghai, China, April 25, 2007Google Scholar
  38. [38]
    Xie, G., Zhang, J. & Lai, K.K. (2006). Risks avoidance in bidding for software project based on life cycle management theory. International Journal of Project Management, 24(6): 516–521CrossRefGoogle Scholar
  39. [39]
    Zhang, H. (2007a). The third generation nuclear power technologies and the development of China’s nuclear energy industry. In: Conference on the Third Generation Nuclear Power Technologies, 1: 19–21, Shanghai, China, April 25, 2007Google Scholar
  40. [40]
    Zhang, L. (2007b). The role of the third generation nuclear power technology in China’s nuclear power development. In: Conference on the Third Generation Nuclear Power Technologies, 1: 51–54, Shanghai, China, April 25, 2007Google Scholar

Copyright information

© Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.China Nuclear Industry Fifth Construction CorporationShanghaiChina
  2. 2.Department of Mechanical and Industrial EngineeringRyerson UniversityTorontoCanada

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