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An Uncertain Multiple Attribute Decision Making Model for Choosing Project Delivery Methods of Power Transmission Project

DOI: 10.4236/oalib.1109711, PP. 1-15

Subject Areas: Electric Engineering, Civil Engineering

Keywords: Project Delivery Methods, Power Transmission Projects, Uncertain Multiple Attribute Decision Making

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Abstract

The investments of power transmission projects are steadily increasing in recent 20 years. However, it is rare to investigate the suitability of the project delivery methods for power transmission projects. In fact, it is not an easy task to select an appropriate project delivery method as a large amount of ambiguous and uncertain information exists. This paper thus aims to develop an uncertain multiple attribute decision making (MCDM) model to help owners of power transmission projects to choose a suitable project delivery method. Based on review of previous studies, several decision-making attributes were identified including capacity of owners, preference of owners, capacity of contractors, project characteristics and market factors. Decision-making rules were determined by using uncertain decision making operators. The weighting of different attributes was examined by analytic hierarchy process (AHP). The evaluation values of different alternatives were calculated by the uncertain MCDM model. The real case study was conducted to verify the feasibility of the proposed model. The practical application of the proposed uncertain MCDM model is expected to benefit the owner’s decision making in the selection of the project delivery methods of power transmission projects.

Cite this paper

Fang, T. , Liu, S. , Yin, M. , Shen, S. and Shen, L. (2023). An Uncertain Multiple Attribute Decision Making Model for Choosing Project Delivery Methods of Power Transmission Project. Open Access Library Journal, 10, e9711. doi: http://dx.doi.org/10.4236/oalib.1109711.

References

[1]  State Grid Corporation of China (2022) Power Grid of Investment. http://www.sgcc.com.cn/html/sgcc/col2022121208/column_2022121208_1.shtml
[2]  State Council (2021) Outline of the Fourteenth Five-Year Plan for National Economic and Social Development of the People’s Republic of China and the Vision for 2035. http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm
[3]  National Development and Reform Commission (2020) Three-Year Action Plan for Reform of State-Owned Enterprises. http://gzw.panjin.gov.cn/2021_01/25_12/content-307105.html
[4]  Molenaar, K.R., Sobin, N. and Antillon, E.I. (2010) A Synthesis of Best Value Procurement Practices for Sustainable Design-Build Projects in the Public Sector. Journal of Green Building, 5, 148-157. https://doi.org/10.3992/jgb.5.4.148
[5]  American Society of Civil Engineers (2000) Quality in the Constructed Project: A Guide for Owners, Designers and Constructors. 2nd edition, American Society of Civil Engineers, Reston.
[6]  Al Khalil, M.I. (2002) Selecting the Appropriate Project Delivery Method Using AHP. International Journal of Project Management, 20, 469-474. https://doi.org/10.1016/S0263-7863(01)00032-1
[7]  Kumaraswamy, M.M. and Dissanayaka, S.M. (2001) Developing a Decision Support System for Building Project Procurement. Building and Environment, 36, 337-349. https://doi.org/10.1016/S0360-1323(00)00011-1
[8]  Hong, H.K., Kim, J.S., Kim, T. and Leem, B.H. (2008) The Effect of Knowledge on System Integration Project Performance. Industrial Management & Data Systems, 108, 385-404. https://doi.org/10.1108/02635570810858787
[9]  Ojiako, U., Johansen, E. and Greenwood, D. (2008) A Qualitative Re-Construction of Project Measurement Criteria. Industrial Management & Data Systems, 108, 405-417. https://doi.org/10.1108/02635570810858796
[10]  Oyetunji, A.A. and Anderson, S.D. (2006) Relative Effectiveness of Project Delivery and Contract Strategies. Journal of Construction Engineering and Management, 132, 3-13. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:1(3)
[11]  Chen, Y.Q., Lu, W.X. and Zhang, S.B. (2005) Developing an Integrated Management System of Engineering Projects. China Civil Engineering Journal, 38, 111-115.
[12]  Dorsey, R. (1997) Project Delivery Systems for Building Construction. Associated General Contractors of America Publishing, Arlington.
[13]  Zhao, Z.Z., Meng, Q.C. and Pang, N.S. (2020) Research on Construction Risk Evaluation of EPC Project of Transmission and Distribution Engineering Based on Design Enterprise. 2020 International Conference on Energy, Environment and Bioengineering, Xi’an, 7-9 August 2020, Vol. 185, 01011.
[14]  Wu, X., Wan, B. and Lu, Y. (2006) Study on Electromagnetic Environment for 1000 kV AC Transmission Line. High Voltage Engineering, 32, 55-58.
[15]  Chen, Q., Jin, Z., Xia, B., Wu, P. and Skitmore, M. (2016) Time and Cost Performance of Design-Build Projects. Journal of Construction Engineering and Management, 142, Article ID: 04015074. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001056
[16]  Chen, Q., Xia, B., Jin, Z., Wu, P. and Hu Y. (2016) Choosing Appropriate Contract Methods for Design-Build Projects. Journal of Management in Engineering, 32, Article ID: 04015029. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000393
[17]  Qiang, M., Wen, Q., Jiang, H. and Yuan S. (2015) Factors Governing Construction Project Delivery Selection: A Content Analysis. International Journal of Project Management, 33, 1780-1794. https://doi.org/10.1016/j.ijproman.2015.07.001
[18]  Chan, A.P.C., Scott, D. and Chan, A.P.L. (2004) Factors Affecting the Success of a Construction Project. Journal of Construction Engineering and Management, 130, 153-155. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(153)
[19]  Yang, B., Qiang, M. and Lin, Z. (2010) Study on Classification of Owner-Consultant Structure for Engineering Projects. Journal of Hydroelectric Engineering, 29, 19-23.
[20]  Lu, P., Guo, S., Qian, L., He, P. and Xu, X. (2015) The Effectiveness of Contractual and Relational Governances in Construction Projects in China. International Journal of Project Management, 33, 212-222. https://doi.org/10.1016/j.ijproman.2014.03.004
[21]  Chen, P., Qiang, M. and Wang, J.N. (2009) Project Management in the Chinese Construction Industry: Six-Case Study. Journal of Construction Engineering and Management, 135, 1016-1026. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000067
[22]  Azhar, N., Kang, Y. and Ahmad, I.U. (2014) Factors Influencing Integrated Project Delivery in Publicly Owned Construction Projects: An Information Modelling Perspective. Procedia Engineering, 77, 213-221. https://doi.org/10.1016/j.proeng.2014.07.019
[23]  Baccarini, D. (1996) The Concept of Project Complexity—A Review. International Journal of Project Management, 14, 201-204. https://doi.org/10.1016/0263-7863(95)00093-3
[24]  Chen, Y.Q., Liu, J.Y., Li, B. and Lin, B. (2011) Project Delivery System Selection of Construction Projects in China. Expert Systems with Applications, 38, 5456-5462. https://doi.org/10.1016/j.eswa.2010.10.008
[25]  Saaty, T.L. (1990) How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48, 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
[26]  Naziris, I.A., Lagaros, N.D. and Papaioannou, K. (2016) Optimized Fire Protection of Cultural Heritage Structures Based on the Analytic Hierarchy Process. Journal of Building Engineering, 8, 292-304. https://doi.org/10.1016/j.jobe.2016.08.007
[27]  Higgins, M. and Benaroya, H. (2020) Utilizing the Analytical Hierarchy Process to Determine the Optimal Lunar Habitat Configuration. Acta Astronautica, 173, 145-154. https://doi.org/10.1016/j.actaastro.2020.04.012
[28]  Wang, H., Xu, C., Di, R. and Xu, Z. (2022) Analytic Hierarchical Process with Stochastic Uncertainty: A Case Study of Governmental Audits in China. Information Sciences, 608, 1072-1092. https://doi.org/10.1016/j.ins.2022.07.020
[29]  Liu, P., Diao, H., Zou, L. and Deng, A. (2020) Uncertain Multi-Attribute Group Decision Making Based on Linguistic-Valued Intuitionistic Fuzzy Preference Relations. Information Science, 508, 293-308. https://doi.org/10.1016/j.ins.2019.08.076

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