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Applying Statistics to Improve the Performance of Nuclear Decommissioning Projects

[+] Author Affiliations
Diletta Colette Invernizzi, Giorgio Locatelli, Naomi J. Brookes

University of Leeds, Leeds, UK

Paper No. ICONE26-81428, pp. V007T10A009; 10 pages
doi:10.1115/ICONE26-81428
From:
  • 2018 26th International Conference on Nuclear Engineering
  • Volume 7: Decontamination and Decommissioning, Radiation Protection, and Waste Management; Mitigation Strategies for Beyond Design Basis Events
  • London, England, July 22–26, 2018
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5151-7
  • Copyright © 2018 by ASME

abstract

Nuclear Decommissioning Projects and Programmes (NDPs) are characterized by significant risks, long schedules, and high costs that keep rising. Additionally, due to the NDP complexity and variety, it is extremely hard to understand which are the NDP characteristics that are associated with the NDP performance. This research takes the project management perspective, collects empirical information on NDPs and investigates this relationship between NDP characteristics and NDP performance, both through qualitative cross-comparison and quantitative statistical analysis based on the Fisher’s Exact Test (FET). In this paper, the results from the implementation of the FET applied on a pool of European NDPs are presented and discussed. Key takeaways are that some project characteristics present a stronger relationship with the project performance, while others do not show a significant association. Ultimately, qualitative and quantitative analyses complement each other to support the development of guidelines and improve the selection, planning and delivery of future NDPs.

Copyright © 2018 by ASME

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