2019
Oliver Antons; Julia C. Bendul
The impact of information and communication flow structures on logistics performance in Industry 4.0 production systems with distributed control Proceedings Article
In: EurOMA19, 2019.
Abstract | BibTeX | Tags: Autonomy & Decision-making Authority, Distributed control, Graph colouring dynamics, Scheduling
@inproceedings{Antons-2019-ID692,
title = {The impact of information and communication flow structures on logistics performance in Industry 4.0 production systems with distributed control},
author = {Oliver Antons and Julia C. Bendul},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {EurOMA19},
abstract = {This paper studies the influence of accessible information and communication in distributed control systems for Industry 4.0 applications. To this end, we compare a purely decentralized and a hybrid heuristic in a multi-agent system in order to solve graph colouring dynamics. By means of simulations, both heuristics are compared, and while no heuristic clearly dominates the other, insights on design challenges in distributed control are derived.},
keywords = {Autonomy \& Decision-making Authority, Distributed control, Graph colouring dynamics, Scheduling},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper studies the influence of accessible information and communication in distributed control systems for Industry 4.0 applications. To this end, we compare a purely decentralized and a hybrid heuristic in a multi-agent system in order to solve graph colouring dynamics. By means of simulations, both heuristics are compared, and while no heuristic clearly dominates the other, insights on design challenges in distributed control are derived.
Oliver Antons; Julia C. Bendul
Decision making in industry 4.0--a comparison of distributed control approaches Proceedings Article
In: International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, pp. 329–339, Springer 2019.
Abstract | Links | BibTeX | Tags: Autonomy & Decision-making Authority, Distributed control, Graph colouring dynamics, Industry 4.0, Multi-agent system
@inproceedings{antons2019decision,
title = {Decision making in industry 4.0--a comparison of distributed control approaches},
author = {Oliver Antons and Julia C. Bendul},
url = {https://link.springer.com/chapter/10.1007/978-3-030-27477-1_25},
doi = {10.1007/978-3-030-27477-1_25},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing},
pages = {329--339},
organization = {Springer},
abstract = {This paper studies the influence of available information and coordination in distributed control systems for Industry 4.0. A purely decentralized and a hybrid heuristic are deployed in a Multi-Agent System in order to solve graph coloring dynamics. By means of simulation a multitude of instances is evaluated, showing a superior performance of the hybrid heuristic in most cases, underlining the importance of information availability and coordination in distributed control.},
keywords = {Autonomy \& Decision-making Authority, Distributed control, Graph colouring dynamics, Industry 4.0, Multi-agent system},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper studies the influence of available information and coordination in distributed control systems for Industry 4.0. A purely decentralized and a hybrid heuristic are deployed in a Multi-Agent System in order to solve graph coloring dynamics. By means of simulation a multitude of instances is evaluated, showing a superior performance of the hybrid heuristic in most cases, underlining the importance of information availability and coordination in distributed control.