Time Study Analysis
Time study is a work measurement technique for recording the times of performing a task's elements, with the objective of determining the time required at a defined level of performance.
Normal Time = (Average Observed Time) × (Performance Rating)
Standard Time = Normal Time × (1 + Allowance Factor)
Standard Time = Normal Time × (1 + Allowance Factor)
Key steps:
- Determine required number of observations
- Record observed times
- Check for and remove outliers
- Calculate normal and standard times
1. Sample Size
2. Time Study
Determine Required Sample Size
Calculate the number of observations needed for a desired confidence level and accuracy.
Sample Size Results
Pilot study distribution will appear here
Time Study Analysis
Analyze your time observations, detect outliers, and calculate normal and standard times.
Time Study Results
Time study distribution will appear here
| Observation | Time | Status |
|---|
Practical Examples
Example 1: Sample Size Determination
Pilot Times: 12.5, 13.2, 11.8, 12.9, 12.3
Confidence: 95% | Accuracy: ±5%
Mean: 12.54 | Std Dev: 0.52 | Required Samples: 11
Example 2: Time Study Analysis
Observed Times: 12.5, 13.2, 11.8, 12.9, 12.3, 15.7, 12.1
Performance Rating: 110% | Allowance: 15%
Outlier: 15.7 (IQR method) | Normal Time: 13.75 | Standard Time: 15.81
Time Study Methods
| Method | Description | When to Use |
|---|---|---|
| Continuous Timing | Recording all elements continuously with a stopwatch | Short cycles, high accuracy needed |
| Snapback Timing | Stopwatch is reset after each element | Long cycles, distinct elements |
| Work Sampling | Random observations to determine time proportions | Long, irregular cycles |
| Predetermined Time Systems | Using standard time data for basic motions | When direct measurement isn't possible |