Supplier On Time Delivery Rate Calculator
Work out supplier on time delivery rate instantly with clear inputs, formula shown and shareable results.
About Supplier On Time Delivery Rate Calculator
On time in full is the strictest delivery measure: a delivery counts only if it arrives within the agreed window and complete. Multiplying late deliveries by the expediting cost turns a percentage into the currency figure that supports a supplier improvement conversation.
Formulas
OTIF rate
OTIF % = Deliveries on time and in full / Total deliveries x 100
Expediting cost
Cost = Late deliveries x Expediting cost per late delivery
Worked example
With the default values below, Supplier On Time Delivery Rate Calculator returns On time in full rate of 91.03%. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Deliveries on time and in full
- 1,420
- Total deliveries
- 1,560
- Average days late when late
- 4
- Expediting cost per late delivery
- 8,500
Results
- On time in full rate
- 91.03%
- Late deliveries
- 140
- Total expediting cost
- $1,190,000.00
- Total delay days
- 560.0
Step by step
- 1Values used
- 2OTIF rate
- 3Expediting cost
- 4On time in full rate= 91.03
- 5Late deliveries= 140
- 6Total expediting cost= 1,190,000.00
- 7Total delay days= 560.0
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax or compounding frequency into account.
- Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
Should early deliveries count as on time?
Not usually. Early delivery creates unplanned storage and cash flow effects, so most OTIF definitions require arrival within a window.
What OTIF is achievable?
95%+ for stable, high-volume supply; 85-90% for engineered or long lead-time items where forecast accuracy is inherently poorer.
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