Application of the graph theory and matrix methods to contractor ranking

International Journal of Project Management

Volumn 27, Issue 6, 2009, Pages 610-619

  Darvish, Maryam ^a   Yasaei, Mehrdad ^a   Saeedi, Azita ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Contractor prequalification; Contractor selection; Graph theory; Matrix methods

Indexed keywords

CONSTRUCTION PROCUREMENT; CONSTRUCTION PROJECTS; CONTRACTOR PREQUALIFICATION; CONTRACTOR SELECTION; DECISION ANALYSIS TOOL; MATRIX METHODS; PROJECT OWNERS; SELECTION CRITERIA;

ARTIFICIAL INTELLIGENCE; CONSTRUCTION INDUSTRY; CONTRACTORS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY;

GRAPH THEORY;

CONSTRUCTION; DECISION ANALYSIS; DECISION SUPPORT SYSTEM; GRAPHICAL METHOD; MATRIX; PROJECT MANAGEMENT; RANKING;

EID: 67349288478     PISSN: 02637863     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijproman.2008.10.004     Document Type: Article

References (28)

1. Cheng E.W.L., and Li H. Contractor selection using the analytic network process. Construction Management and Economics 22 (2004) 1021-1032
2. Chan A.P.C., and Chan A.P.L. Key performance indicators for measuring construction success. Benchmarking: An International Journal 11 2 (2004) 203-221
3. Faisal M.N., Banwet D.K., and Shankar R. Quantification of risk mitigation environment of supply chains using graph theory and matrix methods. European Journal of Industrial Engineering 1 1 (2007) 22-39
4. Hatush Z., and Skitmore M. Contractor selection using multi-criteria utility theory: an additive model. Building and Environment 33 2-3 (1998) 105-115
5. Holt G.D. Which contractor selection methodology?. International Journal of Project Management 16 3 (1998) 153-164
6. Hwang C.H., and Yoon K. Lecture notes in economics and mathematical systems (1981), Springer-Verlag, Berlin
7. Kadefors A., Björlingson E., and Karlsson A. Procuring service innovations: contractor selection for partnering projects. International Journal of Project Management 25 (2007) 375-385
8. Kashiwhgi D., and Byfield R.E. Selecting the best contractor to get performance: on time, on budget, meeting quality expectations. Journal of Facilities Management 1 2 (2002) 103-116
9. Luu D.T., Ng S.T., and Chen S.E. Parameters governing the selection of procurement system - an empirical survey. Engineering, Construction and Architectural Management 10 3 (2003) 209-218
10. Ng S.T., and Skitmore R.M. Client and consultant perspectives of prequalification criteria. Building and Environment 34 (1999) 607-621
11. Palaneeswaran E., and Kumaraswamy M. Recent advances and proposed improvements in contractor prequalification methodologies. Building and Environment 36 (2001) 73-87
12. Rao R.V. Decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods (2007), Springer, London
13. McCabe B., Tran V., and Ramani J. Construction prequalification using data envelopment analysis. Canadian Journal of Civil Engineering 32 (2005) 183-193
14. Topcu Y.I. A decision model proposal for construction contractor selection in Turkey. Building and Environment 39 (2004) 469-481
15. Rao R.V. A decision-making framework model for evaluating flexible manufacturing systems using digraph and matrix methods. International Journal of Advanced Manufacturing Technology 30 (2006) 1101-1110
16. Wong C.H., Nicholas J., and Holt G.D. Using multivariate techniques for developing contractor classification models. Engineering, Construction and Architectural Management 10 2 (2003) 99-116
17. Zavadaskas E.K., and Vilutiene T. A multiple criteria evaluation of multi-family apartment block's maintenance contractors: I-model for maintenance contractor evaluation and the determination of its selection criteria. Building and Environment 41 (2006) 621-632
18. Demirtas E.A., and Üstün O. An integrated multi-objective decision making process for supplier selection and order allocation. Omega 36 (2008) 76-90
19. Mohantry R.P., Agarwal R., Choudhury A.K., and Tiwari M.K. A fuzzy ANP-based approach to R&D project selection: a case study. International Journal of Production 43 24 (2005) 5199-5216
20. Holt G.D., Olomolaiye P.O., and Harris F.C. A conceptual alternative to current tendering practice. Building Research and Information 21 3 (1993) 167-172
21. Holt G.D., Olomolaiye P.O., and Harris F.C. Application of an alternative contractor selection model. Building Research and Information 23 5 (1995) 255-264
22. Faisal M.N., Banwet D.K., and Shankar R. An approach to measure supply chain agility. International Journal of Industrial and Systems Engineering 2 1 (2007) 79-98
23. Nourani Y., and Andresen B. Exploration of NP-hard enumeration problems by simulated annealing-the spectrum values of permanents. Theoretical Computer Science 215 (1999) 51-68
24. Chen S.J., and Hwang C.L. Fuzzy multiple attribute decision making-methods and applications. Lecture notes in economics and mathematical systems (1992), Springer, Berlin Heidelberg New York
25. Huang S.H., and Keskar H. Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics 105 (2007) 510-523
26. Grover S., Agrawal V.P., and Khan I.A. A digraph approach to TQM evaluation of an industry. International Journal of Production Research 42 19 (2004) 4031-4053
27. Ravi V., Shankar R., and Tiwari M.K. Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Computers and Industrial Engineering 48 (2005) 327-356
28. Bayazit O. Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal 13 5 (2006) 566-579