Calculating and Testing a WIP Target
Estimate average WIP using Little’s law and distinguish it from an inventory target or protective buffer.
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Proportions, time, capacity and improvement decisions grounded in data.
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Estimate average WIP using Little’s law and distinguish it from an inventory target or protective buffer.
A simulated industrial audit: example data and conditions for estimating released capacity, benefits and returns.
Calculate study costs, benefits and returns while separating released capacity, realised savings and financial assumptions.
Prepare a work sampling study in a small business: scope, categories, observations, interpretation and follow-up decisions.
What buffers and WIP observations reveal, how to apply Little’s law and what data are needed to size them.
Build and interpret a delay Pareto chart without treating the 80/20 rule as a law every dataset must follow.
Distinguish planned and unplanned delays and keep consistent denominators when calculating indicators.
Compare workloads using observations, time coverage and complementary measures before reallocating tasks.
Estimate time per unit from sampling and identify the production, rating and allowance data required for standard time.
Estimate time lost to minor stops, understand duration measurement and relate the findings to equipment performance.
Use activity findings to assess investment and operating alternatives without promising automatic financial returns.
Distinguish delays, necessary activities and inactivity using definitions that avoid judging the people observed.
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