Visualization software

modelinganalysisstatistical

Overview
Minitab’s Process Simulation Analysis Module centralizes tools to analyze, visualize, and compare simulation outputs using real process data. Apply distribution identification, time series and DOE techniques, and interactive visualizations to turn simulation results into actionable insight for process improvement.

Key capabilities and tools

• Distribution identification and probability distribution plots
• Time series analysis
• Design of Experiments (DOE) applied to simulation outputs
• Interactive charts for filtering, grouping, and slicing results
• Predictive modeling
• Scenario creation, comparison and run-level analysis

Explore Simulation Results
Create and customize interactive charts to visualize simulation output. Filter, group, and slice results to compare scenarios, focus on specific operating conditions, and reveal patterns that explain process performance.

Compare Variation Across Scenarios
Compare results from multiple scenarios and runs to assess how variation changes with different process options. Identify the best-performing scenario and evaluate consistency of expected outcomes before implementing changes.

Design of Experiments
Set up designed experiments to investigate systematically which process or product variables impact performance and quality. Use DOE on simulation outputs to prioritize inputs and support data-driven improvement decisions.

On-Demand Assistance
Guided tools and built-in resources help prepare data, choose appropriate analyses, interpret results, and compare scenarios with confidence.

Technical characteristics / specifications

• Product type: Minitab Statistical Software add-on
• Main functions: distribution identification, probability plots, time series analysis, DOE, interactive visualization, predictive modeling, scenario comparison
• Intended use: analyze simulation output, compare scenarios, reduce variation, support continuous improvement
• Typical outputs: interactive charts, distribution and time series plots, DOE results, scenario comparison metrics
• Guidance: includes guided tools and built-in resources to prepare data and interpret results