Evaluation of Complex Manufacturing Systems in the Context of Aggregated Operating Curves

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.

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Petri nets and genetic algorithms for complex manufacturing systems scheduling

International Journal of Production Research ◽

10.1080/00207543.2010.543177 ◽

2012 ◽

Vol 50 (3) ◽

pp. 791-803 ◽

Cited By ~ 19

Author(s):

Gonzalo Mejía ◽

Carlos Montoya ◽

Julián Cardona ◽

Ana Lucía Castro

Keyword(s):

Genetic Algorithms ◽

Petri Nets ◽

Manufacturing Systems ◽

Complex Manufacturing Systems

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DISCRETE MODELING OF COMPLEX MANUFACTURING SYSTEMS.

Theoretical & Applied Science ◽

10.15863/tas.2014.01.9.5 ◽

2014 ◽

Vol 9 (01) ◽

pp. 32-35

Author(s):

Andrey Mastislavovich Korneev ◽

◽

Faisal Abdo Ali Al-Saeedi ◽

Ghassan Mohsen Al-Sabry ◽

Tatiana Andreevna Smetannikova ◽

...

Keyword(s):

Manufacturing Systems ◽

Discrete Modeling ◽

Complex Manufacturing Systems

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Petri Net Model Based Design and Control of Robotic Manufacturing Cells

Industrial Engineering ◽

10.4018/978-1-4666-1945-6.ch023 ◽

2012 ◽

pp. 393-408

Author(s):

Gen’ichi Yasuda

Keyword(s):

Petri Nets ◽

Petri Net ◽

Manufacturing Systems ◽

Discrete Event ◽

Manufacturing Cells ◽

Modeling And Control ◽

Complex Manufacturing Systems ◽

Task Specification ◽

And Control ◽

The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

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Petri Net Model Based Design and Control of Robotic Manufacturing Cells

Operations Management Research and Cellular Manufacturing Systems - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-61350-047-7.ch018 ◽

2013 ◽

pp. 385-400 ◽

Cited By ~ 2

Author(s):

Gen’ichi Yasuda

Keyword(s):

Petri Nets ◽

Petri Net ◽

Manufacturing Systems ◽

Discrete Event ◽

Manufacturing Cells ◽

Modeling And Control ◽

Complex Manufacturing Systems ◽

Task Specification ◽

And Control ◽

The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

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