Bid evaluation decision for major project based on analytic hierarchy process and data envelopment analysis cross-efficiency model

Abstract

As is known that there are some drawbacks bid evaluation decision for some major projects, which would easily induce some problems, such as fault decision, low efficiency, poor benefit, etc., or even some social corruptions, which would seriously affect the cooperation and sustainable development of society, economy and environment. Therefore, considering these drawbacks, in this paper, a new model based on analytic hierarchy process and data envelopment analysis (AHP/DEA) cross-efficiency is proposed for bid evaluation decision problems of major project. To deal with the complexity of bid evaluation decision for major project, a set of indices with multiple inputs and outputs is firstly proposed. Then, the DEA cross efficiency is adopted to develop a pairwise comparison matrix, after that, the AHP is applied for bid evaluation decision for major project using the pairwise comparison matrix. Finally, case studies are presented to demonstrate the reasonability and feasibility of the proposed evaluation decision model, it follows from these results that, the proposed new bid evaluation decision model can shed some new light on contractor selection for major projects.

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References

  1. Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 12(6):429–444

    MathSciNet  Article  Google Scholar 

  2. Chen M (2017) Quality influencing factors and project quality control in municipal engineering construction. East China Sci Technol 4:394–407

    Google Scholar 

  3. Cook WD, Seiford LM (2009) Data envelopment analysis (DEA)-thirty years. Eur J Oper Res 192(1):1–17

    MathSciNet  Article  Google Scholar 

  4. Du T et al (2017) Organization multi-attribute decision making based on efficiency and its empirical research: DEA-TOPSIS combination method. Chin Manag Sci 7:153–162

    Google Scholar 

  5. Fu J (2015) Research and application of DEA model based on AHP. Metall Autom:530–531

  6. Guo J, Liu J, Qiu L (2006) Research on supply chain performance evaluation based on DEA/AHP model. In: IEEE Asia-Pacific conference on services computing, pp 609–612

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

    Article  Google Scholar 

  8. He M et al (2000) Application research of DEA in engineering bidding. J Shandong Univ Sci Technol 19(1):115–119

    Google Scholar 

  9. Hiyassat AS (2001) Construction bid price evaluation. Can J Civ Eng 8(2):264–270

    Article  Google Scholar 

  10. Li C (2014) The study on the evaluation model of DEA cross-efficiency and fuzzy comprehensive assessment in decision making for bidding of construction projects. Adv Mater Res 4:986–993

    Article  Google Scholar 

  11. Li C, Su H, Tong Y, Sun Y (2015) DEA cross-efficiency evaluation model by the solution strategy refering to the ideal DMU. Chin J Manag Sci 23(2):117–120

    Google Scholar 

  12. Lin Y, Wang Y, Chen L (2018) DEA evaluation method based on cross ranking of decision making unit. J Zhejiang Univ 45(2):162–168

    MathSciNet  MATH  Google Scholar 

  13. Liu E, Wang J, Luo G (2003) Project bidding decision-making method based on fuzzy logic. J Civ Eng 36(3):57–63

    Google Scholar 

  14. Liu C, Hsu H, Wang S, Lee H (2005) A performance evaluation model based on AHP and DEA. J Chin Inst Ind Eng 22(3):243–244

    Google Scholar 

  15. Liu M et al (2013) Research on bidding decision of engineering project based on DEA model. Proj Manag Tech 12(1):63–66

    Google Scholar 

  16. Peng K, Qiang M (2004) Research on the application of fuzzy analytic hierarchy process in risk assessment and bidding decision of Duber Khwar project. J Hydroelectr 23(3):44–50

    Google Scholar 

  17. Sexton TR, Silkman RH, Hogan AJ (1986) Data envelopment analysis: critique and extensions. Jossey-Bass, San Francisco

    Google Scholar 

  18. Turkis Z (2008) Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of prefer ability technique. Technol Econ Dev Econ 14(2):224–239

    Article  Google Scholar 

  19. Wang L, Xing W (2006) Research on supplier selection based on fuzzy analytic hierarchy process. Mall Mod 16:111–112

    Google Scholar 

  20. Wu L et al (2004) A new method of government procurement evaluation-comprehensive weighted average price difference method. J Shenyang Univ Technol 26(5):173–180

    Google Scholar 

  21. Yang F (2011) DEA cross Efficiency evaluation method for competitive and cooperative decision making units. Syst Eng Theory Pract 33(1):92–95

    Google Scholar 

  22. Yang X, Liu C (2010) It is urgent to strengthen social stability risk assessment of major projects. Curr Obs 10:32–36

    Google Scholar 

  23. Yuan J (2000) Research on the model and method of construction bidding. China Highw J 13(1):27–30

    Google Scholar 

  24. Zhang Y, Wang X (2014) Research on tender evaluation method for engineering projects based on two -stage model of DEA/AHP. Math Pract Theory 44(18):53–54

    Google Scholar 

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Correspondence to Yong Wu.

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Zhao, L., Liu, W. & Wu, Y. Bid evaluation decision for major project based on analytic hierarchy process and data envelopment analysis cross-efficiency model. J Ambient Intell Human Comput 11, 3639–3647 (2020). https://doi.org/10.1007/s12652-019-01564-z

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Keywords

  • Bid evaluation decision
  • Major project
  • AHP/DEA model
  • Evaluation index
  • Cross-efficiency