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

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Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems. / Mohammed, Wael M.; Ramis Ferrer, Borja; Iarovyi, Sergii; Negri, Elisa; Fumagalli, Luca; Lobov, Andrei; Martinez Lastra, Jose L.

julkaisussa: International Journal of Computer Integrated Manufacturing, 04.03.2018, s. 1-13.

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Author

Mohammed, Wael M. ; Ramis Ferrer, Borja ; Iarovyi, Sergii ; Negri, Elisa ; Fumagalli, Luca ; Lobov, Andrei ; Martinez Lastra, Jose L. / Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems. Julkaisussa: International Journal of Computer Integrated Manufacturing. 2018 ; Sivut 1-13.

Bibtex - Lataa

@article{edfb04d673ce4fdfb196ecfeb2556b45,

title = "Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems",

abstract = "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.",

keywords = "Knowledge-driven manufacturing systems, manufacturing execution system functions, semantics",

author = "Mohammed, {Wael M.} and {Ramis Ferrer}, Borja and Sergii Iarovyi and Elisa Negri and Luca Fumagalli and Andrei Lobov and {Martinez Lastra}, {Jose L.}",

year = "2018",

month = "3",

day = "4",

doi = "10.1080/0951192X.2017.1407874",

language = "English",

pages = "1--13",

journal = "International Journal of Computer Integrated Manufacturing",

issn = "0951-192X",

publisher = "Taylor & Francis",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems

AU - Mohammed, Wael M.

AU - Ramis Ferrer, Borja

AU - Iarovyi, Sergii

AU - Negri, Elisa

AU - Fumagalli, Luca

AU - Lobov, Andrei

AU - Martinez Lastra, Jose L.

PY - 2018/3/4

Y1 - 2018/3/4

N2 - 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.

AB - 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.

KW - Knowledge-driven manufacturing systems

KW - manufacturing execution system functions

KW - semantics

U2 - 10.1080/0951192X.2017.1407874

DO - 10.1080/0951192X.2017.1407874

M3 - Article

SP - 1

EP - 13

JO - International Journal of Computer Integrated Manufacturing

JF - International Journal of Computer Integrated Manufacturing

SN - 0951-192X

ER -

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