Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects
Joint Authors
Wang, Xiangyu
Liang, Ru
Sheng, Zhaohan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The magnitude of business dynamics has increased rapidly due to increased complexity, uncertainty, and risk of large-scale infrastructure projects.
This fact made it increasingly tough to “go alone” into a contractor.
As a consequence, joint venture contractors with diverse strengths and weaknesses cooperatively bid for bidding.
Understanding project complexity and making decision on the optimal joint venture contractor is challenging.
This paper is to study how to select joint venture contractors for undertaking large-scale infrastructure projects based on a multiattribute mathematical model.
Two different methods are developed to solve the problem.
One is based on ideal points and the other one is based on balanced ideal advantages.
Both of the two methods consider individual difference in expert judgment and contractor attributes.
A case study of Hong Kong-Zhuhai-Macao-Bridge (HZMB) project in China is used to demonstrate how to apply these two methods and their advantages.
American Psychological Association (APA)
Liang, Ru& Sheng, Zhaohan& Wang, Xiangyu. 2018. Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1136336
Modern Language Association (MLA)
Liang, Ru…[et al.]. Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1136336
American Medical Association (AMA)
Liang, Ru& Sheng, Zhaohan& Wang, Xiangyu. Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1136336
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136336