2 Proportions for Improve In-full Delivery

Use 2 Proportions to demonstrate that the proportion of in-full deliveries increases after a process improvement.

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

Example

In-full delivery is the proportion of orders that are delivered completely in the first shipment. To calculate in-full delivery rate, divide the total number of in-full deliveries by the total number of deliveries.

In this worksheet, In Full Before and In Full After represent the number of orders delivered in-full before and after a process improvement. Total Orders Before and Total Orders After represent the total number of delivered orders before and after the process improvement.

With summarized data, you enter the data values instead of the column identifiers.

`In Full Before`	`Total Orders Before`	`In Full After`	`Total Orders After`
453	587	662	744

How-to

Choose Solutions Modules > Functions > Supply Chain KPIs, then select Launch.
Under Delivery, select In-full delivery.
Select Improve in-full delivery, then click OK.
Select 2 Proportions, then click OK.
From the drop-down list, select Summarized data.
In Number of events, enter the number of in-full deliveries before the process improvement as Sample 1. Enter the number of in-full deliveries after the process improvement as Sample 2.
In Number of trials, enter the total number of shipments before the process improvement as Sample 1. Enter the total number of shipments after the process improvement as Sample 2.
Select Options. In Alternative hypothesis, select Difference < hypothesized difference. The hypothesized difference defines your null hypothesis. By default, the hypothesized difference = 0. This one-sided test has greater power to detect whether the proportion of in-full deliveries increased after the process change.
Click OK.

Tip

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