A GEMMA-based decentralized architecture for smart production systems
Within the Industry 4.0 paradigm, production systems have shifted into Smart Production Systems controlled through decentralized architectures. To enable the development of decentralized architectures supervised from a central coordinator, it is necessary to define common approaches and vocabularies...
- Autores:
-
Hernández Rodríguez, José Daniel
Gutiérrez, David Andrés
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/49291
- Acceso en línea:
- http://hdl.handle.net/1992/49291
- Palabra clave:
- Control de procesos industriales
Procesos de manufactura
Sistemas integrados de fabricación por computado
Administración de la producción
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Summary: | Within the Industry 4.0 paradigm, production systems have shifted into Smart Production Systems controlled through decentralized architectures. To enable the development of decentralized architectures supervised from a central coordinator, it is necessary to define common approaches and vocabularies to facilitate the exchange of real-time data and information among the different manufacturing entities. To face this challenge, a GEMMA-based decentralized architecture is proposed within this paper. A Hierarchical Design Pattern for UR-controllers is introduced to generate code from specifications expressed in accordance with a GEMMA-GRAFCET representation. Then, a PLC-controlled system is integrated with a Universal Robot for the generation of a Decentralized Architecture Supervised from a Central Coordinator. Through a lab case study, it is demonstrated how the proposed approach enables the implementation of a decentralized architecture through the use of a common vocabulary for the management of the operational modes of production systems |
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