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Centralized construction contractor selection considering past performance of contractors: a case of India

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Abstract

Analyzing the contractor selection procedures of government departments in various countries and in the Rural Development Department (RDD) in India, this paper bring out several weaknesses of the present contractor selection procedure. It suggests the inclusion of three new selection attributes and the adoption of a centralized contractor evaluation process. The suggested attributes are: time quoted to complete the project, warranty period quoted, and past performance score of the contractor. To obtain the past performance score of a contractor, the paper uses a fuzzy multi-attribute utility scoring technique that allows consideration of qualitative/quantitative and enabling/inhibiting character of the relevant attributes. To solve the resulting multi-attribute–multi-objective decision-making problem, the paper proposes a fuzzy binary goal programming model. When tested with the existing contractor selection procedure for three past projects in RDD, the model yields the same results as those taken by RDD in the past, confirming the credibility of the model. When tested with the suggested procedure, the model yields much superior results.

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References

  • Al-Harbi KM (2001) Application of the AHP in project management. Int J Proj Manage 19(1):19–27

    Article  Google Scholar 

  • Al-Reshaid K, Kartam N (2005) Design-build pre-qualification and tendering approach for public projects. Int J Proj Manage 23(4):309–320

    Article  Google Scholar 

  • Amin A, Ghodsypour SH, O’Brien C (2007) A weighted additive fuzzy multi-objective model for the supplier selection problem under price breaks in a supply Chain. Int J Prod Econ. doi:10.1016/j.ijpe.2007.02.040

  • Arslan G, Tuncan M, Birgonul MT, Dikmen I (2006) E-bidding proposal preparation system for construction projects. Build Environ 41(10):1406–1413

    Article  Google Scholar 

  • Bajari P, Summers G (2002) Detecting collusion in procurement auctions, Stanford University working paper

  • Beil DR, Wein LM (2003) An inverse optimization-based auction mechanism to support a multi-attribute RFQ process. Manage Sci 49(11):1529–1545

    Article  Google Scholar 

  • Central Public Works Department Works Manual (2003) Director General (works), J.M. Jaina and Brothers, Delhi, India

  • Chang C-T (2004) On the mixed binary goal programming problems. Appl Math Comput 159:759–768

    Article  Google Scholar 

  • Chang C-T (2007) Binary fuzzy goal programming. Eur J Oper Res 180(1):29–37

    Article  Google Scholar 

  • Chen L-H, Tsai F-C (2001) Fuzzy goal programming with different importance and priorities. Eur J Oper Res 133(3):548–556

    Article  Google Scholar 

  • Choi TY, Hartley JL (1996) An exploration of supplier selection practices across the supply chain. J Oper Manage 14(4):333–343

    Article  Google Scholar 

  • Chou S-Y, Chang Y-H (2008) A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Exp Syst Appl 34:2241–2253

    Article  Google Scholar 

  • David E, Azoulay-Schwartz R, Kraus S (2006) Bidding in sealed-bid and English multi-attribute auctions. Deci Supp Syst 42(2):527–556

    Article  Google Scholar 

  • Deng H (1999) Multicriteria analysis with fuzzy pairwise comparison. Int J Approx Reason 21:215–231

    Article  Google Scholar 

  • Dobler DW, Burt DN (1996) Purchasing and supply management, 6th edn. McGraw-Hill, New York

    Google Scholar 

  • El-Sawalhi N, Eaton D, Rustom R (2007) Contractor pre-qualification model: State-of-the-art. Int J Proj Manage 25:465–474

    Article  Google Scholar 

  • Erensal YC, Oncan T, Demircan ML (2006) Determining key capabilities in technology management using fuzzy analytic hierarchy process: a case study of Turkey. Inform Sci 176(18):2755–2770

    Article  Google Scholar 

  • Gallien J, Wein LM (2005) Design and analysis of a smart market for industrial procurement. Manage Sci 51(1):76–91

    Article  Google Scholar 

  • Haq AN, Kannan G (2006) Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model. Int J Adv Manuf Technol 29(7–8):826–835

    Google Scholar 

  • Hatush Z, Skitmore M (1998) Contractor selection using multicriteria utility theory: an additive model. Build Environ 33(2–3):105–115

    Article  Google Scholar 

  • Holt GD (1998) Which contractor selection methodology? Int J Proj Manage 16(3):153–164

    Article  Google Scholar 

  • Holt GD, Olomolaiye PO, Harris FC (1994a) Applying multi-attribute analysis to contractor selection decisions. Eur J Purch Supp Manage 1(3):139–148

    Article  Google Scholar 

  • Holt GD, Olomolaiye PO, Harris FC (1994b) Factors influencing UK construction clients’ choice of contractor. Build Environ 29(2):241–248

    Article  Google Scholar 

  • Holt GD, Olomolaiye PO, Harris FC (1995) A review of contractor selection practice in the U.K. construction industry. Build Environ 30(4):553–561

    Article  Google Scholar 

  • Honert RCVD, Lootsma FA (1996) Group preference aggregation in the multiplicative AHP The model of the group decision process and Pareto optimality. Eur J Oper Res 96:363–370

    Article  Google Scholar 

  • Kumaraswamy MM (1996) Contractor evaluation and selection: a Hong Kong perspective. Build Environ 31(3):273–282

    Article  Google Scholar 

  • Lai KK, Liu SL, Wang SY (2004) A method used for evaluating bids in the Chinese construction industry. Int J Proj Manage 22:193–201

    Article  Google Scholar 

  • Lambropoulos S (2007) The use of time and cost utility for construction contract award under European Union Legislation. Build Environ 42(1):452–463

    Article  Google Scholar 

  • Missbauer H, Hauber W (2006) Bid calculation for construction projects: regulations and incentive effects of unit price contracts. Eur J Oper Res 171:1005–1019

    Article  Google Scholar 

  • Özcan U, Toklu B (2009) Multiple-criteria decision-making in two-sided assembly line balancing: a goal programming and a fuzzy goal programming models. Comp Oper Res 36:1955–1965

    Article  Google Scholar 

  • Padhi SS, Mohapatra PKJ (2009) Contractor selection in government procurement auctions: a case study. Eur J Ind Eng 3(2):170–186

    Article  Google Scholar 

  • Patil BS (2006) Civil engineering contracts and estimates. University press, New Delhi

    Google Scholar 

  • Pedrycz W, Gomide F (2005) An introduction to fuzzy sets analysis and design. Prentice-Hall, New Delhi

    Google Scholar 

  • Satty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

    Google Scholar 

  • Shyur H, Shih H (2006) A hybrid MCDM model for strategic vendor selection. Math Comp Model 44:749–761

    Article  Google Scholar 

  • Stein A, Hawking P, Wyld DC (2003) The 20% solution? A case study on the efficiency of reverse auctions. Manage Res News 26(5):1–20

    Google Scholar 

  • Teich JE, Wallenius H, Wallenius J, Koppius OR (2005) Emerging multiple issue e-auctions. Eur J Oper Res 159:1–16

    Article  Google Scholar 

  • Topcu YI (2004) A decision model proposal for construction contractor selection in Turkey. Build Environ 39:469–481

    Article  Google Scholar 

  • Tzeng W, Li JC, Chang T (2006) A study on the effectiveness of the most advantageous tendering method in the public works of Taiwan. Int J Proj Manage 24:431–437

    Article  Google Scholar 

  • Wang X, Triantaphyllou E (2008) Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega 36(1):45–63

    Article  Google Scholar 

  • Wang W, Wang H, Lai Y, Li JC (2006) Unit-price-based model for evaluating competitive bids. Int J Proj Manage 24:156–166

    Article  Google Scholar 

  • Yen KK, Ghoshray S, Roig G (1999) A linear regression model using triangular fuzzy number coefficients. Fuzzy Sets Syst 106:167–177

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the editor and anonymous referees for the comprehensive reviews and constructive comments.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, IIT Kharagpur, Kharagpur, West Bengal, 721 302, India

    Sidhartha S. Padhi & Pratap K. J. Mohapatra

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  1. Sidhartha S. Padhi
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  2. Pratap K. J. Mohapatra
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Correspondence to Sidhartha S. Padhi.

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Padhi, S.S., Mohapatra, P.K.J. Centralized construction contractor selection considering past performance of contractors: a case of India. Oper Res Int J 9, 199–224 (2009). https://doi.org/10.1007/s12351-009-0044-8

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