Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems

• Published in: International journal of computer integrated manufacturing Vol. 31; no. 3; pp. 262 - 274
• Main Authors: Mohammed, Wael M., Ramis Ferrer, Borja, Iarovyi, Sergii, Negri, Elisa, Fumagalli, Luca, Lobov, Andrei, Martinez Lastra, Jose L.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 04.03.2018
• Subjects: Knowledge-driven manufacturing systems; manufacturing execution system functions; semantics
• ISSN: 0951-192X; 1362-3052
• DOI: 10.1080/0951192X.2017.1407874

Information technologies grow rapidly nowadays with the advance and extension of computing capabilities. This growth affects several fields, which consume these technologies. Industrial Automation is not an exception. This publication describes a general and flexible architecture for implementing Manufacturing Execution System (MES) function, which can be deployed in multiple industrial cases. These features are achieved by combining the flexibility of knowledge-driven systems with the vendor-independent property of RESTful web services. With deployment of this solution, MES functions may gain more versatility and independency. This research work is a continuation of the development of the OKD-MES (Open Knowledge-Driven Manufacturing Execution System) framework during the execution of the eScop project. The OKD-MES framework consists on a semantic-based solution for controlling and enhancing the flexibility and re-configurability of MES. In such scope, this research presents MES functions architecture that might be implemented in the OKD-MES framework in order to increase the flexibility of event-driven manufacturing systems.