A fuzzy system for evaluating the risk of change in construction projects

Advances in Engineering Software

Volumn 37, Issue 9, 2006, Pages 583-591

  Motawa, Ibrahim A ^a   Anumba, Chimay J ^b   El Hamalawi, Ashraf ^b  

^a University of Mansoura   (Egypt)

^b LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Change management; Fuzzy models; Risk assessment

Indexed keywords

COMPUTER SIMULATION; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROJECT MANAGEMENT; RISK ASSESSMENT; SYSTEMS ANALYSIS;

CHANGE MANAGEMENT; FUZZY MODELS; IT SYSTEMS; PROJECT INFORMATION;

FUZZY CONTROL;

EID: 33746375011     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2006.01.006     Document Type: Article

References (25)

1. Construction Industry Institute (CII). Project change management Research team. Special publication 43-1. US: The University of Texas at Austin; 1994.
2. Construction Industry Institute (CII) conference. Project change management-implementation feedback report, 1996.
3. Cox I.D., Morris J.P., Rogerson J.H., and Jared G.E. A quantitative study of post contract award design changes in construction. J Constr Mgmt Economics 17 (1999) 427-439
4. Stocks S.N., and Singh A. Studies on the impact of functional analysis concept design on reduction in change orders. J Constr Mgmt Economics 17 (1999) 251-267
5. Construction Industry Research and Information Association (CIRIA). Managing project change-a best practice guide, 2001.
6. Ibbs C.W., Wong C.K., and Kwak Y.H. Project change management system. J Mgmt Engrg ASCE 17 3 (2001) 159-165
7. Hester WT, Kuprenas JA, Chang TC. Construction changes and change orders: their magnitude and impact. Construction Industry Institute (CII), Source document 66, CII, Austin, TX, 1991.
8. Ibbs C.W. Quantitative impacts of project change: size issues. J Constr Engrg Mgmt ASCE 123 3 (1997) 308-311
9. Hanna A.S., Russell J.S., and Vandenberg P.J. The impact of change orders on mechanical construction labour efficiency. J Constr Mgmt Economics 17 (1999) 721-730
10. Williams T.M. Safety regulation changes during projects: the use of system dynamics to quantify the effects of change. I J Project Mgmt 18 1 (2000) 23-31
11. Lee M., Hanna A.S., and Loh W. Decision tree approach to classify and quantify cumulative impact of change orders on productivity. J Comput Civil Engrg ASCE 18 2 (2004) 132-144
12. Ahmed S., Sriram D., and Logcher R. Transaction-management issues in collaborative engineering. J Comput Civil Engrg ASCE 6 1 (1992) 85-105
13. Peltonen H, Mannisto T, Alho K, Sulonen R. An engineering document management system. In: Proceedings of ASME winter annual meeting, 1993.
14. Spooner D., and Hardwick M. Using persistent object technology to support concurrent engineering systems. Concurrent engineering: Methodology and applications (1993), Elsevier Science, Amsterdam p. 205-34
15. Ganeshan R., Garrett J., and Finger S. A framework for representing design intent. Des Studies 15 1 (1994) 59-84
16. Krishnamurthy K., and Law K. A data management model for design change control. Concurrent Engrg: Res Appl 3 4 (1995) 329-343
17. Mokhtar A., Bedard C., and Fazio P. Information model for managing design changes in a collaborative environment. J Comput Civil Engrg ASCE 12 2 (1998) 82-92
18. Soh C., and Wang Z. Parametric coordinator for engineering design. J Comput Civil Engrg ASCE 14 4 (2000) 233-240
19. Hegazy T., Zaneldin E., and Grierson D. Improving design coordination for building projects-I: information model. J Constr Engrg Mgmt ASCE 127 4 (2001) 322-329
20. Karim A., and Adeli H. CONSCOM: an OO construction scheduling and change management system. J Constr Engrg Mgmt ASCE 125 5 (1999) 368-376
21. Charoenngam C., Coquince S.T., and Hadikusumo B.H.W. Web-based application for managing change orders in construction projects. J Constr Innovat 3 (2003) 197-215
22. Motawa IA, Anumba CJ, El-Hamalawi A, Chung P, Yeoh M. An innovative approach to the assessment of change implementation in construction projects. In: Proceeding of the second international conference on innovation in architecture, engineering and construction, Loughborough University, UK, June 25-27, 2003. p. 729-40.
23. Zadeh L. A theory of approximate reasoning. Machine intelligence (1979), Halstead Press, New York p. 149-94
24. Motawa IA, Anumba CJ, El-Hamalawi A, Sun M, Chung PWH, Yeoh M. A fuzzy model for change prediction in construction projects. In: Proceedings of the 10th EG-ICE international workshop on intelligent computing in engineering (European Group for Intelligent Computing in Engineering), Delft University of Technology, Delft, The Netherlands, July 3-4, 2003. p. 44-52.
25. Motawa IA, Anumba CJ, El-Hamalawi A, Chung PWH, Yeoh M, Sun M. Development of a fuzzy system for change prediction in construction projects. In: Proceedings of the Xth international conference on computing in civil and building engineering (Xth ICCCBE), Weimar, Germany, June 02-04, 2004.