A new hierarchical evaluation approach for risk response strategy selection in BOT projects under uncertainty | ||
| Journal of Quality Engineering and Production Optimization | ||
| دوره 6، شماره 2، اسفند 2021، صفحه 143-156 اصل مقاله (646.6 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2021.14852.1199 | ||
| نویسندگان | ||
| Mohsen Nezami1؛ Mohammad Reza Adlparvar* 2؛ Mahtiam Shahbazi3 | ||
| 1Department of Civil Engineering, Qeshm Branch, Islamic Azad University, Qeshm, Iran | ||
| 2Associate professor, Technical and Engineering Faculty, University of Qom, Qom, Iran | ||
| 3Assistant professor, Department of Architecture, Science and research Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| One of the topics in the world today is related to the production and development of infrastructure projects under the supervision and control of governments, in which the government has no operational role and acts as an observer. This type of production is called BOT, which brings both the risk and the project's profit to the private sector company. In such projects, before concluding a contract, the government gives a concession to a private company for a certain period to deliver the completed project, and on the other hand, it assigns the risks in the project to the investing company in full. In this research, the risks in BOT projects are investigated and using a proposed approach under the conditions of intuitive fuzzy uncertainty and multi-period systems, the weights of these indicators are calculated, and the strategies in this research are ranked. Finally, a case study is presented to construct a highway project, and the efficiency of the proposed method compared to a traditional method is measured. Meanwhile, the performance of the proposed approach is analyzed by eliminating contributions such as the last aggregation concept, criteria weights determination, experts’ weights computations. Moreover, a sensitivity analysis is provided to represent the robustness and sensitiveness of the main parameters. | ||
| کلیدواژهها | ||
| BOT project؛ Intuitionistic fuzzy set؛ Risk management؛ Ranking strategies؛ Hierarchical structure | ||
| مراجع | ||
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Akram, M., Ilyas, F., & Garg, H. (2020). Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information. Soft Computing, 24(5), 3425-3453.
Bagui, S. K. (2011). Risk analysis for a BOT project. Jordan journal of Civil engineering, 159(2985), 1-13.
Borujeni, M. P., & Gitinavard, H. (2017). Evaluating the sustainable mining contractor selection problems: An imprecise last aggregation preference selection index method. Journal of Sustainable Mining, 16(4), 207-218.
Chen, Z., Ye, H., Liu, B., & Xue, W. (2021). Analysis of road capacity and franchise price decision delegation in toll road BOT project. Transportation Research Part E: Logistics and Transportation Review, 146, 102213.
Chiara, N., & Garvin, M. J. (2008). Variance models for project financial risk analysis with applications to greenfield BOT highway projects. Construction management and economics, 26(9), 925-939.
Ebrahimnezhad, S., Gitinavard, H., & Sohrabvandi, S. (2017). A new extended analytical hierarchy process technique with incomplete interval-valued information for risk assessment in IT outsourcing. International Journal of Engineering, 30(5), 739-748.
Ebrahimnejad, S., Naeini, M. A., Gitinavard, H., & Mousavi, S. M. (2017). Selection of IT outsourcing services’ activities considering services cost and risks by designing an interval-valued hesitant fuzzy-decision approach. Journal of Intelligent & Fuzzy Systems, 32(6), 4081-4093.
Fahad Al-Azemi, K., Bhamra, R., & Salman, A. F. (2014). Risk management framework for build, operate and transfer (BOT) projects in Kuwait. Journal of civil engineering and management, 20(3), 415-433.
Hamzeh, A. M., Mousavi, S. M., & Gitinavard, H. (2020). Imprecise earned duration model for time evaluation of construction projects with risk considerations. Automation in Construction, 111, 102993.
Gitinavard, H., Mousavi, S. M., Vahdani, B., & Siadat, A. (2020). Project safety evaluation by a new soft computing approach-based last aggregation hesitant fuzzy complex proportional assessment in construction industry. Scientia Iranica, 27(2), 983-1000.
Gitinavard, H., & Mousavi, S. M. (2015). Evaluating construction projects by a new group decision-making model based on intuitionistic fuzzy logic concepts. International Journal of Engineering, 28(9), 1312-1319.
Gitinavard, H. (2019). Strategic Evaluation of Sustainable Projects based on Hybrid Group Decision Analysis with Incomplete Information. Journal of Quality Engineering and Production Optimization, 4(2), 17-30.
Gitinavard, H., & Zarandi, M. H. F. (2016). A mixed expert evaluation system and dynamic interval-valued hesitant fuzzy selection approach. International Journal of Mathematical and Computational Sciences, 10(7), 341-349.
Gitinavard, H., Makui, A., & Jabbarzadeh, A. (2016). Interval-valued hesitant fuzzy method based on group decision analysis for estimating weights of decision makers. Journal of Industrial and Systems Engineering, 9(3), 96-110.
Mousavi, S. M., & Gitinavard, H. (2019). An extended multi-attribute group decision approach for selection of outsourcing services activities for information technology under risks. International Journal of Applied Decision Sciences, 12(3), 227-241.
Mousavi, S. M., Gitinavard, H., & Siadat, A. (2014, December). A new hesitant fuzzy analytical hierarchy process method for decision-making problems under uncertainty. In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 622-626). IEEE.
Muriana, C., & Vizzini, G. (2017). Project risk management: A deterministic quantitative technique for assessment and mitigation. International Journal of Project Management, 35(3), 320-340.
Okudan, O., Budayan, C., & Dikmen, I. (2021). A knowledge-based risk management tool for construction projects using case-based reasoning. Expert Systems with Applications, 173, 114776.
Solgi, E., Husseini, S. M. M., Ahmadi, A., & Gitinavard, H. (2019). A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study. Journal of environmental management, 248, 109219.
Vahdani, B. (2016). Solving robot selection problem by a new interval-valued hesitant fuzzy multi-attributes group decision method. International Journal of Industrial Mathematics, 8(3), 231-240.
Zhao, Z. Y., Zuo, J., & Zillante, G. (2013). Factors influencing the success of BOT power plant projects in China: A review. Renewable and Sustainable Energy Reviews, 22, 446-453. | ||
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