Ademola Akande, Statistician, Abbott

Change is present everywhere; And some level of variation is displayed by all manufacturing and measurement processes. Consequently, having the appropriate tools to accurately identify change points in a process have become very important, particularly with large datasets. Furthermore, the constant focus on process monitoring creates the risk of introducing further changes into our processes by responding to false negatives. A change point analysis tool has therefore been developed using JMP Scripting language (JSL), which can identify multiple change points in a given process and graphically highlight when the change(s) occurred. This tool also provides the user with a confidence level for the likelihood that a change has truly occurred.   

This work was funded by Abbott Diabetes Care.