Introductory example
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| Type: | Production planning |
| Rating: | 1 (simple) |
| Description: | Modeling a small LP problem (chess0.mos), completing the model with solving and solution output (chess.mos) |
| File(s): | chess0.mos, chess.mos |
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| chess0.mos |
(!******************************************************
Mosel User Guide Example Problems
=================================
file chess0.mos
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Modeling a small LP problem.
(c) 2008 Fair Isaac Corporation
author: Bob Daniel, 2001
*******************************************************!)
model "Chess"
declarations
small: mpvar ! Number of small chess sets to make
large: mpvar ! Number of large chess sets to make
end-declarations
Profit:= 5*small + 20*large ! Objective function
Lathe:= 3*small + 2*large <= 160 ! Lathe-hours
Boxwood:= small + 3*large <= 200 ! kg of boxwood
end-model
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| chess.mos |
(!******************************************************
Mosel User Guide Example Problems
=================================
file chess.mos
``````````````
Solving and solution output.
(c) 2008 Fair Isaac Corporation
author: Bob Daniel, 2001
*******************************************************!)
model "Chess"
uses "mmxprs" ! We shall use Xpress Optimizer
declarations
small,large: mpvar ! Decision variables: produced quantities
end-declarations
Profit:= 5*small + 20*large ! Objective function
Lathe:= 3*small + 2*large <= 160 ! Lathe-hours
Boxwood:= small + 3*large <= 200 ! kg of boxwood
maximize(Profit) ! Solve the problem
writeln("Make ", getsol(small), " small sets")
writeln("Make ", getsol(large), " large sets")
writeln("Best profit is ", getobjval)
end-model
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