CART® Classification for Predict On-time Delivery

Use CART® Classification to use complex relationships with multiple predictors to predict on-time delivery.

This example applies to the Supply Chain Module. For more information, go to www.minitab.com/supply-chain-module.

Example

On-time delivery is the proportion of orders that arrive on schedule. To calculate on-time delivery rate, divide the total number of on-time deliveries by the total number of deliveries.

In this worksheet, On Time is the response. The response event is On Time. Number of Items is the continuous predictor, and Carrier, Incentive Plan, and Route Plan are categorical predictors.

C1-T	C2	C3-T	C4-T	C5-T
`On Time`	`Number of Items`	`Carrier`	`Incentive Plan`	`Route Plan`
On Time	55	Speedy Shipping	Standard	Yes
On Time	64	Global Delivery	Gold	Yes
On Time	52	Ship-It-Fast	Standard	No
Late	61	Ship Now	Gold	No

How-to

Choose Solutions Modules > Functions > Supply Chain KPIs, then select Launch.
Under Delivery, select On-time delivery.
Select Predict on-time delivery, then click OK.
Select CART® Classification, then click OK.
In Response, enter the binary variable that contains the delivery data. Binary variables are categorical variables that have two possible levels, such as pass/fail or true/false. The response is also called the Y variable.
In Response event, select the value that represents an on-time delivery.
In Continuous predictors, enter the continuous variables that may explain or predict whether a delivery is late. The predictors are also called X variables.
In Categorical predictors, enter the categorical variables that may explain or predict whether a delivery is late. The predictors are also called X variables.
Click OK.

Tip

For more information about this analysis, click Help in the main dialog box.