Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 05003 | |
Number of page(s) | 10 | |
Section | Economic and Social Effects | |
DOI | https://doi.org/10.1051/e3sconf/202340905003 | |
Published online | 01 August 2023 |
Study on the Matching of Construction Subcontractor Based on Cooperative Game
Business School of Sichuan University, Chengdu, 610065, People’s Republic of China
* e-mail: 415206332@qq.com
China’s construction industry is the pillar industry of the national economy, but the market competition faced by construction enterprises is becoming increasingly fierce. The general contractor must carry out close business cooperation with other subcontractors and integrate the valuable resources of all parties to cope with the competition jointly. Based on this, this paper constructs the evolutionary game model between the general contractor and the subcontractor. The equilibrium point is calculated by copying the dynamic equation, and the influence of parameters on the evolution probability of both sides is explored. Finally, combined with the numerical simulation, some suggestions on the matching of construction subcontractor suppliers are put forward: improve the cognitive level of the supply chain and reduce the contract cost of the enterprise; adopt an efficient and transparent supervision mechanism to reduce the risk of cooperation; improve the information transmission network of the supply chain and reduce the cost of failure; clear project claims and reward and punishment measures to enhance the enthusiasm of enterprises.
Key words: General contractor / Subcontractor / Evolutionary game / Supply chains
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.