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--- 2.3._calibration_of_the_supply_module [2022/09/19 15:42] – [Additional Reading] stepanyan
+++ 2.3._calibration_of_the_supply_module [2024/09/20 11:29] (current) – [Downloads] stepanyan
@@ Line 8: / Line 8: @@
 ===== Downloads =====
-Download presentation:  {{ ::pmp_t.pptx |}}\\
+Slides: [[https://cloud.capri-model.org/index.php/s/9L88r6iWTK4jyJj | PMP]] \\
-Download Excel exercise:  {{ ::pmp.xlsx |}}   \\
+Excel exercise: [[https://cloud.capri-model.org/index.php/s/FMFLwDGRitGYBJQ | PMP_Excel]] \\
-Download Excel exercise solution {{ ::pmp_solution.xlsx |}}  \\
+Excel exercise solution {{ ::pmp_solution.xlsx |}}  \\
-Download GAMS  exercise:  \\
+GAMS exercise: [[https://cloud.capri-model.org/index.php/s/Cp4q9tLxtWGWPiy | PMP_GAMS]]
 ===== Lecture =====
@@ Line 23: / Line 24: @@
-<code lang=gams>
-*XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX*
-$ontext
-* Exercise (3): MY FARM Model with sets and sum
-*### The objective of the exercise:
-) Getting acquainted with the GAMS programming language.
-*### The problem:
-A farmer wants to maximize his profit using 200 ha of land and 10000 hours of
-labor available. He has the option of cultivating three types of crops: wheat,
-barley, rapeseed and sugarbeet. The profit received and labor hours required for producing one
-ha of each crop are presented in the table below. How much of each crop does he
-need to cultivate in order to maximize his profit?
-Item                           Wheat Barley Rapeseed Sugarbeet
-Profit in €/ha                  253   443     284      516
-Required labor hours/ha          25    36      27       87
-*XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX*
-$offtext
-sets
-   crops /
-      wheat
-      barley
-      rapeseed
-      sugarbeet
-   /
-;
-Parameters
-   gm(crops)   gross margin
-   lab(crops)  labour quantity
-;
-gm("wheat")      = 253;
-gm("barley")     = 443;
-gm("rapeseed")   = 284;
-gm("sugarbeet")  = 516;
-lab("wheat")     = 25;
-lab("barley")    = 36;
-lab("rapeseed")  = 27;
-lab("sugarbeet") = 87;
-Variables
-  Z  objective function value
-;
-Positive variable
-  X(crops)  land area planted with crop
-;
-Equations
-  land   land constraint
-  labour labour constraint
-  obj    objective function
-;
-obj ..           Z =E= sum (crops, X(crops)*gm(crops));
-land ..          sum (crops, X(crops)) =L= 200;
-labour ..        sum (crops, lab(crops)*X(crops)) =L= 10000;
-Model myfarm /all/;
-Solve myfarm using lp maximizing Z;
-</code>