4.4 Manufacturing
For the Manufacturing LoB, we have pre-built scenarios for 4 use cases such as Customer demand and
inventory management, Overall equipment effectiveness, Asset breakdown analysis and Maintenance cost
analysis. Depending on the use case and the functionality that we are analyzing, we have picked up either the
Automated Analytics or the Expert Analytics approach.
Basically for the Overall equipment effectiveness, Asset Breakdown Analysis use cases and Maintenance cost
analysis use cases, we have used the HANA Live views for SAP PM as the data source and sample data sets
are available for the same. With regard to the Customer demand and inventory management use case, we have
built a generic data set and seeded sample data set for building the predictive models.
Note: Any SAP or non-SAP customer would be able to deploy or mimic the data structure, load the data and use
the pre-built models.
Customer Demand and Inventory Management
In this use case, we focus on what particular brand of products would do well if released in a particular time of
the year and do predictions about how this can be applied for new set of products.
Expert Analytics
Set the following parameters by using this Parameters Table:
Parameter
Filter Setting
Period
Length of the actual or predictive period: Q for Quarter, M for Month
Start_Year
Starting year of the actual data
Start_Qtr
IF the period is Q, the starting quarter of the actual data
Start_Mth
IF the period is M, the starting month of the actual data
Act_Periods
Actual number of periods (quarters or months) for review in the Predictive
Analytics
Dim_1_Val
(Region_Key)
Value of the Region Key in the data: ALL if all Regions are to be used
Dim_2_Val
(Distr_Chan_Key)
The value of the Distribution Channel Key in the data: ALL if all Distr_Chan are to
be used
Dim_3_Val
(Product_Key)
The value of the Product Key in the data: ALL if all Products are to be used
Launch Expert Analytics in SAP Predictive Analytics. Open menu File and choose Import to folder and
import or if the LUMS file is already imported browse through the Documents list for
Mfg_Pred_Sales_Set_Parameters.lums file.
In the dialog box, enter the SAP HANA server details, your user name, and password.
Choose
Prepare
to ensure that the data has loaded properly
Switch to the
Predict
panel to view the predictive model.
Find the eight possible filter settings (described in the previous parameters table) to be made that
define the data to analyze for projection; some filter settings are mutually exclusive. (If all filter settings
are not visible, scroll down to reveal).
Values for the three Keys (Region, Distribution Channel, and Product) must be equal to the values in
the dimension tables in the star schema SAP HANA account (SAP_RDS_PA_MFG).If you are
