Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework

Sarrah Dahmani
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Aida Jebali
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Abstract

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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hal-04030361 , version 1 (15-03-2023)

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Sarrah Dahmani, Oussama Ben-Ammar, Aida Jebali. Resilient Project Scheduling Using Artificial Intelligence: A Conceptual Framework. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.311-320, ⟨10.1007/978-3-030-85874-2_33⟩. ⟨hal-04030361⟩
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