Z Score for Safety Stock
Hello,
I need to build a formula to calculate safety stock in Anaplan. I have lead time & usage data available. I am inquiring guidance with developing the z score formula. Inputs will be appreciated, thanks!
Comments
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KBeltz Member, ALL USERS, GroupMember, Partner, Certified Master Anaplanner Posts: 5 Certified Master Anaplanner
Some general build tips.
-calculate the decimal, round it, and convert it to text
-can use FINDITEM to match the result to a Z-Score "list" which you can manually create pretty quickly one time. Important thing here is to have the list's code = the rounded number so anaplan can match the z-score to the list
-can do lookups or whatever you need to now for each item!
-the stat forecasting app has ways to calculate mean, median, etc
---To calculate the Z-score, subtract the mean from each of the individual data points and divide the result by the standard deviation. Results of zero show the point and the mean equal.
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KBeltz Member, ALL USERS, GroupMember, Partner, Certified Master Anaplanner Posts: 5 Certified Master Anaplanner
There isn't a STDEV calc in Anaplan.. quite unfortunately. But there is a twisted way its calced out in the Stat App.
Start tracing back from the module: Descriptive Statistics History Range-->Percentiles
This app has not been updated/built to current best practices but you can get what you need out of it!
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Thank you @JaredDolich for the recommended apps and the potential solution. Currently, we have a Weeks of Supply on Hand calculation that is driven by forward looking demand (forecast) rather than usage, and the logic for the WOH is similar to the solution you described. I will check the recommended apps to see if I can get further information to build a usage driven formula. Thanks again for the guidance!!
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Thank you for the suggestions @KBeltz! I have checked the stat app to see if there is a standard deviation and z score calculations but there is not any. Is there an excel similar function (STDEV) in Anaplan for standard deviation? Thank you for the support!
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