TY - JOUR
T1 - Assistant
T2 - 17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021
AU - Beldiceanu, Nicolas
AU - Dolgui, Alexandre
AU - Gonnermann, Clemens
AU - Gonzalez-Castañé, Gabriel
AU - Kousi, Niki
AU - Meyers, Bart
AU - Prud'homme, Julien
AU - Thevenin, Simon
AU - Vyhmeister, Eduardo
AU - Östberg, Per Olov
N1 - Publisher Copyright:
© 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2021
Y1 - 2021
N2 - The European project ASSISTANT will provide a set of AI-based digital twins that helps process engineers and production planners to operate collaborative mixed-model assembly lines based on the data collected from IoT devices and external data sources. Such a tool will help planners to design the assembly line, plan the production, operate the line, and improve process tuning. In addition, the system monitors the line in real-time, ensures that all required resources are available, and allows fast re-planning when necessary. ASSISTANT aims to make cost-effective decisions while ensuring product quality, safety and wellbeing of the workers, and managing the various sources of uncertainties. The resulting digital twin systems will be data-driven, agile, autonomous, collaborative and explainable, safe but reactive.
AB - The European project ASSISTANT will provide a set of AI-based digital twins that helps process engineers and production planners to operate collaborative mixed-model assembly lines based on the data collected from IoT devices and external data sources. Such a tool will help planners to design the assembly line, plan the production, operate the line, and improve process tuning. In addition, the system monitors the line in real-time, ensures that all required resources are available, and allows fast re-planning when necessary. ASSISTANT aims to make cost-effective decisions while ensuring product quality, safety and wellbeing of the workers, and managing the various sources of uncertainties. The resulting digital twin systems will be data-driven, agile, autonomous, collaborative and explainable, safe but reactive.
KW - Artificial intelligence
KW - Data analytics
KW - Decision aid
KW - Digital twins
KW - Process and production planning
KW - Real-time control
KW - Reconfigurable manufacturing systems
KW - Scheduling
UR - https://www.scopus.com/pages/publications/85119693666
U2 - 10.1016/j.ifacol.2021.08.074
DO - 10.1016/j.ifacol.2021.08.074
M3 - Article
AN - SCOPUS:85119693666
SN - 2405-8971
VL - 54
SP - 641
EP - 646
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 1
Y2 - 7 June 2021 through 9 June 2021
ER -
