Version 1
: Received: 31 August 2016 / Approved: 1 September 2016 / Online: 1 September 2016 (10:48:48 CEST)
How to cite:
Micieta, B.; Durica, L.; Binasova, V. Bio-Inspired Manufacturing Multi-Agent System for Control and Coordination of AGV Systems. Preprints2016, 2016090003. https://doi.org/10.20944/preprints201609.0003.v1
Micieta, B.; Durica, L.; Binasova, V. Bio-Inspired Manufacturing Multi-Agent System for Control and Coordination of AGV Systems. Preprints 2016, 2016090003. https://doi.org/10.20944/preprints201609.0003.v1
Micieta, B.; Durica, L.; Binasova, V. Bio-Inspired Manufacturing Multi-Agent System for Control and Coordination of AGV Systems. Preprints2016, 2016090003. https://doi.org/10.20944/preprints201609.0003.v1
APA Style
Micieta, B., Durica, L., & Binasova, V. (2016). Bio-Inspired Manufacturing Multi-Agent System for Control and Coordination of AGV Systems. Preprints. https://doi.org/10.20944/preprints201609.0003.v1
Chicago/Turabian Style
Micieta, B., Lukas Durica and Vladimira Binasova. 2016 "Bio-Inspired Manufacturing Multi-Agent System for Control and Coordination of AGV Systems" Preprints. https://doi.org/10.20944/preprints201609.0003.v1
Abstract
In this paper, modelling, simulation and verification of multi-agent manufacturing system with application of bio-inspired techniques are addressed. To this end, the new solution of abstract architecture for control and coordination decentralized systems - CODESA is suggested. Centralized architecture suffers from various problems, such as rigidity, scalability, low fault-tolerance or very limited flexibility, agility, energy efficiency and productivity. Prime is concrete application of CODESA in manufacturing domain. The undesirable characteristics of emergent behaviour are the problem to achieve optimization and impossibility to predict future states of the system. CODESA-Prime has been tested by simulations for automatic guided vehicle (AGV) systems guided by magnetic tape in Ella Software Platform.
Keywords
industrial automation; autonomous design; multi-agent systems; industry 4.0; biologically inspired techniques; AGV systems; energy efficiency
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.