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001			402132
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005			20240514120050.0
007			cr nn 008mamaa
008			240320s2024 sz | o |||| 0|eng d
020			_a9783031247712
024	7		_a10.1007/978-3-031-24771-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHD28-70 _b2024 EB
245	0	0	_aEnterprise Interoperability X : _bEnterprise Interoperability Through Connected Digital Twins _cedited by Ra�ul Rodr�iguez-Rodr�iguez, Yves Ducq, Ramona-Diana Leon, David Romero
250			_a1st ed. 2024.
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en li��nea
336			_atexto _btxt _2rdacontent
337			_aelectro��nico _bc _2rdamedia
338			_arecurso electro��nico _bcr _2rdacarrier
490	0		_aProceedings of the I-ESA Conferences _x2199-2541 _v11
505	0		_aTentative: Part I: Architectures and Frameworks for Enterprise Interoperability -- Part II: Artificial Intelligence for Enterprise Interoperability -- Part III: Collaborative Supply Networks for Enterprise Interoperability -- Part IV: Digital Platforms for Enterprise Interoperability -- Part V: Digital Twins for Enterprise Interoperability -- Part VI: Enterprise Modelling for Enterprise Interoperability -- Part VII: Industrial Implementation for Enterprise Interoperability -- Part VIII: Interoperability for Crisis Management -- Part IX: Interoperability for Industry 4.0 -- Part X: Ontologies for Enterprise Interoperability -- Part XI: Semantics for Enterprise Interoperability -- Part XII: Services Innovation for Enterprise Interoperability -- Part XIII: Standardization to Enhance Enterprise Interoperability. .
520			_aEnterprise Interoperability X presents contributions ranging from academic research and case studies, to industrial and administrative experiences with interoperability. These contributions help organizations to analyse and improve their products and processes in the face of the high degree of uncertainty in the current commercial environment, and to predict their performance. To this end, the contributors exploit digital twin technology that integrates tools from the Internet of Things, artificial intelligence and software analytics. Enterprise interoperability necessarily arises from the processes required to make associated digital twins work together. The book forms the proceedings of the I-ESA'22 Conference, which was organised by the Universidad Polit{acute}ecnica de Valencia, on behalf of INTERVAL and the European Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab), and was held in Valencia, Spain in March 2022. Many of the papers in this eleventh volume of the Proceedings of the I-ESA Conferences include examples and illustrations to help deepen readers' understanding and generate new ideas. Offering a detailed guide to the state of the art in systems interoperability, the book will be of great value to all engineers and computer scientists working in manufacturing and other process industries, and to software engineers and electronic and manufacturing engineers working in academic settings.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-24771-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c402132 _d402132