Agentic AI for decentralized, natural-language communication and interaction between agents in self-organizing manufacturing systems

Krüger JH, Reichenstein T, Gutwald B, Albayrak B, Müller A, Kedilioglu O, Krueger M, Franke J, Sindel T, Fürst J (2026)

Publication Type: Journal article

Publication year: 2026

Journal

Procedia CIRP Curran

Original Authors: Jan Hinrich Krüger, Tobias Reichenstein, Benjamin Gutwald, Baris Eray Albayrak, Adrian Müller, Oguz Kedilioglu, Martin Krueger, Jörg Franke, Till Sindel, Jens Fürst

Book Volume: 146

Pages Range: 90-95

DOI: 10.1016/j.procir.2026.03.192

Abstract

Self-organization in manufacturing systems has been a topic of research for several decades. Due to their inherent advantages, such as increased flexibility, robustness, and adaptability to dynamic environments, self-organizing systems are considered highly relevant for addressing modern manufacturing challenges. Still, only few industrial implementations of self-organization in manufacturing systems have been achieved so far. With recent advances in AI technologies, this paper investigates the potential of agentic AI to enable self-organizing, decentralized, and agent-based manufacturing systems. Specifically, a use case of an agentic AI-driven multi-agent system for manufacturing systems utilizing the tool calling and natural language processing capabilities of large language models is presented and validated. It demonstrates that large language model-based agents can facilitate dynamic task allocation through communication in natural language, thereby increasing the autonomy of single agents and advancing the practical realization of self-organization in manufacturing systems. The main challenge remaining is utilizing emergent behavior, as the current system was too limited in size to display it.

Authors with CRIS profile

Tobias Reichenstein Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Benjamin Gutwald Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Baris Albayrak Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Adrian Müller Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Oguz Kedilioglu Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Martin Krueger Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Till Sindel Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jens Fürst Professur für Digitale Fabrik mit dem Schwerpunkt Medizintechnik

How to cite

APA:

Krüger, J.H., Reichenstein, T., Gutwald, B., Albayrak, B., Müller, A., Kedilioglu, O.,... Fürst, J. (2026). Agentic AI for decentralized, natural-language communication and interaction between agents in self-organizing manufacturing systems. Procedia CIRP, 146, 90-95. https://doi.org/10.1016/j.procir.2026.03.192

MLA:

Krüger, Jan Hinrich, et al. "Agentic AI for decentralized, natural-language communication and interaction between agents in self-organizing manufacturing systems." Procedia CIRP 146 (2026): 90-95.

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