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Chapitre D'ouvrage Année : 2021

Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework.

Résumé

This paper explores the role that Arti cial 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 speci es the potential of AI to make use of historical and real-time data to better contain the e ect of disruptions on project schedules.
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Dates et versions

hal-03852832 , version 1 (15-11-2022)

Identifiants

  • HAL Id : hal-03852832 , version 1

Citer

Sarrah Dahmani, Oussama Ben-Ammar, Aida Jebali. Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework.. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 630, Springer, 2021, Artificial Intelligence for Sustainable and Resilient Production Systems. ⟨hal-03852832⟩
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