Network theory-based analysis of risk interactions in large engineering projects

This paper presents an approach based on network theory to deal with risk interactions in large engineering projects. Indeed, such projects are exposed to numerous and interdependent risks of various nature, which makes their management more difficult. In this paper, a topological analysis based on network theory is presented, which aims at identifying key elements in the structure of interrelated risks potentially affecting a large engineering project. This analysis serves as a powerful complement to classical project risk analysis. Its originality lies in the application of some network theory indicators to the project risk management field. The construction of the risk network requires the involvement of the project manager and other team members assigned to the risk management process. Its interpretation improves their understanding of risks and their potential interactions. The outcomes of the analysis provide a support for decision-making regarding project risk management. An example of application to a real large engineering project is presented. The conclusion is that some new insights can be found about risks, about their interactions and about the global potential behavior of the project.

[1]  J. B. Bowles,et al.  The new SAE FMECA standard , 1998, Annual Reliability and Maintainability Symposium. 1998 Proceedings. International Symposium on Product Quality and Integrity.

[2]  Arnab Chatterjee,et al.  Small-world properties of the Indian railway network. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  S. Newell,et al.  Interdependencies in Complex Project Ecologies: The Case of Biomedical Innovation , 2008 .

[4]  Norman Fenton,et al.  Using Bayesian Networks to Model Expected and Unexpected Operational Losses , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  Carl B Traylor Project Management: A Systems Approach to Planning, Scheduling, and Controlling , 2014 .

[6]  Douglas W. Hubbard,et al.  The Failure of Risk Management: Why It's Broken and How to Fix It , 2009 .

[7]  Kenneth H. Rose A Guide to the Project Management Body of Knowledge (PMBOK® Guide)—Fifth Edition , 2013 .

[8]  D. V. Steward,et al.  The design structure system: A method for managing the design of complex systems , 1981, IEEE Transactions on Engineering Management.

[9]  Tzvi Raz,et al.  Use and benefits of tools for project risk management , 2001 .

[10]  Guy M. Merritt Proactive Risk Management: Controlling Uncertainty in Product Development , 2002 .

[11]  Udo Lindemann,et al.  Structural Complexity Management: An Approach for the Field of Product Design , 2008 .

[12]  R. Strand,et al.  Theories of Complexity Common Denominators of Complex Systems , 2003 .

[13]  Ludovic-Alexandre Vidal,et al.  Understanding project complexity: implications on project management , 2008, Kybernetes.

[14]  Roger Guimerà,et al.  Modeling the world-wide airport network , 2004 .

[15]  Tyson R. Browning,et al.  Applying the design structure matrix to system decomposition and integration problems: a review and new directions , 2001, IEEE Trans. Engineering Management.

[16]  Ludovic-Alexandre Vidal,et al.  Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects , 2011, Expert Syst. Appl..

[17]  Chris Chapman,et al.  Why risk efficiency is a key aspect of best practice projects , 2004 .

[18]  Ray Ison,et al.  Human knowing and perceived complexity: Implications for systems practice , 2004 .

[19]  David Baccarini,et al.  The concept of project complexity—a review , 1996 .

[20]  Michael A. Moss,et al.  How to measure the effectiveness of risk management in engineering design projects? Presentation of RMPASS: a new method for assessing risk management performance and the impact of knowledge management—including a few results , 2008 .

[21]  Hiroshi Noguchi,et al.  Reliability Problem Prevention Method for Automotive Components : Development of GD^3 Activity and DRBFM method for Stimulating Creativity and Visualizing Problems , 2005 .

[22]  Robert J. Chapman,et al.  The controlling influences on effective risk identification and assessment for construction design management , 2001 .

[23]  R. F. Riek,et al.  From experience: Capturing hard-won NPD lessons in checklists , 2001 .

[24]  Kathryn Fraughnaugh,et al.  Introduction to graph theory , 1973, Mathematical Gazette.

[25]  S. El-Sayegh Risk assessment and allocation in the UAE construction industry , 2008 .

[26]  Tyson R. Browning,et al.  Managing complex product development projects with design structure matrices and domain mapping matrices , 2007 .

[27]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[28]  Steven D. Eppinger,et al.  The Misalignment of Product Architecture and Organizational Structure in Complex Product Development , 2004, Manag. Sci..

[29]  K. Neailey,et al.  A Risk Register Database System to aid the management of project risk , 2002 .

[30]  Enrico Zio,et al.  The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures , 2009, Reliab. Eng. Syst. Saf..

[31]  Enrico Zio,et al.  From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures , 2007, Int. J. Crit. Infrastructures.

[32]  Michael Havbro Faber,et al.  Risk Assessment of Decommissioning Options Using Bayesian Networks , 2002 .

[33]  Mauro Mancini,et al.  Dynamic analysis of project risk , 2008 .

[34]  Paul S. Royer Risk Management: The Undiscovered Dimension of Project Management , 2000 .

[35]  A. Saltelli,et al.  Reliability Engineering and System Safety , 2008 .

[36]  Louis Anthony Cox,et al.  What's Wrong with Risk Matrices? , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[37]  Carlo Rafele,et al.  Managing Project Risks Using a Cross Risk Breakdown Matrix , 2006 .

[38]  Michael Lewis,et al.  Cause, consequence and control: towards a theoretical and practical model of operational risk , 2003 .

[39]  Mauro Mancini,et al.  A Multi-Dimensional Analysis of Major Risks in Complex Projects , 2007 .

[40]  Makarand Hastak,et al.  ICRAM-1: Model for International Construction Risk Assessment , 2000 .

[41]  Fran Ackermann,et al.  The Effects of Design Changes and Delays on Project Costs , 1995 .

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

[43]  P. John Clarkson,et al.  Change and customisation in complex engineering domains , 2004 .

[44]  Enrico Cagno,et al.  Analysis of Major Risks in Complex Projects: The Risk Cube , 2006 .

[45]  Michael A. Cusumano,et al.  Managing multiple interdependencies in large scale software development projects , 1997 .

[46]  Chris Chapman,et al.  How to Manage Project Opportunity and Risk: Why Uncertainty Management can be a Much Better Approach than Risk Management , 2011 .

[47]  Matthias Kreimeyer,et al.  A Structural Measurement System for Engineering Design Processes , 2010 .

[48]  Chao Fang,et al.  A simulation-based risk network model for decision support in project risk management , 2012, Decis. Support Syst..