Micro-stops and Their Impact on Performance
Estimate time lost to minor stops, understand duration measurement and relate the findings to equipment performance.
WORKSAMP · LEARNING RESOURCES
Work Sampling guides
Practical guides to design observations, interpret results and apply work sampling with clear assumptions.
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Statistical foundations
Sample size, precision, confidence intervals and the limits of inference.
Explore guidesStudy design
Observation plans, categories, routes and reliable data capture.
Explore guidesResults and decisions
Proportions, time, capacity and improvement decisions grounded in data.
Explore guidesIndustry applications
Examples and limits in manufacturing, maintenance and services.
Explore guidesIndustrial management
Tools, organization and context for putting a study into practice.
Explore guidesArticles and practical examples
Showing 61–72 of 92
CAPEX vs OPEX Diagnosis with Work Sampling
Use activity findings to assess investment and operating alternatives without promising automatic financial returns.
Estimating the Proportion 'p' to Start a Study
Choose an initial proportion for study planning and understand the limits of adapting the sample from a pilot.
Difference Between Delay and Unproductive
Distinguish delays, necessary activities and inactivity using definitions that avoid judging the people observed.
P-Charts for Validating Studies
Use a p-chart with defined subgroups, comparable denominators and suitable control limits.
Randomness: The Key to Statistical Validity
Select observation times and understand why randomness, independence and absence of bias are different concepts.
Multi-Subject Studies: Observing Complete Teams
Observe whole teams while distinguishing visits, recorded participants and statistical units of analysis.
The MECE Principle in Methods Engineering
Define mutually exclusive, collectively exhaustive categories and check their consistent use by observers.
VA/NVA Taxonomy: Classifying Activities
Classify value-adding work, support and losses without automatically equating activity with productivity.
The Domino Effect of Interferences in Production
Investigate how waiting spreads between stations without confusing observed associations with causal relationships.
Introduction: The Hidden Cost of Bottlenecks
Investigate capacity constraints using observations, flow, queues and comparable production data.
Measuring OEE without Sensors: A Cost-Effective Approach
Data needed to calculate OEE without sensors and ways to complement records with activity observations.
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