CART® Classification for Predict Damage-free Delivery

Use CART® Classification to use complex relationships with multiple predictors to predict damage-free delivery.

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

Example

Damage-free delivery is the proportion of orders that are delivered without damage.

In this worksheet, Damage is the response. The response event is Undamaged. Number of Items is the continuous predictor, and Case Size, Fill, and Tape are categorical predictors.

C1-T	C2	C3-T	C4-T	C5-T
`Damage`	`Number of Items`	`Case Size`	`Fill`	`Tape`
Damaged	5	6-bottle	Bubble	Acrylic
Damaged	4	4-bottle	Paper	Acrylic
Undamaged	2	2-bottle	Pillows	Paper
Undamaged	1	1-bottle	Cardboard	Paper

How-to

Choose Solutions Modules > Functions > Supply Chain KPIs, then select Launch.
Under Quality, select Damage-free delivery.
Select Predict damage-free delivery, then click OK.
Select CART® Classification, then click OK.
In Response, enter the binary variable that contains the damage 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 undamaged delivery.
In Continuous predictors, enter the continuous variables that may explain or predict whether a delivery is damaged. The predictors are also called X variables.
In Categorical predictors, enter the categorical variables that may explain or predict whether a delivery is damaged. The predictors are also called X variables.
Click OK.

Tip

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