In production, despite consistent process design, it often happens that varying results are achieved: for example, process times may differ from batch to batch; sometimes a process needs some additional manufacturing steps; or failures interrupt regular recipe execution. In analyzing such unforseeable effects, you are supported by INOSIM Statistical Analyzer.

Common use cases are:

• Unit failures
• Deviations due to the aging of machines
• Variations in recipe execution

As an integrated plug-in, INOSIM Statistical Analyzer is embedded into your INOSIM simulation application. Hence, you are enabled to apply statistical fluctuations to your already existing simulation model.

Helpful features support your analysis:

• Optionally, adjust the number of simulation runs.
• Apply default and/or user-defined criteria for the evaluation of results.
• You are enabled at any time to interrupt the statistical analysis in order to check out random samples.

By default, INOSIM Statistical Analyzer provides you with the following parameters for the evaluation of executed simulation runs:

• Duration of the simulated production
• Total cost of the simulated production

Moreover, defining your own parameters is quite easy. Analyze the effects of your plant´s behavior on:

• Production rates and product mix
• Waiting times and delivery reliability
• Failure frequences and maintenance needs
• Unit utilization
• Filling levels of storage tanks

When you are simulating random processes, it is always important to keep your results reproducable. The repeatability of simulation runs for diagnostic purposes, for verification, or for further analysis must be given at any time.

INOSIM Statistical Analyzer therefore provides you with reproducable random numbers. So you ensure identical start conditions for the repetition of crucial simulation runs.