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Artificial Intelligence Applications in Project Scheduling: A Systematic Review, Bibliometric Analysis, and Prospects for Future Research Cover

Artificial Intelligence Applications in Project Scheduling: A Systematic Review, Bibliometric Analysis, and Prospects for Future Research

Management Systems in Production Engineering
Volume 31 (2023): Issue 2 (June 2023)
By: ,  ,   and    
Open Access
|May 2023
Authors

Authors

Zied Bahroun

zbahroun@aus.edu

Department of Industrial Engineering, American University of Sharjah, Sharjah, United Arab Emirates

Moayad Tanash

Department of Industrial Engineering, The Hashemite University, Zarqa, Jordan

Rami As’ad

Department of Industrial Engineering, American University of Sharjah, Sharjah, United Arab Emirates

Mohamad Alnajar

Department of Industrial Engineering, American University of Sharjah, Sharjah, United Arab Emirates
DOI: https://doi.org/10.2478/mspe-2023-0017 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
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Language: English
Page range: 144 - 161
Submitted on: Oct 1, 2022
Accepted on: Apr 1, 2023
Published online: May 3, 2023
Published in print: Jun 1, 2023
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Keywords:
Artificial intelligence,
machine learning,
project scheduling,
bibliometric analysis,
network analysis,
review
Related subjects:
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Engineering,
Mechanical engineering,
Production technology,
Tools and methods,
Process engineering and industrial engineering

© 2023 Zied Bahroun, Moayad Tanash, Rami As’ad, Mohamad Alnajar, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 31 (2023): Issue 2 (June 2023)
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