Contractor pre-qualification model: State-of-the-art

International Journal of Project Management

Volumn 25, Issue 5, 2007, Pages 465-474

  El Sawalhi, Nabil ^a   Eaton, David ^a   Rustom, Rifat ^b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b ISLAMIC UNIVERSITY OF GAZA   (Palestine)

Author keywords

Analytical hierarchy process; Contractor pre qualification; Genetic algorithms; Neural network

Indexed keywords

ANALYTIC HIERARCHY PROCESS; CONSTRUCTION INDUSTRY; GENETIC ALGORITHMS; NEURAL NETWORKS;

CONTRACTOR PRE-QUALIFICATION;

CONTRACTORS;

ANALYTICAL HIERARCHY PROCESS; ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; MODEL; NONLINEARITY;

EID: 34248333828     PISSN: 02637863     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijproman.2006.11.011     Document Type: Article

References (53)

1. Russell J.S. Decision models for analysis and evaluation of construction contractors. J Construct Manage Econom 10 (1992) 185-202
2. Sonmez M., Yang J.B., and Holt G.D. Addressing the contractor selection problem using an evidential reasoning approach. Eng Construct Architect Manage 8 3 (2001) 198-210
3. Lam K.C., Ng S.T., Hu T., Skitmore R.M., and Cheung S.O. Decision support system for contractor pre-qualification-artificial neural network model. Eng Construct Architect Manage 7 3 (2000) 251-266
4. Ng S.T., Skitmore R.M., and Smith N.J. Decision-makers perceptions in the formulation of prequalification criteria. Eng Construct Architect Manage 6 2 (1999) 155-165
5. Kumaraswamy M.M. Contractor evaluation and selection: a Hong Kong perspective. Build Environ 31 3 (1996) 273-282
6. Holt G.D. Applying cluster analysis to construction contractor classification. Build Environ 31 6 (1996) 557-568
7. Ng S.T., and Skitmore R.M. Client and consultant perspectives of pre- qualification criteria. Build Environ 34 (1999) 607-621
8. Hatush Z., and Skitmore R.M. Assessment and evaluation of contractor data against client goals using PERT approach. Construct Manage Econom 15 (1997) 327-340
9. Palaneeswaran E., and Kumaraswamy M. Recent advances and proposed improvement in contractor pre-qualification methodologies. Build Environ 36 (2001) 73-87
10. Taha M. Applying distributed artificial intelligence to the pre-qualification of construction contractors. Unpublished Ph.D. thesis, The University of Wisconsin-Madison, 1994.
11. Holt G.D., Olomolaiye P.O., and Harris F.D. Evaluating pre-qualification criteria in contractor selection. Build Environ 29 4 (1994) 437-448
12. Munaif M. Multiple criteria decision making in contractor selection and evaluation of construction bid in the Saudi Arabia. Unpublished PhD thesis, University of Missouri-Rolla, 1995.
13. Fong P.S., and Choi S.K.-Y. Final contractor selection using the analytical hierarchy process. Construct Manage Econom 18 (2000) 547-557
14. Wong C.H., Holt G.D., and Harris P. Multi-criteria selection or lowest price? Investigation of UK construction clients' tender evaluation preferences. Eng Construct Architect Manage 8 4 (2001) 257-271
15. Mahdi I.M., Riley M.J., Fereig S.M., and Alex A.P. A multi-criteria approach to contractor selection. Eng Construct Architect Manage 9 1 (2002) 29-37
16. Mangitung DM, Emsley MW. Decision criteria for periodic pre-qualification in the UK construction industry. In: Proc of the RICS foundation and building research conference, 2002.
17. Tam C.M., and Harris F. Model for accessing building contractors' project performance. Eng Construct Architect Manage 3 (1996) 187-203
18. Diekmann J.E. Cost-plus contractor selection. J Tech Council ASCE 107 (1981) 13-25
19. Nguyen V.U. Tender evaluation by fuzzy sets. J Construct Eng Manag ASCE 111 (1985) 231-243
20. Juang C, Burati J, Kalidindi S. A fuzzy system for bid proposal evaluation using microcomputers. Civil Enginnering System, 1987.
21. Russell J.S., Skitbniewski M.J., and Cozier D.R. Qualifier-2: Knowledge based system for contractor pre-qualification. J Construct Eng Manage 116 1 (1990) 155-169
22. Ng S.T., and Smith N.J. Verification and validation of case based prequalification system. J Comput Civil Eng 12 4 (1998) 215-226
23. Hatush Z., and Skitmore R.M. Contractor selection using multi-criteria utility theory: An Additive Model. Build Environ 33 2-3 (1998) 105-115
24. Lam K.C., Hu T., Ng S.T., Skitmore R.M., and Cheung S.O. A fuzzy neural network approach for contractor pre-qualification. Construct Manage Econom 19 (2001) 175-188
25. Pongpeng J., and Liston J. A multi-criteria model's survey: state of the art and some necessary capabilities of future models. Construct Manage Econom 21 7 (2003) 665-670
26. Wong C.H., Nicholas J., and Holt G.D. Using multivariate techniques for developing contractor classification models. Eng Construct Architect Manage 10 2 (2003) 99-116
27. Topcu Y.I. A decision model proposal for construction contractor selection in Turkey. Build Environ 39 (2004) 469-481
28. Russell J.S., and Skitbniewski M.J. Qualifier-1: Contractor pre-qualification model. J Comput Civil Eng 4 1 (1990) 77-91
29. Tran VHQ. Practical frontier in construction pre-qualification using data envelopment analysis. Master thesis, University of Toronto, 2002.
30. Russell J.R. Constructor pre-qualification: Choosing the best constructor and avoiding constructor failure (1996), ASCE Press
31. Al-Harbi K. Application of the AHP in project management. Int J Project Manage 19 (2001) 19-27
32. Hatush Z. Contractor selection using multicriteria utility theory. Unpublished PhD thesis. The University of Salford, UK, 1996.
33. Ng S.T. EQUAL: a case based contractor pre-qualifier. Automat Construct 10 (2001) 443-457
34. Khosrowshahi F. Neural network model for contractors' pre-qualification for local authority projects. Eng Construct Architect Manage 6 3 (1999) 315
35. Saaty T.L. Multicriteria decision making: the analytic hierarchy process (1989), RWS Publication, Pittsburgh
36. Belton V., and Gear T. The legitimacy of rank reversal - a comment. Omega 13 3 (1985) 143-144
37. Dyer JS, Wendel RE. A critique of the analytical hierarchy process. Working paper 847, 85-4-24, Department of Management, The University of Texas at Austin, 1985.
38. Harker P.T., and Vargas L.G. The theory of ratio scale estimation: Saaty's analytic hierarchy process. Manage Sci 33 1 (1987) 1383-1403
39. Perez J. Some comments on Saaty's AHP. Manage Sci 41 6 (1995) 1091-1095
40. Montana D.J. Neural network weight selection using genetic algorithms (1994), Bolt Beranek and Newman Inc.
41. Koehn P. Combining genetic algorithms and neural networks: the encoding problem. MSc thesis, The University of Tennessee, Knoxville, 1994.
42. Cho S. Pattern recognition with neural networks combined by genetic algorithm. Fuzzy Sets Syst 103 (1999) 339-347
43. Bee-Hua C. Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: the case of the Singapore residential sector. Construct Manage Econom 18 (2000) 209-217
44. Yang Y., Linkens D., and Mahfouf M. Genetic algorithms and hybrid neural network modelling for aluminium stress-strain prediction. Process Inst Mech Eng 217 1 (2002)
45. Poyhonen M., Hamalainen R., and Salo A. An experiment on the numerical modeling of verbal ratio statement. J Multi-Criteria Decision Anal 6 (1997) 1-10
46. Stewart T. A critical survey on the status of multiple decision making theory and practice. OMEGA-Int J Manage Sci 20 (1992) 569-586
47. Nydick R.L., and Hill R.P. Using the analytic hierarchy process to structure the supplier selection procedure. Int J Purchasing Mater Manage, Spring (1992) 31-36
48. Mascoll SG. Organizational structural and contracts for construction projects and their selection. Ph.D. thesis. University of Leeds Department of Civil Engineering, 1984.
49. Kahramana C., Cebecia U., and Ruanb D. Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. Int J Prod Econom 87 (2004) 171-184
50. Evans J., and Olson D. Statistics, data analysis, and decision modelling. 2nd ed. (2003), Prentice Hall
51. Haykin S. Neural networks: comprehensive foundation. 2nd ed. (1999), Prentice Hall, New Jersey
52. Fu L. Neural networks in computer intelligence (1994), McGraw-Hill, Inc
53. Belton V. A comparison of the analytic hierarchy process and a simple multi-attribute value function. Eur J Oper Res 26 (1986) 7-21