NIS2 and Industrial Time Tracking: Audit Logs
How time-record traceability may relate to cybersecurity and why it does not by itself establish NIS2 compliance.
WORKSAMP · LEARNING RESOURCES
Practical guides to design observations, interpret results and apply work sampling with clear assumptions.
Sample size, precision, confidence intervals and the limits of inference.
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How time-record traceability may relate to cybersecurity and why it does not by itself establish NIS2 compliance.
Considerations for railway records of working time, driving, breaks and handovers, distinguishing presence from actual work.
When to use DMAIC, work sampling or both, according to the improvement question and the data needed for analysis.
Study construction machinery utilisation using clearly defined categories, production data and costs.
Design sampling in precast concrete production with attention to phases, batches, safety and process variability.
Design observations for wind maintenance with attention to access, safety, tasks and study coverage.
Plan an activity study in shipyards with attention to phases, safety, coverage and limits of comparison.
Present proportions, coverage and uncertainty in a dashboard without treating them as direct productivity measures.
Integrate observations into PDCA and assess changes without confusing association with intervention effects.
Calculate study costs, benefits and returns while separating released capacity, realised savings and financial assumptions.
Prepare a work sampling study in a small business: scope, categories, observations, interpretation and follow-up decisions.
Integrate work sampling into DMAIC without confusing observed proportions with process capability or causality.
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