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

Pubblicato online: 03 mag 2023

Pagine: 144 - 161

Ricevuto: 01 ott 2022

Accettato: 01 apr 2023

DOI: https://doi.org/10.2478/mspe-2023-0017

Parole chiave

Artificial intelligence, machine learning, project scheduling, bibliometric analysis, network analysis, review

© 2023 Zied Bahroun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.