An Integrated Approach for Ontology-Driven Configuration Management and Run-Time Execution of Manufacturing Systems
Sampath Kumar, Anisha (2016)
Sampath Kumar, Anisha
2016
Master's Degree Programme in Machine Automation
Teknisten tieteiden tiedekunta - Faculty of Engineering Sciences
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Hyväksymispäivämäärä
2016-02-03
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201601272260
https://urn.fi/URN:NBN:fi:tty-201601272260
Tiivistelmä
The contemporary manufacturing systems must respond instantly to rapidly changing customer and market requirements in order to survive the intensive competitive environment. The factories should have the agility to adapt to mass customization and introduction of new product, equipment and technology to manufacturing. This is possible by having re-configurable loosely coupled system which offers run-time decision making capability on all levels of factory from shop floor to ERP systems. This thesis proposes a knowledge-based approach for achieving shop-floor device configuration management, run-time execution support for orchestration engines and re-configurable visualization for monitoring systems.
The thesis work was carried out as a part of the European project eScop by Arthemis Joint Undertaking, where knowledge bases as the information source for manufacturing execution system is the core concept. This thesis work involves semantic modeling of the manufacturing knowledge in a Manufacturing System Ontology (MSO) and exposing the knowledge to other components of the system using web services. It employs Service Oriented Architecture (SOA) on device level to facilitate knowledge extraction. A methodology is put forward in the thesis to design ontology with broader capabilities and queries for reasoning the ontology. Ontologies are extendable and easy to update offering flexibility to address system changes. The reusability of knowledge simplifies the addition of new product or equipment and thereby offering re-configurability to the system. The proposed approach has been tested by implementing on a real manufacturing system and the research objectives were achieved.
The thesis work was carried out as a part of the European project eScop by Arthemis Joint Undertaking, where knowledge bases as the information source for manufacturing execution system is the core concept. This thesis work involves semantic modeling of the manufacturing knowledge in a Manufacturing System Ontology (MSO) and exposing the knowledge to other components of the system using web services. It employs Service Oriented Architecture (SOA) on device level to facilitate knowledge extraction. A methodology is put forward in the thesis to design ontology with broader capabilities and queries for reasoning the ontology. Ontologies are extendable and easy to update offering flexibility to address system changes. The reusability of knowledge simplifies the addition of new product or equipment and thereby offering re-configurability to the system. The proposed approach has been tested by implementing on a real manufacturing system and the research objectives were achieved.