Local Decision Making based on Distributed Digital Twin Framework

Villalonga Jaén, Alberto and Negri, Elisa and Fumagalli, Luca and Macchi, Marco and Castaño Romero, Fernando and Haber Guerra, Rodolfo E. (2020). Local Decision Making based on Distributed Digital Twin Framework. In: "IFAC World Congress 2020", July 11-17, 2020, Berlin, Germany.

Description

Title: Local Decision Making based on Distributed Digital Twin Framework
Author/s:
  • Villalonga Jaén, Alberto
  • Negri, Elisa
  • Fumagalli, Luca
  • Macchi, Marco
  • Castaño Romero, Fernando
  • Haber Guerra, Rodolfo E.
Item Type: Presentation at Congress or Conference (Article)
Event Title: IFAC World Congress 2020
Event Dates: July 11-17, 2020
Event Location: Berlin, Germany
Title of Book: Proceedings of 2020 IFAC World Congress
Date: 17 July 2020
Subjects:
Freetext Keywords: Digital Twin, distributed Digital Twin framework, MES, fault detection, local decision making
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - Non commercial

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Abstract

In recent years, digitalization has taken an important role in the manufacturing industry. Digital twins (DT) are one of the key enabling technologies that are leading the digital transformation. Integrating DT with IoT and artificial intelligence enables the development of more accurate models to improve scheduling tasks, production performance indices, optimization and decision-making. This work proposes a distributed DT framework to improve decision making at local level in manufacturing processes. A decision-making module supported on an adaptive threshold procedure is designed and implemented. Finally, the proposed framework is evaluated on a pilot line, highlighting the behavior of the decision-making module for detecting possible faults, alerting the operator and notifying the manufacturing execution system to trigger actions of reconfiguration and scheduling.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2017-86915-C3-3-RCOGDRIVEUnspecifiedTécnicas de Inteligencia Artificial y Ayuda a la Navegación Autónoma

More information

Item ID: 64945
DC Identifier: http://oa.upm.es/64945/
OAI Identifier: oai:oa.upm.es:64945
Deposited by: Dr. Rodolfo Haber
Deposited on: 23 Oct 2020 09:26
Last Modified: 23 Oct 2020 09:29
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