Quality Engineering Guide

£24.00

Most quality problems are not quality problems. They are process problems that nobody traced back to the source.

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Description

Somewhere in your business there is a rework bench that has become permanent. It has its own people, its own rhythm, its own quiet place in the standard cost. Nobody calls it a problem any more. That is how a business builds failure into its own routine and then calls it normal.
This guide shows you how to stop paying for the same mistake twice.
Quality has a precise meaning: meeting the requirement, every time, at the lowest cost of getting it right. Not good. Not better. Conformance to something you can measure. Get that definition wrong and every pound you spend on quality goes to the wrong place, which is why most manufacturers spend heavily on inspecting and reworking while spending almost nothing on prevention.
Twelve chapters, each one explaining a tool in plain language with an everyday analogy before a single technical term is used. The four costs of quality and why the cheap one is the one nobody budgets for. Right First Time and how to measure it honestly, including the rework nobody logs. FMEA scored through a worked example that takes a risk number from 360 down to 32. Error proofing, and the ladder of controls from strongest to weakest, which will change how you respond to the next defect. Five whys. Statistical variation and why adjusting the machine after every part makes things worse. Why inspection is the weakest control you can choose. Standard work. Closing the loop on field failures. ISO 9001 as a real system rather than a folder. And what a recall of over a thousand fire doors actually costs.
The proof behind it: Right First Time lifted from 70% to 99.8% across four manufacturing sites, recovering around £700,000, with goods in inspection eliminated entirely by fixing suppliers at source.
Then load it into your AI. Upload the PDF into a ChatGPT, Claude or Gemini project and it becomes a quality engineering decision tool. Give it your defect data and it interrogates it. It hunts root cause instead of symptom. It pushes prevention over inspection every time. It refuses to accept a quality claim you cannot back with a number, and it will not let you add an inspector where the error could be designed out instead.
17 pages. PDF. Works with ChatGPT, Claude and Gemini.