Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s13218-019-00589-y | KI - Künstliche Intelligenz |
Keywords | Field | DocType |
Service-based production, SoA, Industrie 4.0, Self-optimizing, Self-reconfigurable | Architecture,Control theory,Software engineering,Computer science,Scheduling (production processes),Programmable logic controller,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
33 | 2 | 0933-1875 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Kuhn | 1 | 90 | 16.33 |
| Siwara Sadikow | 2 | 1 | 0.40 |
| Pablo Oliveira Antonino | 3 | 77 | 14.65 |