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A Service-Based Production Ecosystem Architecture for Industrie 4.0

 
: Kuhn, Thomas; Sadikow, Siwara; Antonino, Pablo

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Künstliche Intelligenz : KI 33 (2019), Nr.2, S.163-169
ISSN: 0933-1875
ISSN: 1610-1987
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
01IS16022; BaSys
Englisch
Zeitschriftenaufsatz
Fraunhofer IESE ()
Service-based production; SoA; Industrie 4.0 ; Self-optimizing; Self-reconfigurable

Abstract
Changeability is one major goal of Industrie 4.0. Existing production architectures limit changeability, because programmable logic controllers (PLC) that are responsible for the execution of real-time production steps also define the order of production steps that are executed for every product. PLC programming therefore implicitly defines the production process. Consequently, any change of a production process requires changes in PLC code, causes potential side effects due to unknown controller dependencies, and requires extensive testing. We propose a service-based architecture approach that encapsulates production steps into re-useable services. Production cells invoke services, and comparable to multi-agent systems autonomously decide about optimal service invocations based on shared information. In this article, we outline our service-based architecture concept and describe a use-case that illustrates the decentral organization of production systems and the cooperative optimization of production steps.

: http://publica.fraunhofer.de/dokumente/N-552615.html