The cost of poor quality in out-of-control intervention is rarely visible in any single budget line. Improvement in this part of quality and productivity management that is not measured tends to be reversed quietly. Sessions alternate between guided analysis of this aspect of quality and productivity management and supervised application. The professional literature on out-of-control intervention converges on a small set of controls that reliably work. Participants finish able to explain this part of quality and productivity management to a non-specialist audience without losing precision. This programme builds the wider quality and productivity management agenda from first principles, without padding and without omitting what matters. Most organisations already have a policy on out-of-control intervention; far fewer can show it working. Participants who influence this part of quality and productivity management without directly controlling it will find the content directly usable. The final module sets out how progress on this strand of quality and productivity management will be evidenced six months later.
Expected Learning Outcomes
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Benchmark out-of-control intervention against comparable operations honestly.
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Assign clear ownership for each element of out-of-control intervention across the functions involved.
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Establish what evidence would demonstrate that out-of-control intervention is under control.
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Prepare the evidence required for external certification of out-of-control intervention.
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Build a continuous improvement routine around out-of-control intervention that survives busy periods.
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Design the internal audit programme covering out-of-control intervention.
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Compare the organisation's handling of out-of-control intervention with recognised practice, and close the material gaps.
Who Should Attend
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Technical staff being prepared for supervisory responsibility over out-of-control intervention.
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Training officers building problem-solving capability in out-of-control intervention.
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Production and operations supervisors delivering out-of-control intervention.
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Analysts producing the data on which decisions about out-of-control intervention rest.
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Process and industrial engineers redesigning out-of-control intervention.