How Benchmarking Can Support the Selection, Planning and Delivery of Nuclear Decommissioning Projects

Abstract Nuclear Decommissioning Projects and Programmes (NDPs) are jeopardized by several risks, long schedule and cost estimates that lay in the range of hundreds of billions of pounds. Moreover, in some countries, these estimates keep increasing and key stakeholders have a limited understanding of the determinants that engender this phenomena. Benchmarking refers to the process of comparing projects in order to identify best practices and generate ideas for improvement. However, even if it is the envisaged approach to tackle the decommissioning challenges (and due to the NDPs' uniqueness), until now, benchmarking has been only partially used. This paper proposes an innovative methodology to benchmark decommissioning projects, both from the nuclear and non-nuclear industry, within the UK and worldwide. From this cross-sectorial and cross-country analysis, it is possible to gather a list of key NDPs' characteristic and statistically test their correlation with the project performance. The ultimate aim of the research underpinning this paper is to investigate the possible causation between the NDPs' characteristics and the NDPs' performance and to develop guidelines to improve the selection, planning and delivery of future NDPs.

[1]  Giorgio Locatelli,et al.  Looking back to see the future: building nuclear power plants in Europe , 2012 .

[2]  Giorgio Locatelli,et al.  Learning Across Megaprojects: The INNOMET Working Group Report , 2015 .

[3]  Chris Leach,et al.  Introduction to statistics: A nonparametric approach for the social sciences , 1979 .

[4]  Benjamin K. Sovacool,et al.  An international comparative assessment of construction cost overruns for electricity infrastructure , 2014 .

[5]  Giorgio Locatelli,et al.  Systems Engineering to improve the governance in complex project environments , 2014 .

[6]  Luis F. Alarcón,et al.  Benchmarking System for Evaluating Management Practices in the Construction Industry , 2004 .

[7]  Rodney Turner,et al.  Forecasting Success on Large Projects: Developing Reliable Scales to Predict Multiple Perspectives by Multiple Stakeholders over Multiple Time Frames , 2012 .

[8]  Nitin R. Patel,et al.  Exact logistic regression: theory and examples. , 1995, Statistics in medicine.

[9]  Barry M. Staw,et al.  ORGANIZATIONAL ESCALATION AND EXIT: LESSONS FROM THE SHOREHAM NUCLEAR POWER PLANT , 1993 .

[10]  J. Whitton,et al.  Public consent for the geologic disposal of highly radioactive wastes and spent nuclear fuel , 2014 .

[11]  Mitchell J. Mergenthaler.  Introduction to statistics: A nonparametric approach , 1976 .

[12]  Giorgio Locatelli,et al.  Corruption in Public projects and Megaprojects: There is an elephant in the room! , 2017 .

[13]  Daniel J. Solove.  A Taxonomy of Privacy , 2006 .

[14]  Giorgio Locatelli,et al.  Competitiveness of Small-Medium, New Generation Reactors: A Comparative Study on Decommissioning , 2010 .

[15]  Ole Jonny Klakegg,et al.  Challenges in Cost Estimation under Uncertainty—A Case Study of the Decommissioning of Barsebäck Nuclear Power Plant , 2016 .

[16]  K. Artto,et al.  A new governance approach for multi-firm projects: Lessons from Olkiluoto 3 and Flamanville 3 nuclear power plant projects , 2011 .

[17]  Pierre-Etienne Labeau,et al.  A contribution to the analysis of equity associated with high-level radioactive waste management , 2016 .

[18]  Naomi Garnett,et al.  Benchmarking for construction: theory and practice , 2000 .

[19]  W. Duncan.  A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE , 1996 .

[20]  Giorgio Locatelli,et al.  Power plants as megaprojects: Using empirics to shape policy, planning, and construction management , 2015 .

[21]  S. K. Park,et al.  A study of the decommissioning procedure of an activated structure through an evaluation of the decommissioning cost for a research reactor , 2016 .

[22]  Masakazu Yamashita.  Nuclear Decommissioning: Planning, Execution and International Experience , 2012 .

[23]  C. Caldas,et al.  Benchmarking Initiatives in the Construction Industry: Lessons Learned and Improvement Opportunities , 2006 .

[24]  M. Laraia.  Introduction to nuclear decommissioning: definitions and history , 2012 .

[25]  Kim S. Cameron,et al.  Making the Impossible Possible: Leading Extraordinary Performance: The Rocky Flats Story , 2006 .

[26]  Jonathon Shlens,et al.  A Tutorial on Principal Component Analysis , 2014, ArXiv.

[27]  S. Verweij.  Set-theoretic methods for the social sciences: a guide to qualitative comparative analysis , 2013 .

[29]  R. Edward Minchin,et al.  Management of Construction Firm Performance Using Benchmarking , 2007 .

[30]  Pg Wright,et al.  Mega transport projects—Beyond the ‘iron triangle’: Findings from the OMEGA research programme , 2013 .

[31]  John R. Rossiter,et al.  The C-OAR-SE procedure for scale development in marketing , 2002 .

[32]  S. Foster.  Doing business research: a guide to theory and practice , 2012 .

[33]  Giorgio Locatelli,et al.  Competitiveness of small-medium, new generation reactors: a comparative study on decommissioning , 2009 .

[34]  Naomi J. Brookes,et al.  Managing social challenges in the nuclear decommissioning industry: A responsible approach towards better performance , 2017 .

[35]  Giorgio Locatelli,et al.  Project characteristics and performance in Europe: An empirical analysis for large transport infrastructure projects , 2017 .