Bayesian Monte Carlo Simulation–Driven Approach for Construction Schedule Risk Inference-Reference-Cited by-同舟云学术

Bayesian Monte Carlo Simulation–Driven Approach for Construction Schedule Risk Inference

Published:2021-03 Issue:2 Volume:37 Page:04020115
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Chen Long¹^ORCID,Lu Qiuchen²^ORCID,Li Shuai³,He Wenjing⁴^ORCID,Yang Jian⁵

Affiliation:

1. Lecturer, School of Architecture Building and Civil Engineering, Loughborough Univ., Loughborough LE11 3TU, UK. ORCID: .

2. Lecturer, Bartlett School of Construction and Project Management, Univ. College London, London WC1E 6BT, UK (corresponding author). ORCID: .

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN 37996.

4. Master’s Student, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China. ORCID: .

5. Professor, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000884

Reference61 articles.

1. Managing Construction Projects through Dynamic Modeling: Reviewing the Existing Body of Knowledge and Deriving Future Research Directions

2. From BIM to extended reality in AEC industry

3. Construction delay: a quantitative analysis

4. Causes of construction cost and time overruns: The 2010 FIFA World Cup stadia in South Africa;Baloyi L.;Acta Structilia,2011

5. Chen L. 2019. “An integrated construction schedule risk analysis approach for infrastructure projects under uncertainty.” Ph.D. thesis Dept. of Civil Engineering Hong Kong Univ.

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