Increasing Robustness of Agents' Decision-Making in Production Automation using Sanctioning

Kathrin Land, Luis Gustavo Nardin, Birgit Vogel-Heuser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Industry 4.0 requires high reconfigurability and flexibility of cyber-physical production systems (CPPS). Agent-based approaches are introduced to realize decentralized decision-making and flexibility within CPPS. Agents negotiate with each other regarding task allocation in production systems to achieve a global goal together. In non-deterministic systems, agents' decision-making can become inaccurate due to misalignment between the agents' beliefs and the actual state of the physical system they represent. (Un)Intentional misestimations can lead to non-optimal task allocation regarding the global system's goal. Additionally, decisions that benefit individual agents' goals, such as 'get all tasks', can contradict the global system's goal. In this paper, a sanctioning approach known from socio-technical systems is integrated into a non-deterministic production plant consisting of a process part and a logistics part to increase the robustness of agents' decision-making.

Original languageEnglish
Title of host publication2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023
EditorsHelene Dorksen, Stefano Scanzio, Jurgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665493130
DOIs
StatePublished - 2023
Event21st IEEE International Conference on Industrial Informatics, INDIN 2023 - Lemgo, Germany
Duration: 17 Jul 202320 Jul 2023

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
Volume2023-July
ISSN (Print)1935-4576

Conference

Conference21st IEEE International Conference on Industrial Informatics, INDIN 2023
Country/TerritoryGermany
CityLemgo
Period17/07/2320/07/23

Keywords

  • decision-making
  • multi-agent systems
  • production automation
  • sanctioning

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