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Research Article

DEA-based multi-criteria selection model and framework for design-build contracting

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Pages 25-36 | Received 21 Oct 2020, Accepted 14 Sep 2021, Published online: 04 Oct 2021

References

  • Abouhawwash, M. (2021). Hybrid evolutionary multi-objective optimization algorithm for helping multi-criterion decision makers. International Journal of Management Science and Engineering Management, 16(2), 94–106.
  • Abudayyeh, O., Zidan, S. J., Yehia, S., & Randolph, D. (2007). Hybrid prequalification-based, innovative contracting model using AHP. Journal of Management in Engineering, 23(2), 88–96.
  • Adamtey, S. A. (2018). Development of quality index for design-build transportation projects. International Journal of Management Science and Engineering Management, 14(2), 147–154.
  • Adhami, A. Y., & Ahmad, F. (2020). Interactive Pythagorean-hesitant fuzzy computational algorithm for multiobjective transportation problem under uncertainty. International Journal of Management Science and Engineering Management, 15(4), 288–297.
  • Ahmad, F., & Adhami, A. Y. (2018). Neutrosophic programming approach to multi objective nonlinear transportation problem with fuzzy parameters. International Journal of Management Science and Engineering Management, 14(3), 218–229.
  • Alameri, R., & Esmaeili, B. (2021). Progressive design-build delivery method: Assessment of project performance. International Journal of Construction Education and Research, 1–20. doi:https://doi.org/10.1080/15578771.2021.1950242
  • Alleman, D., & Tran, D. (2020). Challenges of implementing progressive design-build in highway construction projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 12(1), 4519036.
  • Al-Reshaid, K., & Kartam, N. (2005). Design–build pre-qualification and tendering approach for public projects. International Journal of Project Management, 23(4), 309–320.
  • Banki, M. T., Esmaeeli, B., & Ravanshadnia, M. (2009). The assessment of bidding strategy of Iranian construction firm. International Journal of Management Science and Engineering Management, 4(2), 153–160.
  • Brauers, W. K. M., Zavadskas, E. K., Turskis, Z., & Vilutienė, T. (2008). Multi‐objective contractor’s ranking by applying the Moora method. Journal of Business Economics and Management, 9(4), 245–255.
  • Charnes, A., & Cooper, W. (1990). Data envelopment analysis, measuring the efficiency of decision-making units. In H. Bradley (Ed.), Operational research ’90 (pp. 641–646). Oxford: Pergamon Press.
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
  • Chen, Q., Jin, Z., Xia, B., Wu, P., & Skitmore, M. (2016). Time and cost performance of design–build projects. Journal of Construction Engineering and Management, 142(2), 4015074.
  • Cooper, W., Seiford, L., & Tone, K. (2006). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Norwell, MA: Kluwer Academic.
  • Design-build Institute of America (DBIA). (2020). What is design-build. Retrieved January 2, 2020, from https://dbia.org/what-is-design-build
  • Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2015). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278.
  • El Wardani, M. A., Messner, J. I., & Horman, M. J. (2006). Comparing procurement methods for design-build projects. Journal of Construction Engineering and Management, 132(3), 230–238.
  • El-Mashaleh, M. S., & Horta, I. M. (2016). Evaluating contractors for bonding: DEA decision making model for surety underwriters. Journal of Management in Engineering, 32(1), 04015020.
  • El-Mashaleh, M. S., & Minchin, R. E. (2014). Concessionaire selection model based on data envelopment analysis. Journal of Management in Engineering, 30(4), 4014013.
  • Esfandiari, M., Hafezalkotob, A., Khalili-Damghani, K., & Amirkhan, M. (2016). Robust two-stage DEA models under discrete uncertain data. International Journal of Management Science and Engineering Management, 12(3), 216–224.
  • Faramarzi, G. R., Tavassoli, M., & Farzipoor Saen, R. (2014). Network DEA: A new approach for determining component weights. International Journal of Management Science and Engineering Management, 9(3), 178–184.
  • Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120(3), 253.
  • Franz, B., Molenaar, K. R., & Roberts, B. A. M. (2020). Revisiting project delivery system performance from 1998 to 2018. Journal of Construction Engineering and Management, 146(9), 4020100.
  •  
  • Goel, A. (2016). Understanding pre-qualification preferences of public clients in traditional and design-build procurement systems. International Journal of Procurement Management, 9(6), 684.
  • Gransberg, D. D., & Senadheera, S. P. (1999). Design-build contract award methods for transportation projects. Journal of Transportation Engineering, 125(6), 565–567.
  • Haldar, A., Ray, A., Banerjee, D., & Ghosh, S. (2012). A hybrid MCDM model for resilient supplier selection. International Journal of Management Science and Engineering Management, 7(4), 284–292.
  • Haseli, G., Sheikh, R., & Sana, S. S. (2019). Base-criterion on multi-criteria decision-making method and its applications. International Journal of Management Science and Engineering Management, 15(2), 79–88.
  • Hughes, A., & Yaisawarng, S. (2004). Sensitivity and dimensionality tests of DEA efficiency scores. European Journal of Operational Research, 154(2), 410–422.
  • Jahangoshai Rezaee, M., & Shokry, M. (2016). Game theory versus multi-objective model for evaluating multi-level structure by using data envelopment analysis. International Journal of Management Science and Engineering Management, 12(4), 245–255.
  • Kabir, G., Sumi, R. S., Sadiq, R., & Tesfamariam, S. (2017). Performance evaluation of employees using Bayesian belief network model. International Journal of Management Science and Engineering Management, 13(2), 91–99.
  • Kamel, G., Aly, M. F., Mohib, A., & Afefy, I. H. (2020). Optimization of a multilevel integrated preventive maintenance scheduling mathematical model using genetic algorithm. International Journal of Management Science and Engineering Management, 15(4), 247–257.
  • Kordrostami, S., & Noveiri, M. J. S. (2014). Evaluating the performance and classifying the interval data in data envelopment analysis. International Journal of Management Science and Engineering Management, 9(4), 243–248.
  • Lesniak, A., Plebankiewicz, E., & Zima, K. (2012). Design and build procurement system – Contractor selection. Archives of Civil Engineering, 58(4), 463–476.
  • Mohanty, M. K., & Gahan, P. (2011). Supplier evaluation & selection attributes in discrete manufacturing industry – Empirical study on Indian manufacturing industry. International Journal of Management Science and Engineering Management, 6(6), 431–441.
  • Norton, J. W., & Weber, W. J. (2009). Water utility efficiency assessment using a data envelopment analysis procedure. Journal of Infrastructure Systems, 15(2), 80–87.
  • Noshad, K., & Awasthi, A. (2018). Investigating critical criteria for supplier quality development. International Journal of Management Science and Engineering Management, 13(3), 215–224.
  • Nourmohamadi Shalke, P., Paydar, M. M., & Hajiaghaei-Keshteli, M. (2017). Sustainable supplier selection and order allocation through quantity discounts. International Journal of Management Science and Engineering Management, 13(1), 20–32.
  • Palaneeswaran, E., & Kumaraswamy, M. M. (2000). Contractor selection for design/build projects. Journal of Construction Engineering and Management, 126(5), 331–339.
  • Pramanik, D., Mondal, S. C., & Haldar, A. (2019). A framework for managing uncertainty in information system project selection: An intelligent fuzzy approach. International Journal of Management Science and Engineering Management, 15(1), 70–78.
  • Ravanshadnia, M., Abbasian, H. R., & Rajaie, H. (2010). Selecting engineering partner for EPC projects using a fuzzy AHP approach. International Journal of Management Science and Engineering Management, 5(4), 278–284.
  • Sanni-Anibire, M. O., Zin, R. M., & Olatunji, S. O. (2021). Developing a preliminary cost estimation model for tall buildings based on machine learning. International Journal of Management Science and Engineering Management, 16(2), 134–142.
  • Sharaf, I. M., & Khalil, E. A.-H. A. (2021). A spherical fuzzy TODIM approach for green occupational health and safety equipment supplier selection. International Journal of Management Science and Engineering Management, 16(1), 1–13.
  • Sowlati, T., & Paradi, J. C. (2004). Establishing the “practical frontier” in data envelopment analysis. Omega, 32(4), 261–272.
  • Wu, D. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36(5), 9105–9112.
  • Xia, B., Chan, A., Zuo, J., & Molenaar, K. (2013). Analysis of selection criteria for design-builders through the analysis of requests for proposal. Journal of Management in Engineering, 29(1), 19–24.
  • Xia, B., Skitmore, M., & Zuo, J. (2012). Evaluation of design-builder qualifications through the analysis of requests for qualifications. Journal of Management in Engineering, 28(3), 348–351.

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