Understanding Your True Lead Time Variability
Before relying on formulas or assumptions, the first step is to analyze your actual shipment history. Your past performance data will give you a far more accurate picture than any generic estimate.
- Review your last 12 months of inbound shipments
- Track when the order was ready at supplier origin
- Record when the shipment arrived at your warehouse
- Measure how much the delivery deviated from the original estimate
Focus this analysis on your top 5 to 10 SKUs. This is where variability becomes most visible and impactful.
- A lane quoted at 30 days may actually range from 28 to 48 days
- Transit time depends heavily on carrier, vessel schedule, and port conditions
- Port congestion (especially Vancouver) has historically added 5 to 12 days
A CBSA customs examination, which gets triggered randomly or when documentation is flagged, can hold a container for 5 to 10 business days on top of the transit time (see Canada Border Services Agency guidelines).
These variations highlight a key reality: average transit time alone is not enough for planning.
You need to calculate two critical metrics:
- Average lead time
- Lead time standard deviation
Both metrics play a different but equally important role in your supply chain planning.
- A supplier averaging 35 days with low variability (±3 days) is predictable and manageable
- A supplier with the same average but high variability (±12 days) introduces significant risk
Higher variability requires a larger inventory buffer to maintain the same service level and avoid stockouts.