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A three-stage network DEA approach for performance evaluation of BIM application in construction projects.

Authors :
Luo, Lan
Chen, Hao
Yang, Yue
Wu, Guangdong
Chen, Long
Source :
Technology in Society; Nov2022, Vol. 71, pN.PAG-N.PAG, 1p
Publication Year :
2022

Abstract

BIM application in the construction industry is still low in China, mainly due to the lack of effective measures for BIM application evaluation. Therefore, this study takes BIM application as the research object to propose a three-stage network DEA approach for performance evaluation. The BIM application performance evaluation indicators are determined based on the balanced scorecard method and Delphi method, and a three-stage network DEA model is established to optimize the BIM application performance. The three-stage network DEA model established in this study can solve the problem that the traditional DEA model treats the internal structure as a "black box". The model is then applied to the actual case of 9 construction projects, including relaxation value analysis and path optimization, to identify the critical path for the reallocation of resources. This paper studies the performance evaluation of BIM application, which is conducive to the further improvement of the theory of BIM management, and also can effectively improve the performance of construction projects and bring practical benefits to construction enterprises. • BIM application is taken as the research object to propose a three-stage network DEA approach for performance evaluation. • The BIM application performance evaluation indicators are determined based on the Delphi method. • A three-stage network DEA model is established to optimize the BIM application performance. • The established three-stage DEA model is combined with the actual case. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0160791X
Volume :
71
Database :
Supplemental Index
Journal :
Technology in Society
Publication Type :
Academic Journal
Accession number :
159952811
Full Text :
https://doi.org/10.1016/j.techsoc.2022.102105