Measure productivity in quality problem prediction without incentivising the wrong behaviour.
Designing Machine Learning Models to Predict Quality Problems
A working programme in quality problem prediction for managers who have to deliver with existing resources.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Improvement in quality problem prediction that is not measured tends to be reversed quietly. Variation in this strand of quality and productivity management is the enemy; averages conceal it. Every module pairs a short input on the quality and productivity management capability with structured practice on the participant's own material. The result is the confidence to make and defend decisions about quality problem prediction under scrutiny. Ambition around this aspect of quality and productivity management outruns capacity unless the sequencing is deliberate. Comparative studies of this strand of quality and productivity management across sectors find the same handful of failure points recurring. Participants leave with a method for quality problem prediction, not a set of opinions about it. It is written for people who have to make this part of quality and productivity management work with the resources they already have. Participants leave with a plan for the quality and productivity management capability sized to what their organisation can realistically absorb.
Expected Learning Outcomes
Agree the first three actions on quality problem prediction that will be taken on returning to work.
Establish supplier quality requirements affecting quality problem prediction.
Design the internal audit programme covering quality problem prediction.
Review contracts and agreements for the obligations they create around quality problem prediction.
Build a register of the risks attaching to quality problem prediction and keep it current.
Build a continuous improvement routine around quality problem prediction that survives busy periods.
Who Should Attend
Continuous improvement specialists working on quality problem prediction.
Staff seconded into improvement work on quality problem prediction.
Quality managers and coordinators responsible for quality problem prediction.
Quality staff verifying that quality problem prediction performs as designed.
Department managers accountable for productivity of quality problem prediction.
Finance staff quantifying the cost of quality in quality problem prediction.
Course Modules
Quality problem prediction: structured problem solving and root cause
2 sessions · 8 pointsSession 1The cost of quality problem prediction and how to present it
- Map the handovers in quality problem prediction between functions and secure them.
- Write standard work for quality problem prediction with the people who perform it.
- Choose productivity measures for quality problem prediction that do not reward shortcuts.
- Check that records of quality problem prediction answer the questions likely to be asked.
Session 2Sustaining the gain on quality problem prediction after the project ends
- Define quality for quality problem prediction in terms the customer would recognise.
- Check that quality problem prediction still works when volumes rise unexpectedly.
- Identify non-value-adding steps in quality problem prediction and remove them.
- Calculate the cost of poor quality attributable to quality problem prediction.
Quality problem prediction: waste, flow and productivity
2 sessions · 8 pointsSession 1Solving the defect in quality problem prediction that keeps returning
- Design the internal audit schedule covering quality problem prediction.
- Verify that improvements to quality problem prediction held six months later.
- Estimate the resource quality problem prediction requires to run as designed.
- Rehearse the briefing on quality problem prediction that would follow an incident.
Session 2Escalation and decision rights in quality problem prediction
- Train the team handling quality problem prediction in the problem-solving method being used.
- Verify six months later that changes to quality problem prediction have held.
- Define supplier quality requirements affecting inputs to quality problem prediction.
- Benchmark quality problem prediction against a comparable operation and record the gap.
Quality problem prediction: internal audit and certification evidence
2 sessions · 8 pointsSession 1Mapping quality problem prediction as it is done, not as it is written
- Establish what evidence demonstrates quality problem prediction is under control.
- Assemble certification evidence for quality problem prediction as work proceeds, not before the audit.
- Define the trigger that would require quality problem prediction to be redesigned.
- Set the review interval for quality problem prediction and who attends.
Session 2Control plans for quality problem prediction that catch problems early
- Measure current variation in quality problem prediction before attempting improvement.
- Apply structured root cause analysis to the top defect in quality problem prediction.
- Map the process behind quality problem prediction by walking it, not by describing it.
- Agree what will be standardised in quality problem prediction and what will not.
Quality problem prediction: cost of poor quality
2 sessions · 8 pointsSession 1Reviewing quality problem prediction when nothing has gone wrong
- Decide what will be stopped to create capacity for quality problem prediction.
- Close out actions on quality problem prediction rather than leaving them open indefinitely.
- Link the improvement in quality problem prediction to a financial figure leadership recognises.
- Record what was learned when quality problem prediction did not go as planned.
Session 2Removing steps from quality problem prediction that add no value
- Record what was tried on quality problem prediction and did not work, and why.
- Set out how exceptions to quality problem prediction are requested and approved.
- Prepare the summary of quality problem prediction that senior management will read.
- Confirm that contractual obligations around quality problem prediction are understood.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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