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Smart cloud manufacturing platform for resource efficiency improvement of additive manufacturing services

 
: Simeone, A.; Caggiano, A.; Zeng, Y.

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Volltext ()

Procedia CIRP 88 (2020), S.387-392
ISSN: 2212-8271
Conference on Intelligent Computation in Manufacturing Engineering (ICME) <13, 2019, Gulf of Naples>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer J LEAPT ()

Abstract
Recent advancements in Industry 4.0 key enabling technologies allow for the dynamic sharing of additive manufacturing services in a cloud manufacturing context, with great potential on resource efficiency improvement at network level. This paper proposes the conceptualization and development of a modular-structured cloud platform to match users' instances generating feasible solutions according to various manufacturing scenarios. The proposed cloud manufacturing platform includes a service modelling and dynamic matching module, an intelligent resource distribution optimization module and a decision-making support module to assist users in characterizing the generated solutions. A simulated case study is reported to exemplify technical and economic advantages for industrial resource efficiency improvement.

: http://publica.fraunhofer.de/dokumente/N-602601.html