Overall Equipment Effectiveness - CTS FWR5-3105SFP-CW-AC-DR Series Manual

uncertain these values are equal, choose Execute the document icon on the far left-hand side of the
screen (PREFERENCES_MFG_SALES_PARAMETER_VALUES) and choose Yes when asked Do
you want to switch to the Results view? A matrix of the input table appears. Scroll to find the values for
the parameter to ensure that they are equal.
If all of a dimension is to be included for analysis, enter ALL in the parameter setting box when
configuring the Filter.
Choose Run to run the algorithm and execute the scenario
Choose Yes to switch to the Results view.
Close and Save the Settings

Overall Equipment Effectiveness

In this use case, we focus on identifying the overall availability, performance and quality of equipment.
Expert Analytics
Set the following parameters by using this Parameters Table:
Parameter
Period
Start_Year
Start_Qtr
Start_Mth
Start_Wk
Act_Periods
Zero_Fill_Missing_Time_Periods
Corp_Node_ID
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_OEEQUERY_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 8 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).
Value for the Corp_Hier_ID must be equal to one of the values in the table in the star schema SAP
HANA account (SAP_RDS_PA_MFG).
IF you are uncertain these values are equal, choose Execute the document icon on the far left-hand
side of the screen (PREF_MFG_OEEQUERY_PARAM_VALUES) and choose Yes when asked Do
Filter Setting
Length of the actual/predictive period: Y for Year, Q for Quarter, M
for Month, W for Week
Starting year of the actual data
IF the period is Q, the starting quarter of the actual data
IF the period is M, the starting month of the actual data
IF the period is W, the starting week of the actual data
Actual number of periods (years, quarters, months, or weeks) for
review in the Predictive Analytics
'N' for No, 'Y' for yes
Note: only use if you having missing period data and want to use 0
for the absent periods.
The value of the Corp Node ID- values is in the input document
Note: the ID will begin with 'E' for Explosion, 'S' for single level
The corporate hierarchy root node is always 'E1'