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Gärtner H, Lonsdorfer M, Maßmann M, Peters M, Theiß T (2022). Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field. Logistics Journal : nicht referierte Veröffentlichungen, Vol. 2022. (urn:nbn:de:0009-14-55282)

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%0 Journal Article
%T Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field
%A Gärtner, Henner
%A Lonsdorfer, Maxime
%A Maßmann, Melanie
%A Peters, Marius
%A Theiß, Thore
%J Logistics Journal : nicht referierte Veröffentlichungen
%D 2022
%V 2022
%N 06
%@ 1860-5923
%F gärtner2022
%X How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  – Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.
%L 620
%K autonomous guided vehicle
%K cyber-physical production systems
%K cyber-physical systems
%K decentral control
%K decision-making
%K dezentrale Produktionssteuerung
%K agent theory
%K Message Queue Telemetry Transport (MQTT)
%R 10.2195/lj_NotRev_gaertner_en_202206_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-55282
%U http://dx.doi.org/10.2195/lj_NotRev_gaertner_en_202206_01
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@Article{gärtner2022,
  author = 	"G{\"a}rtner, Henner
		and Lonsdorfer, Maxime
		and Ma{\ss}mann, Melanie
		and Peters, Marius
		and Thei{\ss}, Thore",
  title = 	"Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field",
  journal = 	"Logistics Journal : nicht referierte Ver{\"o}ffentlichungen",
  year = 	"2022",
  volume = 	"2022",
  number = 	"06",
  keywords = 	"autonomous guided vehicle; cyber-physical production systems; cyber-physical systems; decentral control; decision-making; dezentrale Produktionssteuerung; agent theory; Message Queue Telemetry Transport (MQTT)",
  abstract = 	"How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a ``swimming pool'' model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  -- Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_gaertner_en_202206_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-55282"
}
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TY  - JOUR
AU  - Gärtner, Henner
AU  - Lonsdorfer, Maxime
AU  - Maßmann, Melanie
AU  - Peters, Marius
AU  - Theiß, Thore
PY  - 2022
DA  - 2022//
TI  - Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field
JO  - Logistics Journal : nicht referierte Veröffentlichungen
VL  - 2022
IS  - 06
KW  - autonomous guided vehicle
KW  - cyber-physical production systems
KW  - cyber-physical systems
KW  - decentral control
KW  - decision-making
KW  - dezentrale Produktionssteuerung
KW  - agent theory
KW  - Message Queue Telemetry Transport (MQTT)
AB  - How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  – Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-55282
DO  - 10.2195/lj_NotRev_gaertner_en_202206_01
ID  - gärtner2022
ER  -
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ISI

PT Journal
AU Gärtner, H
   Lonsdorfer, M
   Maßmann, M
   Peters, M
   Theiß, T
TI Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field
SO Logistics Journal : nicht referierte Veröffentlichungen
PY 2022
VL 2022
IS 06
DI 10.2195/lj_NotRev_gaertner_en_202206_01
DE autonomous guided vehicle; cyber-physical production systems; cyber-physical systems; decentral control; decision-making; dezentrale Produktionssteuerung; agent theory; Message Queue Telemetry Transport (MQTT)
AB How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  – Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.
ER
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  <abstract>How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  – 
Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.</abstract>
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Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2022, Iss. 06
Title

Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field (eng)
Author Henner Gärtner, Maxime Lonsdorfer, Melanie Maßmann, Marius Peters, Thore Theiß
Language eng
Abstract How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany. This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service. – Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner. Wie ein dezentrales Fertigungssteuerungskonzept realisiert werden und Erfolg herbeiführen kann, wirft noch immer Fragen auf. Daher wird an der Hochschule für Angewandte Wissenschaften Hamburg, Deutschland ein cyber-physikalisches Testfeld unter Verwendung von fahrerlosen Transportfahrzeugen (Automated Guided Vehicles AGV) entwickelt. Das Testfeld kann als ein "Swimmingpool"-Modell dargestellt werden. Diese Analogie beschreibt die Freiheit der Produktionsaufträge, sich mit Hilfe der AGVs dezentral innerhalb der Grenzen des "Pools", also der Produktion selbst, zu bewegen. Die Produktionsaufträge sollen den Pool von der Auftragsfreigabe auf der linken Seite bis zur Auftragsfertigstellung auf der rechten Seite des Pools durchqueren. Dabei können die Fertigungsaufträge unabhängig voneinander über die knappen Bearbeitungskapazitäten verhandeln. Ausgestattet mit bestimmten Kundenprioritäten kann ein Produktionsauftrag um eine Schwimmbahn mit teurer, aber schneller CNC-Bearbeitungskapazität verhandeln, während ein anderer Auftrag eine parallele Schwimmbahn mit preiswerter, aber langsamer konventioneller Bearbeitung bevorzugt. – Unsere Forschung auf diesem Gebiet hat gezeigt, dass ein gut organisierter Kommunikationsprozess zwischen allen Entitäten im System entscheidend für die Umsetzung eines solch dezentral organisierten Schwimmbadmodells ist. Daher konzentriert sich dieser Artikel auf die Beschreibung eines Verhandlungsmechanismus zur Unterstützung der Entscheidungsfindung zwischen diesen Entitäten. Technische Enabler wie ein MQTT-Kommunikationsbroker und eine geeignete Simulationsumgebung unterstützen das Gesamtkonzept. Es soll herausgefunden werden, inwieweit alle dezentralen Entitäten des cyber-physischen Produktionssystems (CPS) ressourcen-schonend und wertschöpfend agieren.
Subject autonomous guided vehicle, cyber-physical production systems, cyber-physical systems, decentral control, decision-making, dezentrale Produktionssteuerung, agent theory, Message Queue Telemetry Transport (MQTT)
DDC 620
Rights DPPL
URN: urn:nbn:de:0009-14-55282
DOI https://doi.org/10.2195/lj_NotRev_gaertner_en_202206_01