TY  - GEN
N2  - The scientific theme of the book concerns Manufacturing as a Service (MaaS) which is developed in a layered cloud networked manufacturing perspective, from the shop floor resource sharing model to the virtual enterprise collaborative model, by distributing the cost of the manufacturing infrastructure - equipment, software, maintenance, networking - across all customers. MaaS is approached in terms of new models of service-oriented, knowledge-based manufacturing systems optimized and reality-aware, that deliver value to customer and manufacturer via Big data analytics, Internet of Things communications, Machine learning and Digital twins embedded in Cyber-Physical System frameworks. From product design to after-sales services, MaaS relies on the servitization of manufacturing operations such as: Design as a Service, Predict as a Service or Maintain as a service. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The books readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph. D. students enrolled in Engineering Sciences programs.
DO  - 10.1007/978-3-030-69373-2
DO  - doi
AB  - The scientific theme of the book concerns Manufacturing as a Service (MaaS) which is developed in a layered cloud networked manufacturing perspective, from the shop floor resource sharing model to the virtual enterprise collaborative model, by distributing the cost of the manufacturing infrastructure - equipment, software, maintenance, networking - across all customers. MaaS is approached in terms of new models of service-oriented, knowledge-based manufacturing systems optimized and reality-aware, that deliver value to customer and manufacturer via Big data analytics, Internet of Things communications, Machine learning and Digital twins embedded in Cyber-Physical System frameworks. From product design to after-sales services, MaaS relies on the servitization of manufacturing operations such as: Design as a Service, Predict as a Service or Maintain as a service. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The books readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph. D. students enrolled in Engineering Sciences programs.
T1  - Service oriented, holonic and multi-agent manufacturing systems for industry of the future :proceedings of SOHOMA 2020 /
DA  - 2021.
CY  - Cham :
AU  - Borangiu, Theodor.
AU  - Trentesaux, Damien.
AU  - Leitão, Paulo.
AU  - Cardin, Olivier.
AU  - Lamouri, Samir.
VL  - v. 952
CN  - TS183
PB  - Springer,
PP  - Cham :
PY  - 2021.
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1434746
KW  - Manufacturing processes
KW  - Multiagent systems
KW  - Service-oriented architecture (Computer science)
KW  - Fabrication
KW  - Systèmes multiagents (Intelligence artificielle)
KW  - Architecture orientée service (Informatique)
SN  - 9783030693732
SN  - 3030693732
TI  - Service oriented, holonic and multi-agent manufacturing systems for industry of the future :proceedings of SOHOMA 2020 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69373-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69373-2
ER  -