TY - JOUR
T1 - End-to-end manufacturing in factories of the future
AU - Ferreira, José
AU - Sarraipa, João
AU - Ferro-Beca, Miguel
AU - Agostinho, Carlos
AU - Costa, Ruben
AU - Jardim-Goncalves, Ricardo
N1 - The research leading to these results have received funding from the European Union 7th Framework Programme (FP7/2007-2013) under grant agreement: IMAGINE nr 285132, (www.imagine-futurefactory.eu/)
PY - 2017/1/2
Y1 - 2017/1/2
N2 - In the last decades, manufacturing companies have increasingly outsourced many of their functions in order to focus on their core skills and competencies. Moreover, manufacturers often have to join together in dynamic manufacturing networks in order to respond to business demands or new opportunities. Given the heterogeneity of enterprises systems, knowledge representation methods and semantics, the management of such networks is not trivial. The lack of standard tools, methodologies, and a common semantic makes the creation and monitoring of such networks difficult. Therefore, the IMAGINE project defined a framework for an interoperable end-to-end manufacturing that potentially will become essential in factories of the future. As a consequence the same project implemented a platform based on such framework guidelines which provides a central repository and standardised search, configuration and simulation capabilities to enable an efficient creation, monitoring and management of dynamic manufacturing networks. The paper presents an extension to the IMAGINE platform to enable any manufacturer to integrate its systems with such platform, in a way that guarantees seamless interoperability, thus ensuring proper communication and data exchange between all the partners in a manufacturing network throughout the entire manufacturing life cycle, from supplier search to manufacturing execution and monitoring. The use of the proposed platform extension is exemplified through a use case scenario in the furniture manufacturing sector.
AB - In the last decades, manufacturing companies have increasingly outsourced many of their functions in order to focus on their core skills and competencies. Moreover, manufacturers often have to join together in dynamic manufacturing networks in order to respond to business demands or new opportunities. Given the heterogeneity of enterprises systems, knowledge representation methods and semantics, the management of such networks is not trivial. The lack of standard tools, methodologies, and a common semantic makes the creation and monitoring of such networks difficult. Therefore, the IMAGINE project defined a framework for an interoperable end-to-end manufacturing that potentially will become essential in factories of the future. As a consequence the same project implemented a platform based on such framework guidelines which provides a central repository and standardised search, configuration and simulation capabilities to enable an efficient creation, monitoring and management of dynamic manufacturing networks. The paper presents an extension to the IMAGINE platform to enable any manufacturer to integrate its systems with such platform, in a way that guarantees seamless interoperability, thus ensuring proper communication and data exchange between all the partners in a manufacturing network throughout the entire manufacturing life cycle, from supplier search to manufacturing execution and monitoring. The use of the proposed platform extension is exemplified through a use case scenario in the furniture manufacturing sector.
KW - collaborative manufacturing
KW - enterprise integration
UR - http://www.scopus.com/inward/record.url?scp=84967185353&partnerID=8YFLogxK
U2 - 10.1080/0951192X.2016.1185155
DO - 10.1080/0951192X.2016.1185155
M3 - Article
AN - SCOPUS:84967185353
SN - 0951-192X
VL - 30
SP - 121
EP - 133
JO - International Journal Of Computer Integrated Manufacturing
JF - International Journal Of Computer Integrated Manufacturing
IS - 1
ER -