Chapter
Dec 9, 2021

Research on Supplier Partnership Management of Construction Enterprises under COVID-19

Publication: ICCREM 2021

ABSTRACT

The outbreak of COVID-19 has brought great challenges to all walks of life. The main research content of this article is to discuss how to select suppliers, establish partnerships with suppliers, and how to maintain supplier relationships in the new environment. First, through combing the relevant domestic and foreign literature, combining field visits and expert opinions to construct a supplier selection index system, and proposing a data acquisition model based on the construction big data platform, and then using the expert scoring method to determine the weight of each index, combined with 20. The index data of each supplier is obtained and the total evaluation score of each supplier is obtained. As the sample data for BP neural network model training, a supplier selection model is constructed using the BP neural network algorithm. The training results show that the model can be applied to the supplier’s evaluation and selection. Second, by constructing a profit distribution model, the profit distribution between construction companies and suppliers in the traditional environmental cooperation mode and the new environmental cooperation mode is discussed, which can help construction companies and suppliers to form a dynamic and stable cooperative relationship, which is beneficial to enhance the competitiveness of the alliance as a whole and each enterprise. Finally, the maintenance strategy of construction companies’ supplier relations under the new crown epidemic is mainly given from four aspects: instant feedback, information sharing, risk prevention, and supplier supervision.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Chen, W. W. (2013). “Selection of strategic partnership-type building material supplier based on ANP and TOPSIS.” Journal of Civil Engineering and Management, 30(2), 90–94. (in Chinese).
Chi, S., Suk, S. J., and Kang, Y. (2012). “Development of a data mining-based analysis framework for multi-attribute construction project information.” Advanced Engineering Informatics, 26, 574–581.
Deutsch, R., and Leed, A. P. (2015). “Leveraging data across the building lifecycle.” Procedia Engineering, 118, 260–267.
Ding, S. Z. (2014). “Thinking of engineering management in the era of big data.” China Construction Metal Structure, 10, 26–28. (in Chinese).
Han, G., Chen, W., and Feng, Z. (2012). “Study on the method for selecting cooperative innovation partner in the enterprises.” Journal of Convergence Information Technology, 7(21), 171–180.
Irizarry, J., Karan, E. P., and Jalaei, F. (2013). “Integrating BIM and GIS to improve the visual monitoring of construction supply chain management.” Automation in Construction, 31, 241–254.
Mathew, P. A., Dunn, L. N., and Sohn, M. D. (2015). “Big-data for building energy performance: lessons from assembling a very large national database of building energy use.” Applied Energy, 140, 85–93.
Nikghadam, S., Sadigh, B. L., and Ozbayoglu, A. M. (2016). “A survey of partner selection methodologies for virtual enterprises and development of a goal programming-based approach.” The International Journal of Advanced Manufacturing Technology, 85(5), 1713–1734.
Ou, C. Z., and Jia, K. (2020). “Where is globalization going in an epidemic: based on the consideration of China’s supply chain configuration.” Seeking Truth, 47(04), 11–21. (in Chinese).
Schall, D. A. (2014). “Multi-criteria ranking framework for partner selection in scientific collaboration environments.” Decision Support Systems, 59(1), 1–14.
Wang, G. T. (2018). “Research on optimization of project cost management in big data environment.” Economy Forum, 1, 111–114. (in Chinese).
Wang, T. K., Zhang, Q., and Chong, H. Y. (2017). “Integrated supplier selection framework in a resilient construction supply chain: an approach via analytic hierarchy process (AHP) and grey relational analysis (GRA).” Sustainability, 9(2), 1–26.
Zhang, J. W., Jiang, X. S., and Zhou, H. Y. (2016). “Research on the selection of strategic emerging industry technology innovation partners: an empirical analysis based on PLS-SEM model.” Macroeconomic Research, 5, 79–86. (in Chinese).
Zhang, W. Y., Li, X. L., and Hua, L. L. (2010). “Application of BRF neural network in knowledge-based supply chain partner selection.” Technological progress and countermeasures, 27(20), 129–133. (in Chinese).
Zhou, Q.H., Wang, Q., and Chen, L. (2017). “Research on green supplier selection based on intuitionistic fuzzy sets and TOPSIS.” Journal of System Science, 25(1), 94–98. (in Chinese).

Information & Authors

Information

Published In

Go to ICCREM 2021
ICCREM 2021
Pages: 85 - 92

History

Published online: Dec 9, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Wangwang Zuo [email protected]
1Postgraduate, Dept. of Construction and Real Estate, Harbin Institute of Technology, Harbin, China. Email: [email protected]
2Associate Professor, Dept. of Construction and Real Estate, Harbin Institute of Technology, Harbin, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$224.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$224.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share