Average Days Late Formula:
From: | To: |
Average Days Late is a key performance metric that measures the mean delay in deliveries across multiple orders. It helps businesses track delivery performance and identify areas for improvement in their supply chain and logistics operations.
The calculator uses the Average Days Late formula:
Where:
Explanation: This calculation provides the average delay per order, giving a clear picture of overall delivery performance.
Details: Monitoring average days late is crucial for maintaining customer satisfaction, optimizing delivery processes, identifying bottlenecks in the supply chain, and improving overall operational efficiency.
Tips: Enter the total days late across all orders and the total number of orders. Ensure values are positive (days late ≥ 0, number of orders > 0).
Q1: What constitutes "days late"?
A: Days late refers to the number of days an order was delivered after the promised or expected delivery date.
Q2: How often should this metric be calculated?
A: It's recommended to calculate this metric weekly or monthly to track trends and identify seasonal patterns.
Q3: What is considered a good average days late?
A: Ideally, average days late should be 0. Lower values indicate better delivery performance, though industry standards vary.
Q4: Should I include on-time deliveries in this calculation?
A: Yes, on-time deliveries should be included as 0 days late to get an accurate overall average.
Q5: How can I reduce average days late?
A: Strategies include improving inventory management, optimizing delivery routes, setting realistic delivery promises, and addressing supplier delays.