000			05155nam a22006135i 4500
999			_c12931 _d12931
001			978-3-319-73751-5
003			DE-He213
005			20211202093450.0
008			180201s2018 gw | s |||| 0|eng d
020			_a9783319737515
040			_cAIKTC-KRRC
041			_aENG
072		7	_aUYQ _2bicssc
072		7	_aTEC009000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
245	1	0	_aService Orientation in Holonic and Multi-Agent Manufacturing _h[electronic resource] : _bProceedings of SOHOMA 2017 /
250			_a1st ed. 2018.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018.
300			_aXVI, 502 p. 198 illus., 168 illus. in color. _bCard Paper
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v762
520			_aThis book gathers the peer-reviewed papers presented at the seventh edition of the international workshop "Service Orientation in Holonic and Multi-Agent Manufacturing - SOHOMA'17", held on October 19-20, 2017 and organized by the University of Nantes, France in collaboration with the CIMR Research Centre in Computer Integrated Manufacturing and Robotics at the University Politehnica of Bucharest, Romania, the LAMIH Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science at the University of Valenciennes and Hainaut-Cambrésis, France and the CRAN Research Centre for Automatic Control, Nancy at the University of Lorraine, France. The main objective of SOHOMA'17 was to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions addressing trends in service orientation of agent-based control technologies with distributed intelligence. The book is organized in eight parts, each with a number of chapters describing research in current domains of the digital transformation in manufacturing and trends in future service and computing oriented manufacturing control: Part 1: Advanced Manufacturing Control, Part 2: Big Data Management, Part 3: Cyber-Physical Production Systems, Part 4: Cloud- and Cyber-Physical Systems for Smart and Sustainable Manufacturing, Part 5: Simulation for Physical Internet and Intelligent & Sustainable Logistics Systems, Part 6: Formal Methods and Advanced Scheduling for Future Industrial Systems, Part 7: Applications and Demonstrators, Part 8: Production and Logistic Control Systems. The contributions focus on how the digital transformation, such as the one advocated by "Industry 4.0" or "Industry of the future" concepts, can improve the maintainability and the sustainability of manufacturing processes, products, and logistics. Digital transformation relates to the interaction between the physical and informational worlds and is realized by virtualization of products, processes and resources managed as services.
650		0	_aMechanical Engineering _94626
653			_aArtificial Intelligence.
653			_aIndustrial and Production Engineering.
653			_aRobotics and Automation.
700	1		_aBorangiu, Theodor. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTrentesaux, Damien. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aThomas, André. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCardin, Olivier. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783319737508
776	0	8	_iPrinted edition: _z9783319737522
776	0	8	_iPrinted edition: _z9783319892573
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v762
856	4	0	_uhttps://doi.org/10.1007/978-3-319-73751-5 _zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942			_cEBOOKS _2ddc