Cost of quality: what getting it wrong actually costs
Cost of quality adds up prevention, appraisal and failure. Why the invisible categories dominate, how to estimate them, and what the ratio tells you.
Lead time is how long something actually takes from order to arrival. How to measure it rather than quote it, why the average is the wrong figure, and what variation costs.
Lead time is the elapsed time between asking for something and having it. It sounds like a supplier characteristic and behaves like a planning input: almost every stock decision, promise to a customer and production schedule rests on a lead time somebody wrote down once, from a quotation, and never checked against what happened.
Planning on an average lead time means being short roughly half the time. What matters for anybody holding stock is the spread: if deliveries usually take ten days but occasionally eighteen, the buffer has to cover eighteen, and the average of eleven tells you nothing useful. Record the distribution rather than the mean — three or four past orders are enough to see whether a supplier is consistent or merely consistent on average — and plan against a high percentile for anything where running out is expensive.
Measure from your own order history rather than asking. Suppliers quote their intention and deliver their history, and the difference between those two numbers is where stockouts live. Nobody quotes a longer lead time than they hope to achieve.
The parts you own are usually the cheapest to fix. Approval delays, batching orders until somebody gets round to it, waiting for a monthly purchasing cycle and inspection backlogs at goods-in are all internal, all invisible in a supplier's figure, and all routinely add more days than the supplier does. Measuring the internal segment separately is what makes that visible, and it is the segment nobody tracks because it never appears on an invoice.
Ettex Sheets holds the measured figures per supplier and item — order date, promised date, actual arrival, and the spread that follows — which is what any reorder calculation needs underneath it. The buffer sized from that distribution is what turns a lead time into a stock level rather than an estimate.
Measured from your own order history. Quoted figures describe intention; three or four past orders show what actually happens.
Because planning on an average means being short about half the time. Plan against a high percentile where running out is expensive.
Not necessarily. A consistent longer lead time is often more valuable than a shorter unpredictable one, because the buffer exists to cover variation rather than length.
Cost of quality adds up prevention, appraisal and failure. Why the invisible categories dominate, how to estimate them, and what the ratio tells you.
Payback period measures how quickly an investment returns its cost. How to calculate it, what it deliberately ignores, and when it is the right test.
First pass yield measures what got through without rework. Why it is harsher than scrap rate, how to calculate it across steps, and what a high figure can conceal.