Study productivity using statistically grounded random observations. Compare working, idle, and delay patterns across shifts. Turn sample counts into reliable utilization insights for improvement.
| Study | Total Observations | Working | Delay | Idle | Utilization |
|---|---|---|---|---|---|
| Assembly Line A | 240 | 186 | 21 | 33 | 77.50% |
| Machining Cell B | 300 | 231 | 24 | 45 | 77.00% |
| Packaging Station C | 180 | 129 | 18 | 33 | 71.67% |
Observed utilization: p = Working Observations ÷ Total Observations
Idle proportion: Idle % = (Idle Observations ÷ Total Observations) × 100
Delay proportion: Delay % = (Delay Observations ÷ Total Observations) × 100
Standard error: SE = √[p(1 − p) ÷ n]
Confidence interval: p ± z × SE
Required samples: n = (z² × p × (1 − p)) ÷ e²
Observed working hours: Total Study Hours × p
Normal time: Observed Working Hours × Performance Rating
Standard time: Normal Time × (1 + Allowance)
This approach helps estimate how much time a worker or machine spends in productive, idle, or delayed states through random observations.
Work sampling is a statistical method using random observations to estimate how often a worker, team, or machine is productive, idle, or delayed.
Use work sampling when activities are irregular, long-cycle, or difficult to measure continuously. It works well for utilization, allowances, and multi-activity environments.
Delay observations separate stoppages from pure idle time. This helps engineers identify controllable process losses and distinguish waiting from non-working availability.
The confidence interval shows a likely range for the true utilization proportion. Higher sample counts usually narrow the interval and improve decision reliability.
Required samples depend on observed utilization, selected confidence level, and allowable error. Smaller error targets or higher confidence levels increase sample needs.
Performance rating adjusts observed working time to normal time. It helps convert raw utilization findings into a more standardized performance estimate.
Allowance percentage expands normal time into standard time. It accounts for fatigue, personal needs, and unavoidable delays in practical engineering studies.
Yes. The same method can estimate machine utilization, waiting time, and delay patterns, provided your observation categories are clearly defined beforehand.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.