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020 _a9783319737515
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024 7 _a10.1007/978-3-319-73751-5
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245 1 0 _aService Orientation in Holonic and Multi-Agent Manufacturing
_h[electronic resource] :
_bProceedings of SOHOMA 2017 /
_cedited by Theodor Borangiu, Damien Trentesaux, André Thomas, Olivier Cardin.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVI, 502 p. 198 illus., 168 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v762
505 0 _aArtificial Intelligence, Autonomous Systems and Robotics: Legal Innovations -- Multi-Agent System Architecture for Zero Defect Multi-stage Manufacturing -- Multicriteria Supplier Selection for Supply Chain Management -- Environmental Assessment Using a Lean Based Tool -- A Maturity Framework for Operational Resilience and its Application to Production Control. .
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 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aIndustrial and Production Engineering.
_931644
650 2 4 _aControl, Robotics, Automation.
_931971
700 1 _aBorangiu, Theodor.
_eeditor.
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700 1 _aTrentesaux, Damien.
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_951718
700 1 _aThomas, André.
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_951719
700 1 _aCardin, Olivier.
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710 2 _aSpringerLink (Online service)
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aStudies in Computational Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-73751-5
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