Title: Incorporating Imperfect Information in Decentralized Agent-Based Dynamic and Integrated Scheduling
Authors: Gehlhoff, Felix 
Busert, Timo
Lewin, Marcus
Fay, Alexander 
Language: eng
Keywords: Agent-based Dynamic Scheduling;Information Quality;Real-time Location Information
Subject (DDC): 620 Ingenieurwissenschaften
Issue Date: 22-Oct-2018
Publisher: IEEE
Document Type: Conference Object
Page Start: 816
Page End: 823
Published in (Book): 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
Publisher Place: Piscataway
Conference: IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA); 04-07 September 2018, Turin, Italy
Dynamic markets drive the need for more flexible and robust production systems. Agents are a means to cope with this new reality by providing dynamic scheduling functionalities. However, agents have rarely made the step from research labs to real production environments so far. To perform in these environments, the agents need to cope with real and therefore often imperfect information. This holds especially true for agent-systems performing integrated scheduling of production and transportation processes using real-time location information. In this paper, a modeling framework is proposed that is based on accuracy, granularity, and frequency as universal quality dimensions for information that should be incorporated in decision-making. These dimensions are applied within an agent-based system that is to perform integrated dynamic scheduling in a real manufacturing environment.
Organization Units (connected with the publication): Automatisierungstechnik 
ISBN: 9781538671085
ISSN: 19460740
Publisher DOI: 10.1109/ETFA.2018.8502454
Appears in Collections:3 - Reported Publications

Show full item record

CORE Recommender


checked on Sep 22, 2023

Google ScholarTM




Items in openHSU are protected by copyright, with all rights reserved, unless otherwise indicated.