DALI: A Decentralized, Agent-Based Approach for Adaptive Manufacturing Using Local Information

Schmid SJ, Harth A (2025)

Publication Type: Journal article

Publication year: 2025

Journal

ACM SIGAPP Applied Computing Review Association for Computing Machinery

Book Volume: 24

Pages Range: 20-36

Issue: 4

DOI: 10.1145/3722097.3722099

Abstract

We study how decentralized multi-agent systems adapt on local data in dynamic environments. In this extension of our earlier work, we build on our original setting of a driverless transportation system for a manufacturing scenario with Autonomous Guided Vehicles (AGVs) to include not only disturbances, but also perception and communication errors that hinder the information sharing of agents. We analyze how well the decentralized MAS can correct these errors, where corrections come from, how the errors impact the performance, and consider the communication efficiency among the MAS population.

Authors with CRIS profile

Sebastian Josef Schmid Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme Andreas Harth Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme

How to cite

APA:

Schmid, S.J., & Harth, A. (2024). DALI: A Decentralized, Agent-Based Approach for Adaptive Manufacturing Using Local Information. ACM SIGAPP Applied Computing Review, 24, 20-36. https://doi.org/10.1145/3722097.3722099

MLA:

Schmid, Sebastian Josef, and Andreas Harth. "DALI: A Decentralized, Agent-Based Approach for Adaptive Manufacturing Using Local Information." ACM SIGAPP Applied Computing Review 24 (2024): 20-36.

BibTeX: Download