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Quality & Production Tools
Quality control and production management calculators
Available Tools
OEE Calculator
: Calculate Overall Equipment Effectiveness
PPM / Sigma Converter
: Convert between defect rate, PPM, and sigma level
Takt Time Calculator
: Calculate takt time from demand and available time
Cpk Calculator
: Calculate process capability index (Cp, Cpk)
Downtime Cost Calculator
: Calculate the total cost of production downtime
AQL Sampling Calculator
: Calculate sample size and accept/reject numbers based on AQL standards
MTBF/MTTR Calculator
: Calculate Mean Time Between Failures and equipment availability
RPN Calculator (FMEA)
: Calculate Risk Priority Number for failure mode analysis
DPMO Calculator
: Calculate Defects Per Million Opportunities and Sigma Level
Ppk Calculator
: Calculate process performance index (Pp, Ppk) using overall standard deviation
Pareto Analysis
: Identify the vital few causes with ABC classification and cumulative percentage (80/20 rule)
FPY / RTY Yield Calculator
: Calculate First Pass Yield per step and Rolled Throughput Yield across all process steps
Cycle Time Analyzer
: Statistical analysis of cycle time measurements: average, range, standard deviation, and distribution
Machine Capability Index (Cmk)
: Calculate machine capability index from measurement data with specification limits
Weibull Reliability Analysis
: Fit Weibull distribution to failure time data to predict reliability and failure mode
Control Chart (SPC)
: Shewhart XBar-R or XBar-S control chart for statistical process control
DOE Power Calculator
: Calculate statistical power for factorial experiment designs
DOE Design Generator
: Generate design matrices for various experimental designs
Job Dispatching Simulator
: Simulate single-machine scheduling with priority dispatching rules
Parallel Machine Scheduling
: Schedule jobs across multiple parallel machines
DOE Effects Analyzer
: Analyze main effects and interactions from factorial experiments
Taguchi Robust Design
: Compute Signal-to-Noise ratios for Taguchi experimental analysis
Normality Test
: Test if your data follows a normal distribution
Outlier Detection
: Detect anomalies in numeric data using Isolation Forest
Distribution Fitting
: Fit probability distributions and assess normality
LOF Anomaly Detection
: Detect anomalies using Local Outlier Factor
RSM Optimization
: Fit response surface model and find steepest ascent path
Desirability Optimization
: Compute Derringer-Suich desirability for multiple responses