PT Journal
AU Gärtner, H
   Lonsdorfer, M
   Maßmann, M
   Peters, M
   Theiß, T
TI Decentralized Manufacturing Control Implementation in a Cyber-Physical Test Field
SO Logistics Journal : nicht referierte Veröffentlichungen
PY 2022
VL 2022
IS 06
DI 10.2195/lj_NotRev_gaertner_en_202206_01
DE autonomous guided vehicle; cyber-physical production systems; cyber-physical systems; decentral control; decision-making; dezentrale Produktionssteuerung; agent theory; Message Queue Telemetry Transport (MQTT)
AB How can a decentralized manufacturing control concept be implemented and bring about success? To answer this question, a cyber-physical test field is under development at the University of Applied Sciences Hamburg, Germany.  This article gives insight into the test field for decentral manufacturing control which can be represented as a “swimming pool” model. This analogy focuses on the freedom of the production orders to decentrally negotiate among each other on scarce resources such as the machines and the transport capacity. The transport means are automated guided vehicles (AGV) which allow the production orders to move freely within the limits of the pool, namely the production itself. Production orders should cross the pool from order release on the left side to order completion on the right side of the pool using the AGVs. Though, production orders may negotiate independently about the scarce machining capacities. Equipped with given customer priorities, a production order may want to bargain for a swimming lane with expensive but fast CNC machining capacity, while a different order may prefer a parallel swimming lane offering an inexpensive but slow conventional machining service.  – Our research in this field has shown that a well-organized communication process between all entities in the system is crucial to implementing such a decentrally organized swimming pool model. Therefore, this article focuses on describing a negotiation mechanism to support decision making between those entities. Technical enablers such as an MQTT communication broker and a suitable simulation environment are supporting the overall concept. It is to be learned to what extent all decentralized entities of the cyber-physical production system act in a resource-conserving and value-adding manner.
ER