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Time study and standard time calculator

Paste the readings for each element, enter the performance rating and allowances, and get the normal time, the standard time, units per hour and whether you timed enough cycles.

Readings and factors

One cycle per line, one element per column, in seconds (4.2) or mm:ss (0:04). The first line may hold the element names. Paste straight from a spreadsheet.
%
100% = normal pace. An operator faster than normal is rated above 100%.
%
As a % of the working day. Allowance factor = 1 ÷ (1 − allowance).
%
E.g. 5 = the mean is within ±5% of the true time.

Result

26.72seconds standard time per unit

Observed time 22.71 s, normal time 22.71 s, allowance factor 1.176.

Enough cycles

7 cycles are needed and the study has 9 valid readings per element.

Output per hour
134.7 units/h
Cycles needed
7
Readings out of range
1

Per element

ElementReadingsMean (s)SD (s)Normal (s)Standard (s)Cycles needed
Pick and place104.40.34.45.187
Screw9 −112.120.6312.1214.264
Inspect and pack106.190.376.197.286
Cycle total22.7122.7126.727

By the range method (R ÷ d2), common in work measurement textbooks, it would be 7 cycles.

Readings per element (gray band = mean ± 2 SD, red = out of range)
Pick and placePick and place · cycle 1: 4.2 sPick and place · cycle 2: 4.8 sPick and place · cycle 3: 4 sPick and place · cycle 4: 4.5 sPick and place · cycle 5: 4.3 sPick and place · cycle 6: 4.9 sPick and place · cycle 7: 4.1 sPick and place · cycle 8: 4.6 sPick and place · cycle 9: 4.4 sPick and place · cycle 10: 4.2 sScrewScrew · cycle 1: 12.1 sScrew · cycle 2: 11.4 sScrew · cycle 3: 12.8 sScrew · cycle 4: 11.9 sScrew · cycle 5: 16.5 sScrew · cycle 6: 12.6 sScrew · cycle 7: 11.2 sScrew · cycle 8: 12.4 sScrew · cycle 9: 13 sScrew · cycle 10: 11.7 sInspect and packInspect and pack · cycle 1: 6 sInspect and pack · cycle 2: 6.6 sInspect and pack · cycle 3: 5.7 sInspect and pack · cycle 4: 6.2 sInspect and pack · cycle 5: 6.4 sInspect and pack · cycle 6: 5.8 sInspect and pack · cycle 7: 6.9 sInspect and pack · cycle 8: 6.1 sInspect and pack · cycle 9: 5.9 sInspect and pack · cycle 10: 6.3 s

How to calculate standard time

A time study turns stopwatch readings into a time you can plan with. Three steps, element by element:

Observed time (OT) = average of the valid readings

Normal time (NT) = OT × rating

Standard time (ST) = NT × allowance factor, with factor = 1 ÷ (1 − allowances)

Term What it is
Element a part of the operation with a clear start and end, like “pick and place” or “screw”
Rating the observed operator’s pace against normal (100%)
Allowances personal needs, fatigue and unavoidable delays, as a % of the working day
Allowance factor with 15%, 1 ÷ 0.85 = 1.176

Mind the allowance convention. This calculator (and TaktZen) treats allowances as a share of the working day: factor = 1 ÷ (1 − p). Some textbooks use factor = 1 + p, treating them as a share of normal time. At 15% the first gives 1.176 and the second 1.15. Stick with the convention your plant already uses.

Output per hour at standard time is 3,600 ÷ ST (in seconds).

How many cycles to time

A few readings give a shaky average. The number of cycles needed depends on how much the readings vary, on the confidence and on the error you accept:

n = ((z ÷ e) × √(n·Σx² − (Σx)²) ÷ Σx)²

where z comes from the confidence (1.645 for 90%, 1.96 for 95%, 2.576 for 99%), e is the relative error (0.05 for ±5%), n is the number of readings taken and x the readings. This is Barnes’ statistical formula, the same one TaktZen uses. Compute it for each element and keep the largest.

Some textbooks use the range method instead: N = (z × R ÷ (e × d2 × x̄))², with R = highest reading − lowest reading and d2 from a table by the number of readings (3.078 for 10). Both usually land close together, and the calculator shows both.

Worked example

The calculator’s values are 10 cycles of an assembly operation with 3 elements, a 100% rating, 15% allowances, 95% confidence and ±5% error.

1. Readings out of range. For “screw”, the 10 readings average 12.56 s with a standard deviation of 1.50 s. The mean ± 2 SD band runs from 9.55 s to 15.57 s, so the 16.5 s reading in cycle 5 is out (a dropped screw, say). It is left out, and the element keeps 9 readings.

2. Observed, normal and standard time.

Element Readings OT NT (× 100%) ST (× 1.176)
Pick and place 10 4.40 s 4.40 s 5.18 s
Screw 9 12.12 s 12.12 s 14.26 s
Inspect and pack 10 6.19 s 6.19 s 7.28 s
Cycle 22.71 s 22.71 s 26.72 s

3. Output per hour. 3,600 ÷ 26.72 = 134.7 units per hour.

4. Cycles needed. For “pick and place”: Σx = 44.0, Σx² = 194.4 and n = 10, so n·Σx² − (Σx)² = 1,944 − 1,936 = 8, and n = ((1.96 ÷ 0.05) × √8 ÷ 44)² = (39.2 × 2.83 ÷ 44)² = 6.35, so 7 cycles. The other elements need 4 and 6. The largest is 7, and every element has at least 9 valid readings: enough cycles.

Had the 16.5 s reading stayed in, “screw” alone would call for 20 cycles. One abnormal reading moves the math a lot, which is why it pays to note what happened in each cycle.

And if the operator had been faster than normal, rated at 110%, the normal time of “pick and place” would be 4.40 × 1.10 = 4.84 s, and its standard time 4.84 × 1.176 = 5.69 s.

How to read the result

  • Standard time is the number that goes into planning: use it for line balancing, to compare against takt time and for production capacity.
  • Cycles needed above cycles taken means take more readings before publishing the time. If one element drives the number up, check that its method is well defined.
  • Readings out of range flag something abnormal in that cycle. Leave them out only when you know why. If they repeat, they are not exceptions.
  • A large deviation on one element usually points to an unstable method, fuzzy start and end points, or an element that is too long.

Common mistakes

  • Timing the whole cycle as one reading. Without elements you cannot tell where the variation comes from.
  • Skipping the rating. Timing your fastest operator at 100% produces a standard nobody else can meet.
  • Counting allowances twice. If the coffee break is already out of the available time, it does not go into the allowances again.
  • Throwing out high readings because they are inconvenient. A delay that happens every day is a real loss and should show up in the analysis.
  • Using standard time as the OEE ideal cycle. Standard time includes allowances. For OEE performance, use the ideal cycle of the machine or station.

Frequently asked questions

How do you calculate standard time?

Average the readings of each element, multiply by the performance rating to get normal time, then multiply by the allowance factor to get standard time. With a 4.4 s average, 100% rating and 15% allowances: 4.4 × 1 × 1 ÷ (1 − 0.15) = 5.18 s.

What is the difference between normal time and standard time?

Normal time is the observed average adjusted for the operator’s pace. Standard time is normal time plus allowances for personal needs, fatigue and unavoidable delays. Standard time is what goes into planning and costing.

How many cycles should a time study have?

Time a first batch (10 cycles is common) and compute n = ((z ÷ e) × √(n·Σx² − (Σx)²) ÷ Σx)², with z = 1.96 for 95% confidence and e = 0.05 for ±5% error. If the result is larger than the cycles you have, time more. The calculator does it for each element and keeps the largest.

What is performance rating in a time study?

It is the analyst’s judgment of the operator’s pace against a defined normal pace. 100% is normal; a faster operator might be rated 110%, which raises the observed time to what a normal operator would take. Without it, the standard depends on who happened to be timed.

What allowance percentage should I use?

Totals between 10% and 20% are common: personal needs (around 5%), fatigue (depending on effort, heat and posture) and unavoidable delays. The right figure depends on the job and is usually agreed between engineering, production and safety.

Should outliers be removed from a time study?

Readings outside the mean ± 2 standard deviations usually come from something abnormal, like a dropped part. Leave them out only when you know what happened. If they keep showing up, they are part of the process and belong in the analysis.