Performance and Life Cycle Management - Using simulation to forecast and control the future of systems
Creating sustainable success requires permanent and continuous performance. Given this, performance optimisation is critical. It is also closely associated with complex interactions with operational profiles, the availability and logistics of spare parts, and repair and maintenance programmes. By interconnecting these parameters and key performance indicators (KPIs), including costs, production and performance figures, resource demand, profits etc., in an intelligent manner, complex optimisation possibilities are revealed. Simulation methods that forecast the impacts of measures and thus permit transparent assessment of the efficiency of various options are invaluable tools, supporting technologically correct and cost-effective decisions.
A critical aspect in performance optimisation is the definition of performance dependencies and regulators that contribute to optimisation.
Given this, some questions, such as the following, should be answered in advance: What are the factors on which my system depends? Which components must be serviced and maintained, and at what intervals? How do I currently manage my inventory of spare parts? How high is my current input of resources? What framework conditions must be observed? What are my contractual obligations?
Starting from the analysis of the actual condition, scientifically sound simulation methods are applied to optimise these targets.
Applications in practice concern
- Aviation, road and rail transport
- Production and process engineering
- Port operations
- Semiconductor production