Machine-Learning Approach to Predict Total Fabrication Duration of Industrial Pipe Spools-Reference-Cited by-同舟云学术

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Machine-Learning Approach to Predict Total Fabrication Duration of Industrial Pipe Spools

Published:2023-02 Issue:2 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Mohsen Osama¹^ORCID,Petre Cristian²,Mohamed Yasser³^ORCID

Affiliation:

1. Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 1H9 (corresponding author). ORCID: .

2. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 1H9.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 1H9. ORCID: .

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-11973

Reference56 articles.

1. Construction delay: a quantitative analysis

2. A framework for an automated and integrated project monitoring and control system for steel fabrication projects

3. Factory Cycle-Time Prediction With a Data-Mining Approach

4. Shielding Production: Essential Step in Production Control

5. Engineering Challenges in the Design of Alberta’s Oil Sands Projects

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation;Energies;2024-09-03

2. Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review;Information Fusion;2024-09

3. Cost Performance Modeling for Steel Fabrication Shops with Machine Learning Algorithms;Journal of Construction Engineering and Management;2024-09

4. Case study on delivery time determination using a machine learning approach in small batch production companies;Journal of Intelligent Manufacturing;2024-01-12

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