Modeling building projects as a basis for change control

Abstract Changes made in building projects during their design and execution are a major cause for delays, cost overruns and deviations from performance requirements. The impact of changes on the project often becomes clear only after their implementation in the project. At that stage it is difficult to make adjustments or consider alternatives. A timely recognition, by the project team, of the implications of proposed changes can lead to a reconsideration of the changes, so that the completed project would still meet the client's objectives. This paper presents an ongoing research project for the development of a model of building projects, as a basis for change control. The model facilitates an automatic identification of the possible consequences of changes when they are first proposed, prior to their implementation in the design and planning of the project. The model utilizes available sources of project information in order to identify the impact of changes on the primary client objectives of cost, schedule and performance. The proposed model's feasibility was examined through its application in a case-study. The model was used to identify, in retrospect, the possible impact of proposed changes in a case study of a building project. The consequences of different change scenarios were quickly identified by tracing the relationships between the elements of the project. In reality, these consequences became clear only after the changes were fully implemented.

[1]  Arto Kiviniemi,et al.  Requirements management interface to building product models , 2005 .

[2]  Herman Neuckermans,et al.  Representational Limitations and Improvements in Building Information Modeling , 2008 .

[3]  Jim W. Hall,et al.  Software-supported risk management for the construction industry , 2001 .

[4]  Michael R. Duffey,et al.  Statistical dependence in risk analysis for project networks using Monte Carlo methods , 1999 .

[5]  Feniosky Peña-Mora,et al.  Understanding and managing iterative error and change cycles in construction , 2007 .

[6]  Chimay J. Anumba,et al.  A fuzzy system for evaluating the risk of change in construction projects , 2006, Adv. Eng. Softw..

[7]  Gregory A. Howell,et al.  An Update on Last Planner , 2003 .

[8]  Robert S. Arnold,et al.  Software Change Impact Analysis , 1996 .

[9]  Todd Little,et al.  Schedule estimation and uncertainty surrounding the cone of uncertainty , 2006, IEEE Software.

[10]  Thomas Lützkendorf,et al.  Integrated life-cycle analysis , 2002 .

[11]  R. Clemen,et al.  Correlations and Copulas for Decision and Risk Analysis , 1999 .

[12]  M. Ranasinghe Impact of correlation and induced correlation on the estimation of project cost of buildings , 2000 .

[13]  Florian Aalami,et al.  Scheduling with Computer-Interpretable Construction Method Models , 1996 .

[14]  Olly Gotel,et al.  An analysis of the requirements traceability problem , 1994, Proceedings of IEEE International Conference on Requirements Engineering.

[15]  Mohan Raj Manavazhi,et al.  Productivity oriented analysis of design revisions , 2001 .

[16]  Ronie Navon,et al.  Feasibility Study of an Automated Tool for Identifying the Implications of Changes in Construction Projects , 2008 .

[17]  J. H. Rogerson,et al.  A quantitative study of post contract award design changes in construction , 1999 .

[18]  Donald E. Grierson,et al.  Improving Design Coordination for Building Projects. I: Information Model , 2001 .

[19]  Melanie L. Lenard,et al.  Model management decision environment: a Web service prototype for spreadsheet models , 2005, Decis. Support Syst..

[20]  Reiko Heckel,et al.  Graph Transformation in a Nutshell , 2006, FoVMT.

[21]  Fran Ackermann,et al.  Systemic risk assessment: a case study , 2007, J. Oper. Res. Soc..

[22]  Tyson R. Browning,et al.  Modeling impacts of process architecture on cost and schedule risk in product development , 2002, IEEE Trans. Engineering Management.

[23]  Asim Karim,et al.  CONSCOM: An OO Construction Scheduling and Change Management System , 1999 .

[24]  Daniel W. Halpin,et al.  COMPASS—New Paradigm for Project Cost Control Strategy and Planning , 1996 .

[25]  Chimay J. Anumba,et al.  An integrated system for change management in construction , 2007 .

[26]  Marc Roubens,et al.  Advances in decision analysis , 1999 .

[27]  Joseph H. M. Tah,et al.  Information modelling for a construction project risk management system , 2000 .

[28]  Chris Chapman,et al.  Transforming project risk management into project uncertainty management , 2003 .

[29]  Olli Seppänen,et al.  Performance Measurement Using Location-Based Status Data , 2005 .

[30]  Max Henrion,et al.  Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .

[31]  Tarek Hegazy,et al.  Optimization of Resource Allocation and Leveling Using Genetic Algorithms , 1999 .

[32]  Tyson R. Browning,et al.  Adding value in product development by creating information and reducing risk , 2002, IEEE Trans. Engineering Management.

[33]  Manfred Reichert,et al.  Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control , 1998, Journal of Intelligent Information Systems.

[34]  Terry Williams The contribution of mathematical modelling to the practice of project management , 2003 .

[35]  Vicki M. Bier,et al.  Advances in Decision Analysis: Probabilistic Risk Analysis for Engineered Systems , 2007 .

[36]  Peter E.D. Love,et al.  Quantifying the causes and costs of rework in construction , 2000 .

[37]  Arthur M. Geoffrion,et al.  An Introduction to Structured Modeling , 1987 .

[38]  Glenn Ballard,et al.  Project Definition and Wicked Problems , 2002 .

[39]  P. Clarkson,et al.  Predicting change propagation in complex design , 2004 .

[40]  John D. Sterman,et al.  System Dynamics Modeling for Project Management , 1992 .

[41]  J. René van Dorp,et al.  Statistical dependence through common risk factors: With applications in uncertainty analysis , 2005, European Journal of Operational Research.

[42]  Glenn Ballard,et al.  Managing stakeholder expectations in facility management using workplace planning and commitment making techniques , 2005 .

[43]  I-Tung Yang,et al.  Using Gaussian copula to simulate repetitive projects , 2006 .