Sample MPL Model File | ||
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On this page is a small sample model of a planning problem. You can also see how MPL model files are structured. We also have a page where we go through the sample model and give you the full explanation for each statement.
The Planning problemThe aggregate production planning problem is a question of how to distribute production capacity between products, and to determine production and inventory levels, given the demand for the products each month. In this example, we have three products and the planning is done for a whole year, or twelve months. Prices, demand, production capacity and cost are fixed, while production, sales and inventory are the decision variables. We will optimize this problem with respect to profit.Here is the actual model file planning.mpl we will be using:
{ Planning.mpl }
{ Aggregate production planning for 12 months }
TITLE
Production_Planning;
INDEX
product = 1..3;
month = (January,February,March,April,May,June,July,
August,September,October,November,December);
DATA
price[product] := (105.09, 234.00, 800.00);
Demand[month,product] := 1000 DATAFILE(demand.dat);
ProductionCapacity[product] := 1000 (10, 42, 14);
ProductionCost[product] := (64.30, 188.10, 653.20);
InventoryCost := 8.8 ;
DECISION VARIABLES
Inventory[product,month] -> Invt
Production[product,month] -> Prod
Sales[product,month] -> Sale
MACRO
Revenues := SUM(product,month: price * Sales);
TotalCost := SUM(product,month: InventoryCost * Inventory
+ ProductionCost * Production);
MODEL
MAX Profit = Revenues - TotalCost ;
SUBJECT TO
InventoryBalance[product,month] -> IBal :
Inventory = Inventory[month-1] + Production - Sales ;
BOUNDS
Sales |
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