SLA-based optimization
A Service Level Agreement (SLA) defines when an order needs to reach the customer. Sterling Intelligent Promising considers days to deliver or SLA to calculate promising and fulfillment decisions.
CarrierServiceCode
. Contact
your IBM representative to enable optimization based on the delivery date and ship date for
assignments.Sterling Intelligent Promising considers days to deliver or SLA to calculate promising and fulfillment decisions.
carrierServiceCode
on the order lineexpectedDeliveryDate
on the assignments available
When Sterling Intelligent
Promising optimizes orders, it considers the SLA or
carrierServiceCode
as the number of days that determine the delivery timeline, and
evaluates all possible combinations to meet that timeline. However, the SLA days are not taken
directly as-is to determine the number of days to deliver the order. Instead, the factors like node
capacity backlog, node shipping calendar, node shipping cutoff time, and order creation date are
used to determine the final number of days to deliver the order.
The node shipping calendar defines which days are considered nonbusiness days at the ship node. For more information, see Node calendar. The node cutoff time defines the start of nonbusiness hours at the shipping node, indicating that the next business day is considered the start of the commitment for that node.
When an order is placed on a business day and before the node cutoff time, the current day is considered the starting point toward the net SLA days calculation. However, when an order is placed on a nonbusiness day or after the node cutoff time on a business day, the next business day is counted toward the net SLA days.
When an order is optimized on a business day and before the node cutoff time, the current day is considered the starting point toward the net SLA calculation. However, when an order is optimized on a nonbusiness day or after the node cutoff time on a business day, the next business day is counted toward the net SLA calculation. The difference in business days from when an order was created to when the order is optimized, drives the net SLA days that remain for the order to be delivered.
See the following table for an example of the SLA days calculation. In this example, the ship node cutoff is every weekday at 14:00:00 EST, and the ship node calendar is configured to consider Saturdays and Sundays as nonbusiness days.
Sample order 1 is being retried for optimization every few hours. The order was placed before the node cutoff time on a business day.
Date | Thursday | Friday | Saturday | Sunday | Monday | Tuesday | SLA days | Difference in business days | Net SLA days |
---|---|---|---|---|---|---|---|---|---|
Order date Optimization date |
10:00:00 EST 11:00:00 EST |
6 | 0 | 6 | |||||
Order date Optimization date |
10:00:00 EST 19:00:00 EST |
6 | 1 | 5 | |||||
Order date Optimization date |
10:00:00 EST – |
– 10:00:00 EST |
6 | 1 | 5 | ||||
Order date Optimization date |
10:00:00 EST – |
– 19:00:00 EST |
6 | 1 | 5 | ||||
Order date Optimization date |
10:00:00 EST – |
– 13:00:00 EST |
6 | 1 | 5 | ||||
Order date Optimization date |
10:00:00 EST – |
– 10:00:00 EST |
6 | 1 | 5 | ||||
Order date Optimization date |
10:00:00 EST – |
– 19:00:00 EST |
6 | 2 | 4 |
Sample order 2 is being retried for scheduling every day. The order was placed after the node cutoff time on a business day.
Date | Thursday | Friday | Saturday | Sunday | Monday | Tuesday | SLA days | Difference in business days | Net SLA days |
---|---|---|---|---|---|---|---|---|---|
Order date Optimization date |
19:00:00 EST 20:00:00 EST |
6 | 0 | 6 | |||||
Order date Optimization date |
19:00:00 EST – |
– 11:00:00 EST |
6 | 0 | 6 | ||||
Order date Optimization date |
19:00:00 EST – |
– 11:00:00 EST |
6 | 0 | 6 | ||||
Order date Optimization date |
19:00:00 EST – |
– 11:00:00 EST |
6 | 0 | 6 | ||||
Order date Optimization date |
19:00:00 EST – |
– 11:00:00 EST |
6 | 1 | 5 |