Simulation analysis process is used increasingly in the engineering world to complement experimental and testing programmes or even to substitute them. The reasons for this are economic as the simulation techniques offer greater flexibility in managing 'testing' environment, a faster turn-around time, more comprehensive post-processing options and lower costs. In some cases, safety considerations make physical testing impractical all together.
Although, the simulation analysis approach offers much larger flexibility, it also allows much larger errors to be incorporated in the development process much faster. To avoid mistakes and to mitigate their impact (some of them will inevitably stay undetected), suitable quality assurance (QA) processes need to be set up and implemented with full rigor.
The lecture discusses elements of quality control in simulation analysis environment, its processes and requirements. The emphasis is on clearly definition of achievable objectives, process feedback during and after the project, and client communication.

Files

• Presentation slides (2017/12/25)