Filtern
Dokumenttyp
- Konferenzveröffentlichung (3) (entfernen)
Sprache
- Englisch (3)
Gehört zur Bibliographie
- nein (3)
Schlagworte
- Dienstleistung (1)
- Instandhaltung (1)
- Instandhaltungsstrategien (1)
- Instandhaltungstools (1)
- Produktivität (2)
- SiZu (1)
- Simulation (2)
- characteristic curves (1)
- customer (1)
- customer productivity (1)
Institut / FIR-Bereiche
Increasing productivity in product-service systems is a vital success factor for industrialized economies and individual businesses. The service production is typically described as an integrated value chain setting, in which the provider and the customer are co-creators.
This paper embraces a characteristic curve model in order to illustrate the influence of the customer on the productivity of service production. The characteristic curves are derived from a system dynamics simulation model for a synchronized takt-based service production. In conclusion this research leads to designs recommendations for service production systems in order to reduce lead times and increase adherence to delivery dates.
This paper presents a simulation approach for service production processes on the basis of which an optimal operating point for service systems can be identified. The approach specifically takes into account the characteristics of human behavior. The simulation is based on a system theory approach to the service delivery process. A specific use case of the simulation approach is presented in detail to illustrate how characteristic curves are deduced and an optimal operating point is obtained.
Assets of integrated production systems, especially in the heavy industry, are facing high requirements in terms of reliability and availability. In case of component breakdown, the operating firm is confronted with high costs due to downtime and loss of production. Modern maintenance concepts in combination with advanced technologies can help to improve the plant availability and reduce the downtime costs caused by unplanned breakdowns. Against this background, the research institutes FIR and IMR from RWTH Aachen University, Germany, are collaborating within the research project “SiZu”. This project deals with the integration of condition monitoring system and real time simulation to assess the condition of components and to support failure cause analysis.