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23 Cards in this Set
- Front
- Back
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The primary goal of sales and operations planning is to create an operationally feasible production plan. |
True |
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when SOP performs an aggregation of a forecast it will: |
Sum up forecasts from individual members into a parent level forecasts. |
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The SOP planning table is primarily organized around: |
Characteristics and key Figured |
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A forecast profile will tell SOP: |
What forecasting technique to use and Historical and future time periods. |
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Demand management in SAP primarily works with the following types of demand: |
Independent |
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The potential inputs into the Demand Management function in SAP include: |
material Forecasts Sales Plan Production Plan Manual entry |
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The outputs from Demand Management are: |
Planned independent requirements(PIR) Net quantities Required dates |
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The output from Demand Management will feed: |
MRR or MPS |
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A strategy group in SAP that will consume the forecast is: |
Strategy 40--Planning with final assembly |
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All replenishment planning systems answer the following questions EXCEPT: |
how to store the material made or purchased |
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Dependent demand is: |
Calculated from higher demad |
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Examples of independent demand in SAP include: |
Forecasts Customer order |
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The value in the MRP Type field on the Material Master that will allow standard MRP to run is: |
PD |
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If a fixed order quantity of 50 id defined as a lot size date value and there is a net requirement of 150 with no existing inventory then MRP will create: |
3 planned orders for 50 each
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Using Basic Scheduling what master data object below is read: |
Material Master |
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the results of an MRP run may be viewed through the MD04 transaction |
True |
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Forecasts are more accurate in the long term than term: |
False |
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Forecasting may be performed in SAP using: |
Manual Entry Sales and Operations Planning APO - Demand Planning |
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if a forecast is only expressed in financial terms (revenue, profit,ect. ) it fails which element below: |
Meaningful |
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A time series is an series of observations taken at irregular intervals: |
False |
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For the data below what would be forecast for the April using a 3 month moving average
Actual Jan 250 Feb 200 Mar 275 |
moving average= (250+200+275)/3= 242 |
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what would be the forecast for May if 200 units were sold in April?
Jan 200 Feb 250 Mar 275 Apr 220 |
moving average= (200+250+275+220)/4= 236 |
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What would be the Mean Absolute Deviation (MAD) for the following forecast and actual data?
Forecast Actual Jan 220 275 Feb 250 200 Mar 230 275 |
MAD= {(275-220)+|(200-250)|+(275-230)}/3= 50 |
