Agent-based Decentral Production Planning and Control: A New Approach for Multi-resource Scheduling

Martin Krockert; Marvin Matthes; Torsten Munkelt

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Paper

Agent-based Decentral Production Planning and Control: A New Approach for Multi-resource Scheduling

Topics: Distributed Systems; Intelligent Agents; Multi-Agent Systems; Scheduling and Planning; Simulation

In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, 442-451, 2021

Authors: Martin Krockert ; Marvin Matthes and Torsten Munkelt

Affiliation: Faculty of Computer Science, Dresden University of Applied Sciences, Friedrich-List-Platz 1, Dresden, Germany

Keyword(s): Multi-resource, Agent-based, Decentral, Job-Shop, Production, Scheduling, Planning.

Abstract: Manufacturing jobs commonly require more than one resource in order to equip machines with tools and process jobs. To achieve a feasible production plan and control its execution in an agent-based decentral production we developed a new approach presented in this paper. We introduce a negotiation procedure, based on the job priority and overlapping time slots across all resources. In addition, we provide simulative evidence that our approach is superior, in terms of time-based key performance indicators, to commonly used queuing procedures and the approach provides a more stable production under uncertain customer order arrivals and deviating processing times.

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Paper citation in several formats:

Krockert, M.; Matthes, M. and Munkelt, T. (2021). Agent-based Decentral Production Planning and Control: A New Approach for Multi-resource Scheduling. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 442-451. DOI: 10.5220/0010436204420451

@conference{iceis21,
author={Martin Krockert. and Marvin Matthes. and Torsten Munkelt.},
title={Agent-based Decentral Production Planning and Control: A New Approach for Multi-resource Scheduling},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={442-451},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010436204420451},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Agent-based Decentral Production Planning and Control: A New Approach for Multi-resource Scheduling
SN - 978-989-758-509-8
IS - 2184-4992
AU - Krockert, M.
AU - Matthes, M.
AU - Munkelt, T.
PY - 2021
SP - 442
EP - 451
DO - 10.5220/0010436204420451
PB - SciTePress