Resilient Project Scheduling Using Artificial Intelligence: a Conceptual Framework

Sarra Dahmani¹, Oussama Ben-Ammar², Aïda Jebali¹

¹SKEMA Business School, Université Côte d’Azur, Paris, France; ²Department of Manufacturing Sciences and Logistics, Mines Saint-Etienne, University Clermont Auvergne, CNRS, UMR 6158 LIMOS CMP, Gardanne, France

Knowledge graphs in digital twins for AI in production

Pieter Lietaert, Bart Meyers, Johan Van Noten, Joren Sips, Klaas Gadeyne

Flanders Make, Belgium

Decision Support on the Shop Floor Using Digital Twins: Architecture and Functional Components for Simulation-Based Assistance

Franz Georg Listl^1,2, Jan Fischer², Roland Rosen², Annelie Sohr², Jan Christoph Wehrstedt², Michael Weyrich¹

¹Institute of Automation and Software Engineering, University of Stuttgart, Germany; ²Siemens AG, Germany

Worker in the loop: a framework for enabling Human-Robot collaborative assembly

Eleni Tzavara, Panagiotis Angelakis, George Veloudis, Christos Gkournelos, Sotiris Makris

LMS-University of Patras, Greece

A taxonomy for resistance concepts in manufacturing networks

Ferdinand Deitermann, Thomas Friedli

University of St. Gallen, Switzerland