Quality & Six Sigma 01
Calculate Defects Per Million Opportunities to measure and benchmark your process quality against Six Sigma performance standards.
QualitySix Sigma3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 02
Convert your defect rate or process yield into a Sigma Level to understand where your process sits on the Six Sigma performance scale.
QualitySix Sigma1 input*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 03
Paste your process data and instantly calculate UCL, CL and LCL for I-MR or X̄-R charts.
QualitySPCData paste*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 04
Calculate the sample size for pass/fail data using zero-acceptance sampling, proportion estimation, or observed-defects confidence interval analysis.
QualityAcceptance Sampling3 modes*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 05
Paste your defect or cost data, rank categories from largest to smallest, and instantly visualise the Pareto principle.
QualityAnalysisData paste*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 06
Calculate the cumulative first-pass yield across multiple process steps to find your true end-to-end quality rate.
QualitySix Sigma2+ inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 07
Quantify the total financial impact of defects, rework, scrap, and warranty costs across your operation.
QualityFinance4 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 08
Measure process capability and centring using Cp and Cpk indices to assess whether your process meets specification limits.
QualityCapability3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Quality & Six Sigma 09
Measure long-term process performance using overall standard deviation to assess whether your process meets specification limits.
QualityPerformance3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 01
Paste your data to instantly visualise the five-number summary, IQR, whiskers, and outliers.
StatisticsAnalysisData paste*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 02
Calculate mean, variance, and standard deviation for a dataset with step-by-step workings shown.
Statistics1 input*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 03
Determine the minimum sample size needed for continuous or attribute data given your confidence level and margin of error.
StatisticsSampling3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 04
Calculate the probability of exactly k successes in n trials given a fixed probability p.
StatisticsProbability3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 05
Perform a one-sample or two-sample t-test and get the p-value, t-statistic, and decision at your chosen significance level.
StatisticsHypothesis Testing3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 06
Upload a CSV or Excel file, select a numeric column, and get a full Minitab-style analysis with descriptive statistics, normality test, histogram, and box plot.
StatisticsFile upload*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 07
Calculate the confidence interval for a population mean or proportion given sample data.
StatisticsEstimation3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 08
Paste two columns of data to calculate Pearson r, R², and the regression equation with a live scatter plot.
StatisticsRegressionData paste*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Statistics 09
Convert a raw score to a Z-score and find the corresponding probability or percentile.
Statistics3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Manufacturing 01
Calculate Overall Equipment Effectiveness by breaking performance down into Availability, Performance and Quality.
LeanManufacturing3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 01
Find the pace at which your process must produce one unit to exactly match customer demand.
LeanPlanning2 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 02
Calculate average cycle time from total production time and units produced.
LeanPlanning2 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 03
Break down total lead time into processing, waiting, and transport components to identify where delays are hiding.
LeanFlow3 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 04
Calculate the ratio of value-added time to total lead time to understand how lean your process really is.
LeanEfficiency2 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 06
Quantify the financial and capacity gains from reducing changeover time.
LeanPlanning4 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
Lean & Planning 07
Translate available time, cycle time and OEE into a realistic capacity figure.
LeanCapacity4 inputs*
Simulation Lab
Interactive scenario inside.
Real numbers. Real context. Making things simple.
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