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PROSIM simulates the set-up / run / adjust / re-run cycle of scientific experiments or production processes, including their inherent variability. Use data from your own experiments or processes - or explore some hypothetical ones. You can achieve during a single sitting what would take many times longer in the lab. Minimum cost. Maximum benefit.

• Demonstrate to others the value of combining DoE with process knowledge
• Facilitate the investigation of physical processes realistically, using case studies that are relevant to you and your team

PROSIM is an ideal training companion for DoE or Design for Six Sigma programs and software. Pharmaceutical companies use PROSIM to explore the design of new drug formulations through to production, transfer & manufacture. Biotechnology and Analytical laboratories use it to demonstrate Method Development and Validation.

PROSIM QuickTour

1. About Model Scenarios

In PROSIM, the model that represents the experiment or process that is being simulated is called a Model Scenario. Within each Model Scenario are held all the parameters that define the experiment or process, including its inherent variability. A Model Scenario is defined using the following parameters:

• Factors: up to 10 allowed; either numeric or categoric. e.g. temperature, time, concentration
• Responses:  up to 10 allowed; min, max, avg, noise, measurement units
• Model Coefficients: the effects (primary, quadratic, interaction) of each factor in producing the results
• Coefficients for Propagation of Error: to determine how error (or noise) is propagated within the scenario
• Success Criteria: against which to measure whether the results of the experiment are successful

PROSIM is delivered with a sample Model Scenario, ready to run. 

2. Running a Model Scenario

To run a model scenario:

• simply choose an input value for each of the Factors (Process Variables) and hit the Run Experiment button
• PROSIM generates and displays the Response(s) with colour coding to show whether the criteria for success have been met. Green=Yes, the response meets/exceeds the criteria for success. Red=No, the response fails to meet the criteria for success
• repeat the experiment by selecting new input values for the factors and hit the Run Experiment button again
• or repeat the experiment with the same input values to explore the effect of noise/variability in the scenario

3. View Results

You can view the Results Table at any stage by selecting the menu Analysis>View Results Table. For each run, you’ll be able to see the input values, the responses and whether or not the target criteria were met.

4. Importing Designs

You can import a design layout (i.e. factors and their settings) that has been created previously in your favourite DoE package. When you click the Fit Design to Model button, PROSIM generates the responses for each of the imported run settings, colour-coding the responses against the criteria for success as before.

5. Exporting Result Data

From the PROSIM Results Table, you can copy and paste into a statistical package for detailed analysis. Either Reponses Only or both Factors and Responses may be exported.