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Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework
Article de revue

Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework

Sarra Dahmani, Oussama Ben-Ammar et Aida Jebali
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part I, Vol.630(Part I), pp.311-320
IFIP Advances in Information and Communication Technology
01/01/2021

Résumé

Computer Science Computer Science, Information Systems Science & Technology Technology Telecommunications
This paper explores the role that Artificial Intelligence (AI) can play in building resilient project schedules. Based on a literature review and brainstorming sessions, we introduce a conceptual framework that details how AI-enabled predictive and prescriptive analytics can be leveraged to improve project schedule resilience. The latter specifies the potential of AI to make use of historical and real-time data to better contain the effect of disruptions on project schedules.

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