Two-Stage Orchestration Approach for Plug and Produce Based on Semantic Behavior Models

Due to changing requirements and increasing engineering efforts of manufacturing systems, methods such as plug and produce gain in importance. The ability to adapt to varying product variants and new manufacturing modules can be achieved through cyber-physical production systems. In this context orchestration, the process of selecting suitable manufacturing modules, is a major aspect. Current approaches mostly focus on a functionality matching, not taking into account continuous system aspects such as throughput or energy consumption. This paper presents a two-stage orchestration approach for modular cyber-physical production systems. The manufacturing modules are semantically described regarding their functionality, system interfaces and continuous system behavior. Based on a high-level production process specification, possible variants of actual manufacturing systems are determined. The orchestration algorithm uses weighted scoring functions to calculate the matching degree and thereby enables a ranking. In order to match continuous system behavior and to use it as criterion for orchestration, Semantic Behavior Models (SBM) are introduced.