Project risk management processes: Improving coordination using a clustering approach

Research in Engineering Design

Volumn 22, Issue 3, 2011, Pages 189-206

  Marle, Franck ^a   Vidal, Ludovic Alexandre ^a  

^a ECOLE CENTRALE PARIS   (France)

Author keywords

Change management; Complex interactions organizational reconfiguration Clustering; Project risk management

Indexed keywords

BROKEN DOWN; CHANGE MANAGEMENT; CIVIL ENGINEERING INDUSTRY; CLUSTERING APPROACH; COMPLEX INTERACTION; COMPLEX PROJECTS; COORDINATED DECISION; INTERACTION RATE; MATHEMATICAL FORMULATION; MATRIX REPRESENTATION; PROJECT RISK; PROJECT RISK MANAGEMENT; PROJECT RISK MANAGEMENT PROCESS; PUBLIC PRIVATE PARTNERSHIPS;

CIVIL ENGINEERING; COORDINATION REACTIONS; RISK MANAGEMENT;

RISKS;

EID: 80054954897     PISSN: 09349839     EISSN: 14356066     Source Type: Journal    
DOI: 10.1007/s00163-011-0106-9     Document Type: Article

References (46)

1. Baccarini D (1996) The concept of project complexity-a review. Int J Project Manag 14(4):201-204
2. Ben-Arieh D, Sreenivasan R (1999) Information analysis in a distributed dynamic group technology method. International J Product Econ 60-61:427-432
3. Bouzaïene-Marle L (2005). AVISE, Anticipation du Vieillissement par Interrogation et Stimulation d'Experts. Laboratoire Genie Industriel, Ecole Centrale Paris, PhD
4. Chen S, Lin L (2003) Decomposition of interdependent task group for concurrent engineering. Comput Indus Eng 44(3):435-459
5. Clarkson J, Simons C, Eckert C (2004) Predicting change propagation in complex design. J Mech Des 126. doi:10.1115/1.1765117
6. Dong Y, Zhuang Y, Chen K, Tai X (2006) A hierarchical clustering algorithm based on fuzzy graph connectedness. Fuzzy Sets Syst 157:1760-1774 (Pubitemid 43729501)
7. Durgaprasad J, Rao T (1997) Parameter interdependencies for development of KBS for risk analysis. J Comput Civil Eng 11(4):224-230 (Pubitemid 127601599)
8. Earl C, Johnson J, Eckert CM (2001) Complexity in planning design processes. In: 13th International conference on engineering design. Glasgow, Scotland
9. Eckert C, Clarkson J, Zanker W (2004) Change and customisation in complex engineering domains. Res Eng Des 15:1-21. doi: 10.1007/s00163-003-0031-7
10. Edmonds B (1999). Syntactic measures of complexity. Faculty of arts. Manchester, University of Manchester. PhD
11. Elhag TMS, Wang YM (2007) Risk assessment for bridge maintenance projects: neural networks versus regression techniques. J Comput Civil Eng 21:402-409 (Pubitemid 47587957)
12. Eppinger S, Salminen V (2001) Patterns of product development interactions. International Conference on Engineering Design, Glasgow, Scotland
13. Eppinger S, Whitney DE, Smith R, Gebala D (1994) A model-based method for organizing tasks in product development. Res Eng Des (6):1-13
14. Freeman L (1977) Set of measures of centrality based on betweenness. Sociometry 40:35-41
15. Giffin M, De Weck O, Bounova G, Keller R, Eckert C, Clarkson J (2009) Change propagation analysis in complex technical systems. J Mech Des 131. doi:10.1115/1.3149847 (081001-1
16. Girvan M, Newman M (2002) Community structure in social and biological networks. Proc Nat Acad Sci (PNAS) 99(12):7821-7826. doi:10.1073/pnas.122653799 (Pubitemid 34650963)
17. Gusfield D (1997) Algorithms on strings, trees and sequences. Cambridge University Press, Cambridge
18. Hartigan JA (1975) Clustering algorithms. Wiley, London
19. Hennig C, Hausdorf B (2006) A robust distance coefficient between distribution areas incorporating geographic distances. Syst Biol 55(1):170-175
20. Iyer KC, Mohammed S (2010) Hierarchical structuring of PPP risks using interpretative structural modeling. J Construct Eng Manag 136(2):151-159
21. Kannan R, Vempala S, Vetta A (2001) On clusterings: good, bad and spectral working paper
22. Karp RM (1976) Probabilistic analysis of partitioning algorithms for the travelling salesman problem in the plane. Math Oper Res 2(3):209-224
23. Kim S (2003) Graph theoretic sequence clustering algorithms and their applications to genome comparison. In: Wu CH, Wang P, Wang JTL (eds) Computational biology and genome informatics, vol 4. World Scientific, Singapore
24. Kloss-Grote B, Moss M (2008) 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. Res Eng Design 19:71-100. doi:10.1007/ s00163-008-0049-y
25. Lakroum S, Devlaminck V, Terrier P, Biela-Enberg P, Postaire JG (2005) Clustering of the poincare vectors image processing, 2005. ICIP 2005. IEEE Int Conf 2:11-14
26. Laurikkala H, Puustinen E, Pajarre E, Tanskanen K (2001) Reducing complexity of modelling in large delivery projects. International Conference on Engineering Design, Glasgow, Scotland
27. Le Moigne J (1990) La théorie du système général. Théorie de la modélisation, Presses Universitaires de France
28. Lough K, Van Wie M, Stone R, Tumer I (2009) Promoting risk communication in early design through linguistics analyses. Res Eng Des 20:29-40
29. Mahalanobis PC (1936) On the generalised distance in statistics. Proc Nat Inst Sci India 2(1):49-55
30. Marle F (2002) Methods for helping decision-making in projects. PMI Europe Conference, Cannes, France, June 2002
31. Phelan S (1995). From chaos to complexity in strategic planning. In: 55th meeting of Academy of Management, Vancouver
32. PMI SC (2008) A guide to the project management body of knowledge (PMBOK) (2008 ed). Newton Square, PA, USA (Project Management Institute)
33. Rodgers JL, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42:59-66
34. Saaty T (1980) The analytic hierarchy process: planning, priority setting. Resource Allocation, McGraw-Hill
35. Schaeffer SE (2007) Graph clustering. Comput Sci Rev I:27-64
36. Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888-905
37. Simon H (1981) The sciences of the artificial. The MIT Press, Cambridge
38. Sosa M (2008) A structured approach to predicting and managing technical interactions in software development. Res Eng Des
39. Steward D (1981) The Design structure matrix: a method for managing the design of complex systems. IEEE Trans Eng Manag 28(3):71-74 (Pubitemid 12430079)
40. Suh N (1999) A theory of complexity, periodicity and the design axioms. Res Eng Design 11:116-133
41. Vidal L, Marle F (2007) Modeling project complexity. International Conference on Engineering Design, Paris
42. Vidal L, Marle F (2008) Understanding project complexity: implications on project management. Kyber Int J Syst Cybern Manag Sci
43. Vidal L, Marle F, Bocquet JC (2009) Interactions-based clustering to assist project risk management. International Conference on Engineering Design ICED'09, Stanford
44. Yin Y, Yasuda K (2006) Similarity coefficient methods applied to the cell formation problem: A taxonomy and review. Int J Product Econ 101:329-352 (Pubitemid 43177618)
45. Zika-Viktorsson A, Ritzen S (2005) Project competence in product development. Res Eng Design 15:193-200. doi:10.1007/s00163- 004-0051-y (Pubitemid 40454292)
46. Zotteri G, Kalchschmidt M, Caniato F (2005) The impact of aggregation level on forecasting performance. Int J Product Econ 93-94:479-491