A Service-Based Production Ecosystem Architecture for Industrie 4.0
dc.contributor.author | Kuhn, Thomas | |
dc.contributor.author | Sadikow, Siwara | |
dc.contributor.author | Antonino, Pablo | |
dc.date.accessioned | 2021-04-23T09:25:49Z | |
dc.date.available | 2021-04-23T09:25:49Z | |
dc.date.issued | 2019 | |
dc.description.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. | de |
dc.identifier.doi | 10.1007/s13218-019-00589-y | |
dc.identifier.pissn | 1610-1987 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s13218-019-00589-y | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36226 | |
dc.publisher | Springer | |
dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 33, No. 2 | |
dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
dc.subject | Industrie 4.0 | |
dc.subject | Self-optimizing | |
dc.subject | Self-reconfigurable | |
dc.subject | Service-based production | |
dc.subject | SoA | |
dc.title | A Service-Based Production Ecosystem Architecture for Industrie 4.0 | de |
dc.type | Text/Journal Article | |
gi.citation.endPage | 169 | |
gi.citation.startPage | 163 |