Abstract
A purely price-based approach to contractor selection has been identified as the root cause for many serious project delivery problems. Therefore, the capability of the contractor to execute the project should be evaluated using a multiple set of selection criteria including reputation, past performance, performance potential, financial soundness and other project specific criteria. An industry-wide questionnaire survey was conducted with the objective of identifying the important criteria for adoption in the selection process. In this work, a fuzzy set based model was developed for contractor prequalification/evaluation, by using effective criteria obtained from the percept of construction professionals, taking subjective judgments of decision makers also into consideration. A case study consisting of four alternatives (contractors in the present case) solicited from a public works department of Pondicherry in India, is used to illustrate the effectiveness of the proposed approach. The final selection of contractor is made based on the integrated score or Overall Evaluation Score of the decision alternative in prequalification as well as bid evaluation stages.
Similar content being viewed by others
References
L.G. Crowley, D.E. Hancher, Evaluation of competitive bids. J. Constr. Eng. Manag. ASCE 121(2), 238–245 (1995)
T. Alhazmi, R. McCaffer, Project procurement system selection model. J. Constr. Eng. Manag. ASCE 126(3), 176–184 (2000)
F. Herrera, V.E. Herrera, Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst. 115, 67–82 (2000)
N. Banaitiene, A. Banaitis, Analysis of criteria for contractors’ qualification evaluation. Technol. Econ. Dev. Econ. 12(4), 276–282 (2006)
F. Herrera, V.E. Herrera, J.L. Verdegay, A model of consensus in group decision making under linguistic assignments. Fuzzy Sets Syst. 78, 73–87 (1996)
M. Sonmez, J.B. Yang, G.D. Holt, Addressing the contractor selection problem using an evidential reasoning approach. Eng. Constr. Archit. Manag. 8(3), 198–210 (2001)
J.S. Russell, D.E. Hancher, M.J. Skibniewski, Contractor prequalification data for construction owners. Constr. Manag. Econ. 10, 117–129 (1992)
G.D. Holt, P.O. Olomolaiye, F.C. Harris, Evaluating prequalification criteria in contractor selection. Build. Environ. 29(4), 437–448 (1994)
Z. Hatush, M. Skitmore, Criteria for contractor selection. Constr. Manag. Econ. 15(1), 19–38 (1997)
F. Waara, J. Brochner, Price and non-price criteria for contractor selection. J. Constr. Eng. Manag. ASCE 132(8), 797–804 (2006)
M.V. Krishna Rao, V.S.S. Kumar, P. Rathish Kumar, Contractor selection criteria in the indian context: a proposal. NICMAR J. Constr. Manag. 30(3), 13–22 (2015). (July–September Issue)
E. Palaneeswaran, M. Kumaraswamy, Recent advances and proposed improvements in contractor prequalification methodologies. Build. Environ. 36(1), 73–87 (2001)
V.U. Nguyen, Tender evaluation by fuzzy sets. J. Constr. Eng. Manag. ASCE 111(3), 231–243 (1985)
G.D. Holt, P.O. Olomolaiye, F.C. Harris, Applying multi-attribute analysis to contractor selection decisions. Eur. J. Purch. Supply Manag. 1(3), 139–148 (1994)
Z. Hatush, M. Skitmore, Assessment and evaluation of contractor data against client goals using PERT approach. Constr. Manag. Econ. 15, 327–340 (1997)
J.S. Russell, M.J. Skibniewski, Qualifier-2: knowledge-based system for contractor prequalification. J. Constr. Eng. Manag. ASCE 116(1), 157–171 (1990)
M. Sonmez, G.D. Holt, J.B. Yang, G. Graham, Applying evidential reasoning to prequalifying construction contractors. J. Manag. Eng. 18(3), 111–119 (2002)
B. McCabe, V. Tran, J. Ramani, Construction prequalification using data envelopment analysis. Can. J. Civ. Eng. 32(1), 183–193 (2005)
A.S. Hanna, J.S. Russell, M.A. Taha, S.C. Park, Application of neural networks to owner–contractor prequalification, in ed. by N Kartam, I Flood, J.H Garrett Artificial neural networks for civil engineers: fundamentals and applications (ASCE, New York, 1997), pp. 124–136
K.C. Lam, T.S. Hu, S.T. Ng, M. Skitmore, S.O. Cheung, A fuzzy neural network approach for contractor pre-qualification. Constr. Manag. Econ. 19, 175–188 (2001)
D. Singh, R.L.K. Tiong, Fuzzy decision framework for contractor selection. J. Constr. Eng. Manag. ASCE 131(1), 62–70 (2005)
D. Singh, R.L.K. Tiong, Contractor selection criteria: investigation of opinions of Singapore construction practitioners. J. Constr. Eng. Manag. ASCE 132(9), 998–1008 (2006)
A.N. Morote, F. Ruz-Vila, A fuzzy multi-criteria decision making model for construction contractor prequalification. Autom. Constr. 25, 8–19 (2012)
M.V. Krishna Rao, V.S.S. Kumar, P. Rathish Kumar, Prequalification of contractor in the construction industry using multi-attribute utility theory: a multiplicative approach. Malays. J. Civ. Eng. 28(3), 469–480 (2016)
P. Paul, P.S. Salini, S. Mohan. Selection of the most optimal contractor in Indian Construction Industry using TOPSIS and Extended TOPSIS model. IOSR J. Mech. Civ. Eng. 67–78 (2016). https://www.iosrjournals.org
M.V. Krishna Rao. Multi-criteria decision making for contractor selection—a fuzzy set theoretic approach. Ph.D. thesis, Osmania University, Hyderabad, India (2013)
E. Plebankiewicz, Criteria of contractor selection used by Polish investors. J. Civ. Eng. Manag. 15(4), 377–385 (2008)
T.H. Nguyen, T. Shehab, Selecting an architecture–engineering team by using fuzzy set theory. Eng. Constr. Archit. Manag. 15(3), 282–298 (2008)
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix: Sample Questionnaire
This questionnaire lists out several evaluation criteria, sub-criteria and their measures that are normally considered by the project owners/clients or their representatives to assess the contractors’ potential to execute the construction project under consideration. Please give your rating, by ticking appropriate one, based on your experience with contractor selection process, their relevance or level of importance in assessing the contractors’ potential to deliver the project at hand.
Scale | Meaning |
---|---|
IR | Particular criterion/attribute (measure) is irrelevant in assessing the contractor’s potential |
VLI | It has very low importance in assessing the contractor’s potential |
LI | It has low importance in assessing the contractor’s potential |
MI | It has medium importance in assessing the contractor’s potential |
I | It is important in assessing the contractor’s potential |
VI | It is very important in assessing the contractor’s potential |
Respondent Details
A | Contracting company’s attributes | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Age (experience) and registration of the contractor’s firm/company | ||||||
2. | Familiarity with regulating authorities | ||||||
3. | Familiarity with local working culture | ||||||
4. | Company’s negotiating skill | ||||||
5. | Company’s trade union record | ||||||
6. | Prior business relationship | ||||||
7. | Company proximity to project | ||||||
8. | Health and safety record of the company | ||||||
9. | Achievement of quality level (e.g., ISO: 9000:14000) | ||||||
10. | Post-business attitude (e.g., claims and counter-claims) | ||||||
11. | Past failures | ||||||
12. | Record of firm’s social responsibility |
B | Experience record | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Experience of working on similar projects | ||||||
2. | Experience with owner’s organization | ||||||
3. | Experience in local area | ||||||
4. | Experience in similar geographical and weather conditions | ||||||
5. | Type and size of projects completed in past 5 years | ||||||
6. | Highest value of project executed in past 5 years |
C | Past performance of the contractor | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Work quality in completed projects (i.e., third party quality certification and incentives awarded) | ||||||
2. | Adherence to time schedule in past works | ||||||
3. | Percentage of past works completed within the agreed contract value | ||||||
4. | Percentage of works sublet in past projects | ||||||
5. | Standard of sub-contractors’ works in past projects | ||||||
6. | Attitude towards incomplete/correcting faulty works | ||||||
7. | Cordial Relationship with past project clients/owners | ||||||
8. | Relationship with sub-contractors | ||||||
9. | Relationship with suppliers | ||||||
10. | Relationship with regulating authorities | ||||||
11. | Blacklisting in past projects | ||||||
12. | Quality of service during defect liability period | ||||||
13. | No. of arbitral awards or court decisions (litigation history) in past 5 years |
D | Financial capability of the contractor | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Current commitments | ||||||
2. | Authorized and paid-up capitals | ||||||
3. | Working capital | ||||||
4. | Current and fixed assets | ||||||
5. | Net worth | ||||||
6. | Turnover | ||||||
7. | Profit generating ability of the company | ||||||
8. | Liquidity status of the company | ||||||
9. | Capital structure of the company (amount of debt and equity) | ||||||
10. | Reference of financial institutions | ||||||
11. | Balance sheet data | ||||||
12. | Credit rating | ||||||
13. | Financial closure (finances-arrangement) for the project |
E | Performance potential of the contractor | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Qualification and experience of management staff | ||||||
2. | Availability of in-house skilled labour | ||||||
3. | Availability of plant and equipment resources | ||||||
4. | Present work load (works on hand) and capability to support the current project | ||||||
5. | Quality control and assurance program | ||||||
6. | Specialized knowledge of particular construction method | ||||||
7. | Availability of in-house design capacity |
F | Project specific criteria | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Construction method statement | ||||||
2. | Specified project time schedule | ||||||
3. | Qualification and experience level of the project manager | ||||||
4. | Qualification & experience of professional and technical staff | ||||||
5. | Experience level of the project team on similar type of project | ||||||
6. | Number of direct workers available for the project. | ||||||
7. | Availability of testing equipment as quality assurance | ||||||
8. | Health and safety setup for the project | ||||||
9. | The Contractor’s cost and time control considerations | ||||||
10. | Reputation of sub-contractors to be used for the project | ||||||
11. | Type of performance bond (through bank or surety company) | ||||||
12. | Payment schedule | ||||||
13. | Risk sharing level of the project owner |
G | Other criteria | IR | VLI | LI | MI | I | VI |
---|---|---|---|---|---|---|---|
1. | Bid or tender price | ||||||
2. | Advance payment | ||||||
3. | Quoted project duration | ||||||
4. | Defect liability period |
Rights and permissions
About this article
Cite this article
Krishna Rao, M.V., Kumar, V.S.S. & Rathish Kumar, P. Optimal Contractor Selection in Construction Industry: The Fuzzy Way. J. Inst. Eng. India Ser. A 99, 67–78 (2018). https://doi.org/10.1007/s40030-018-0271-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40030-018-0271-1