decentralized production control

In the project CrimpProd-S the integration of decentralized, self-learning production control systems in the context of Industry 4.0 in combination with additive manufacturing is investigated. The overall target is the economic evolutionary integration of lot size 1 in existing production facilities. Therefore a procedure model and customized methods are developed to analyze the potentials regarding the existing company’s strategy, value chain as well as the business model. This integrated procedure guarantees the efficient and customer-oriented transformation.

Cyber-physical systems (CPS) have shaped the discussion about Industrie 4.0 for some time. For ensuring the competitiveness of producing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The succesful transformation of this theoretical construct into the practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brown field character and describes a solution for CPS-extension of existing (legacy) systems.

This contribution deals with potentials for decentralized production control within jobshop production systems. Such potentials are described in exemplary form for LISEGA SE, Zeven (Germany), a medium sized enterprise producing components for technical plant installations. LISEGA plan to modernize their workload oriented order release method. This contribution examines to what degree cyber-physical production systems offer for decentralization and flexibilisation. It discusses the properties of such systems, and their realization by integrated intelligence (data processing capability), communication and sensors.