Predicting Percent Plan Complete through Time Series Analysis-Reference-Cited by-同舟云学术

Predicting Percent Plan Complete through Time Series Analysis

Published:2023-06 Issue:6 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Nguyen Thi Qui¹^ORCID,Yeoh Justin Ker-Wei²^ORCID,Angelia Natasha³

Affiliation:

1. Research Fellow, Dept. of Civil and Environmental Engineering, College of Design and Engineering, National Univ. of Singapore, E1-08-19, Engineering Dr. 2, Singapore 117576 (corresponding author). ORCID: .

2. Senior Lecturer, Dept. of Civil and Environmental Engineering, College of Design and Engineering, National Univ. of Singapore, E1A-07-01, Engineering Dr. 2, Singapore 117576. ORCID: .

3. Master’s Student, Dept. of Civil and Environmental Engineering, College of Design and Engineering, National Univ. of Singapore, E1A-07-01, Engineering Dr. 2, Singapore 117576.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-12867

Reference45 articles.

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5. Baek M. B. Ashuri and S. Veeravenkatappa. 2022. “Developing a multivariate time-series model to forecast the level of competition in transportation projects.” In Proc. Construction Research Congress 2022: Project Management and Delivery Controls and Design and Materials—Selected Papers from Construction Research Congress 2022 283–291. Reston VA: ASCE. https://doi.org/10.1061/9780784483978.030.