Fewer recurring defects
Address the causes rather than sort the consequences.
Quality · Decision support
Measuring and reducing the cost of poor quality
The cost of poor quality can be measured, and part of its causes can be read in your inspection, complaint and non-conformity data. Assets 4.0 identifies the exploitable opportunities and, where they justify it, builds the analysis solution suited to your data.
On your data
On-site execution possible
From audit to system
Where your poor quality hides
Select
What it could open upTo be confirmed on your data, during the audit
Your objectives
What your quality has to hold
Fewer customer complaints
Catch earlier what ends up reaching the customer.
Compliance held
Audits prepared on facts, not in a last-minute rush.
A controlled cost of poor quality
Measure it first, so you can reduce it next.
The current barrier
The cost is real, its causes stay blurred
Poor quality leaves traces everywhere : scrap, rework, sorting, complaints, audit non-conformities. But those traces live in separate files. The full cost is rarely measured, and tracing a defect back to its cause takes time no one has.
On the line
The same defect comes back every month : where does it come from? The answer is scattered across control sheets, complaints and incident reports.
Where AI could help
Three levers, to be qualified on your data
No generic promise : what follows is what your quality data could enable. The audit determines which of these are genuinely exploitable in your case.
Support root-cause analysis
Cross inspections, complaints and non-conformities to surface likely causes.
Spot recurring defects
Surface the patterns that keep coming back, product by product, line by line.
Make use of quality documents
Make searchable the sheets, certificates and reports that lie dormant in folders.
The AI opportunity audit
We start by measuring and looking at your data
Assets 4.0 analyses your objectives, processes, data and constraints, then identifies and prioritises the opportunities, with a value estimate and a roadmap.
What we look at
The audit
- Your quality objectives and KPIs (cost of poor quality, NC rate, PPM).
- Your data : inspections, complaints, non-conformities, audits.
- Your processes and constraints (standards, on-site).
- The real quality of the available data.
What you receive
The roadmap
- The cost of poor quality measured, and its main items.
- The exploitable opportunities, prioritised.
- A value and feasibility estimate.
- A clear plan, and where to start.
The audit may also conclude that better reporting, a business rule or a simple automation is enough, or that your data is not yet exploitable. That is what makes it an honest diagnosis, not a sales pitch.
The approach
From audit to a system in service
Audit
Cost measured, data, prioritised opportunities, ROI and roadmap.
Design
If an opportunity justifies it, the quality-analysis solution is built on your data.
Deployment
Roll-out on your infrastructure, adoption by the teams, follow-up.
An example
A recurring defect, finally tied to its causes
On a site where control sheets and complaints lived in separate files, the goal was to bring these sources together to see what really recurred. The audit scoped what was exploitable ; bringing the data together surfaced patterns that had stayed invisible.
From scattered traces to causes
The same controls, but connected to understand what recurs.
Frequently asked
What quality managers ask us
How do you measure the cost of poor quality?
From your own data : scrap, rework, sorting time, complaints, non-conformities. The audit brings these items together to rebuild a full cost, often underestimated because it is never consolidated. That is the starting point for prioritising what is worth addressing.
How is this different from our quality controls?
Your controls detect defects. The approach targets the level above : connecting defects to one another and to their context to help understand the causes. It builds on the controls you already run, it does not replace them.
Our quality data is scattered, is that a blocker?
That is exactly what the audit is for : assessing what your data enables, even when split across files and tools. A first scope is often exploitable. If the data is not enough, we say so, and we point out what to structure first.
Do you replace our quality software?
No. We connect to your quality tools and your files to make use of the data. We replace neither your quality system nor your ERP.
Let’s talk about your quality
Measure the cost of your poor quality
Describe your situation : your recurring defects, your data sources, your constraints. We come back to you to scope an opportunity audit.
- An honest diagnosis, not a sales pitch
- On your data, on-site if needed
- From audit to system, if the opportunity justifies it
