WORKSAMP · LEARNING RESOURCES

Industrial management

Tools, organization and context for putting a study into practice.

What do you need to work on?

Sample size, precision, confidence intervals and the limits of inference.

Observation plans, categories, routes and reliable data capture.

Proportions, time, capacity and improvement decisions grounded in data.

Examples and limits in manufacturing, maintenance and services.

Tools, organization and context for putting a study into practice.

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Analyse waiting and blocking in unbalanced lines using flow data and contextualised observations.

What offline capture offers and the limits of synchronisation, notifications and local data retention.

Define time allowances, document their calculation basis and avoid counting rest or delays twice.

Differences between estimating activity proportions and measuring cycle times, and when to combine both methods.

What work sampling is, what it can estimate and the design and interpretation needed for a useful application.

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