LOGISTICS

Delivery Delay Histogram

This histogram groups late parcel deliveries by the number of hours past their promised arrival time. Most late parcels fall in the first two hours, and the frequency drops as delays become longer. That pattern helps an operations team separate a common small delay from a smaller group of severe exceptions. Use the same promise-time definition across all records and exclude canceled deliveries unless they are part of the question. The chart does not explain why parcels were late, so pair it with route, carrier, weather, and warehouse data when diagnosing causes. Keep the bins consistent when comparing different weeks or service regions.

UPDATED 2026-09-25
TYPEBar
EXAMPLEDelivery Delay Histogram
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CASE ANALYSIS

Scenario

Reviewing delivery exceptions

Key decisions

  • Definition: Measure delay against the promised arrival time.
  • Bins: Use equal two-hour intervals.
  • Priority: Investigate the parcels delayed more than six hours.

When to reuse this

Use this histogram to understand the spread of late-delivery exceptions across a delivery operation.

FAQ

Frequently asked questions

What is a delivery-delay histogram?01
It groups deliveries by how late they arrived so the distribution of delays is visible.
Why not use only average delay?02
An average can hide whether most delays are small or whether a few severe cases are pulling it upward.
Can I compare two delivery regions?03
Yes, if both use the same delay definition, period, and bin ranges.
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