Standardise work in statistical deviation analysis without removing necessary judgement.
Building Models to Analyse Statistical Deviations from Acceptable Limits
A working programme in statistical deviation analysis for managers who have to deliver with existing resources.
📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most defects in statistical deviation analysis are designed in long before they are detected. Variation in this strand of quality and productivity management is the enemy; averages conceal it. It establishes a shared vocabulary for the quality and productivity management capability so that teams can disagree productively about it. Participants apply statistical deviation analysis to their own operating process throughout, so the output is directly usable. The course leaves participants able to diagnose weaknesses in this part of quality and productivity management before they become incidents. Mature organisations treat the wider quality and productivity management agenda as a standing capability rather than a project that finishes. Participants who influence statistical deviation analysis without directly controlling it will find the content directly usable. What blocks progress on the quality and productivity management discipline is usually unclear ownership rather than unclear intent. The course ends by identifying what the participant will stop doing to make this area of quality and productivity management sustainable.
Expected Learning Outcomes
Design the internal audit programme covering statistical deviation analysis.
Draw practical lessons from failures in statistical deviation analysis without assigning blame that suppresses reporting.
Link improvement in statistical deviation analysis to a financial outcome leadership recognises.
Apply structured problem solving to recurring defects in statistical deviation analysis.
Integrate statistical deviation analysis into existing management routines rather than running it separately.
Handle the trade-offs in statistical deviation analysis between speed, cost and assurance explicitly rather than implicitly.
Who Should Attend
Supplier quality engineers assessing inputs to statistical deviation analysis.
Health, safety and environmental staff whose systems integrate with statistical deviation analysis.
Analysts producing the data on which decisions about statistical deviation analysis rest.
Process and industrial engineers redesigning statistical deviation analysis.
Members of committees that take decisions affecting statistical deviation analysis.
Certification and accreditation coordinators preparing evidence on statistical deviation analysis.
Course Modules
Statistical deviation analysis: internal audit and certification evidence
2 sessions · 8 pointsSession 1Getting other functions to support statistical deviation analysis
- Agree what will be standardised in statistical deviation analysis and what will not.
- Confirm that reporting on statistical deviation analysis reaches the people who can act.
- Compare the cost of statistical deviation analysis with the cost of its absence.
- Prepare the response for the most likely failure in statistical deviation analysis.
Session 2Costing poor quality in statistical deviation analysis
- Establish the boundary of statistical deviation analysis and record what sits outside it.
- Verify that improvements to statistical deviation analysis held six months later.
- Rank the weaknesses in statistical deviation analysis by consequence rather than by ease of fixing.
- Reduce the variation in how statistical deviation analysis is carried out between teams.
Statistical deviation analysis: standard work and sustaining gains
2 sessions · 8 pointsSession 1Solving the defect in statistical deviation analysis that keeps returning
- Design the internal audit schedule covering statistical deviation analysis.
- Agree the smallest change to statistical deviation analysis that would be visibly useful.
- Benchmark statistical deviation analysis against a comparable operation and record the gap.
- Set out how exceptions to statistical deviation analysis are requested and approved.
Session 2Reading the current state of statistical deviation analysis honestly
- Measure current variation in statistical deviation analysis before attempting improvement.
- Identify non-value-adding steps in statistical deviation analysis and remove them.
- Link the improvement in statistical deviation analysis to a financial figure leadership recognises.
- Define quality for statistical deviation analysis in terms the customer would recognise.
Statistical deviation analysis: mapping the process as actually performed
2 sessions · 8 pointsSession 1Benchmarking statistical deviation analysis without flattering yourself
- Define supplier quality requirements affecting inputs to statistical deviation analysis.
- Write standard work for statistical deviation analysis with the people who perform it.
- Collect evidence on the present handling of statistical deviation analysis before proposing changes.
- Establish what evidence demonstrates statistical deviation analysis is under control.
Session 2Auditing statistical deviation analysis to improve it, not to pass
- Identify the few causes responsible for most defects in statistical deviation analysis.
- Calculate the cost of poor quality attributable to statistical deviation analysis.
- Build a control plan for statistical deviation analysis identifying what is checked, when and by whom.
- Arrange the handover of statistical deviation analysis so capability survives staff changes.
Statistical deviation analysis: structured problem solving and root cause
2 sessions · 8 pointsSession 1Mapping statistical deviation analysis as it is done, not as it is written
- Choose productivity measures for statistical deviation analysis that do not reward shortcuts.
- Record the rationale for each significant choice made about statistical deviation analysis.
- Estimate the resource statistical deviation analysis requires to run as designed.
- Identify single points of dependency in statistical deviation analysis and reduce them.
Session 2The hard cases in statistical deviation analysis and how to reason about them
- Train the team handling statistical deviation analysis in the problem-solving method being used.
- Establish who is informed, consulted and accountable in statistical deviation analysis.
- Record what was tried on statistical deviation analysis and did not work, and why.
- Set the review cadence that sustains gains in statistical deviation analysis.
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
Complete your registration
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