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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
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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 on: May 3, 2023
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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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