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Corresponding Author

:陈龙,男,硕士研究生.E-mail:quilchen@foxmail.com

Abstract

Overseas highway projects feature the large scale, wide scope, and long construction period, thus significantly increasing the complexity of project bidding evaluation and making it difficult to make simple bidding decisions. This paper built a set of 28 influencing factors for bidding decisions in three major categories, including the owners and related management parties, construction projects themselves, and bidding enterprises themselves, by conducting literature analysis. The influencing factors were screened for the proposed bidding project, with an evaluation index system constructed. Then, a decision model was built by adopting analytic hierarchy process (AHP) and D-S evidence theory to integrate expert evaluation data. As a result, while determining the overall risk level of the project, this helped further obtain the key influencing factors of the integrated project, with the decision of whether to bid or not made. Additionally, the application decision model was employed to evaluate the 2.2 highway project in the Philippines, and the result show that it is medium risk and eligible for bidding. The top three key influencing factors are the expected profit of the project, the company's ability to claim compensation, and the supply of materials and equipment required for the project. The model can handle different evaluation opinions and provide references for bidding decisions, bid document offer, and risk prevention.

Publication Date

8-18-2022

DOI

10.14048/j.issn.1671-2579.2022.04.049

First Page

267

Last Page

271

Submission Date

May 2025

Reference

[1] 周家义, 王哲. “一带一路” 下中资企业海外基础设施建设可持续发展策略[J]. 宏观经济管理, 2019(11): 63-68, 74. ZHOU Jiayi, WANG Zhe. A study of population mobility in western China in the context of Belt and Road initiative[J]. Macroeconomic Management, 2019(11): 63-68, 74. [2] 王博, 顿新春, 李智勇. 基于BP神经网络的水利工程投标决策模型及应用[J]. 水电能源科学, 2013, 31(3): 131-134.WANG Bo, DUN Xinchun, LI Zhiyong. Water conservancy projects bidding decision model and its appliction based on BP neural network[J]. Water Resources and Power, 2013, 31(3): 131-134. [3] LES ′NIAKAgnieszka,PLEBANKIEWICZEdyta.Modeling the Decision-Making Process Concerning Participation in Construction Bidding[J].Journal of Management in Engineering,2013,31(2): 04014032. [4] 孔令祯, 张云宁, 张雪娇. 战略导向下施工企业投标决策研究[J]. 武汉理工大学学报(信息与管理工程版), 2016, 38(2): 238-243.KONG Lingzhen, ZHANG Yunning, ZHANG Xuejiao. Research on multi-project strategy-oriented bidding decision for construction enterprises[J]. Journal of Wuhan University of Technology (Information & Management Engineering), 2016, 38(2): 238-243. [5] 卢睿, 李学伟, 陈雍君. 基于粒子群算法的铁路工程投标项目择优决策研究[J]. 铁道学报, 2017, 39(1): 19-24.LU Rui, LI Xuewei, CHEN Yongjun. Particle swarm optimization based project selection decision making for railway construction enterprises[J]. Journal of the China Railway Society, 2017, 39(1): 19-24. [6] 郭清娥, 王雪青. 基于交叉评价和模糊理论的工程项目投标决策方法研究[J]. 运筹与管理, 2012, 21(6): 100-104 GUO Qinge, WANG Xueqing, WANG Xueqing. A decision making method for bidding of construction projects based on cross-evaluation and fuzzy theory[J]. Operations Research and Management Science, 2012, 21(6): 100-104. [7] 李娟芳, 何亚伯. 基于粗糙集和相对熵的工程项目投标决策研究[J]. 数学的实践与认识, 2017, 47(21): 60-67.LI Juanfang, HE Yabo. Research on bidding decision of engineering project based on rough set and relative entropy[J]. Mathematics in Practice and Theory, 2017, 47(21): 60-67. [8] KALANDuygu,OZBEK MehmetEgemen.Development of a Construction Project Bidding Decision-Making Tool [J].Practice Periodical on Structural Design and Construction, 2020,25(1):0 4019032. [9] 周英. 中国企业参与国外大型工程投标的多目标决策研究[J]. 中国软科学, 2016(12): 154-162.ZHOU Ying. Study on multi-objective decision making for Chinese enterprises' participation in foreign large scale projects bidding[J]. China Soft Science, 2016(12): 154-162. [10] 胡振宇, 张水波. 国际PPP项目投标决策指标体系研究[J]. 国际经济合作, 2017(10): 72-76.HU Zhenyu, ZHANG Shuibo. Research on bidding decision-making index system of international PPP project[J]. Journal of International Economic Cooperation, 2017(10): 72-76. [12] 朱思雅, 高幸. 基于改进DEMATEL的海外工程项目进度影响因素分析[J]. 中外公路, 2018, 38(5): 310-314.ZHU Siya, GAO Xing. Analysis on the influencing factors of overseas project schedule based on improved DEMATEL[J]. Journal of China & Foreign Highway, 2018, 38(5): 310-314. [13] 陈志鼎, 曹胤杰. 境外水电工程项目投标决策D-S证据模型研究[J]. 人民黄河, 2019, 41(5): 135-137, 142. CHEN Zhiding, CAO Yinjie. Bidding strategic decision of overseas hydropower engineering based on D-S evidence model[J]. Yellow River, 2019, 41(5): 135-137, 142. [14] 徐东强, 李永亮, 王可意. 基于AHP-DEA的公路隧道大变形风险评估[J]. 中外公路, 2018, 38(4): 218-222. XU Dongqiang, LI Yongliang, WANG Keyi. Risk assessment of highway tunnel serious deformation based on DEA-AHP method[J]. Journal of China & Foreign Highway, 2018, 38(4): 218-222. [15] 胡晓伟, 刘响, 孙航航. 基于D-S证据理论的出租车减排策略评价[J]. 交通信息与安全, 2019, 37(1): 113-120.HU Xiaowei, LIU Xiang, SUN Hanghang. Strategies for evaluating taxi emissions reduction based on dempster-shafer evidence theory[J]. Journal of Transport Information and Safety, 2019, 37(1): 113-120. [16] GLENNShafer.A Mathematical Theory of Evidence [M].New Jersey:Princet on University Press,1976.

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