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authorPasha <pasha@member.fsf.org>2023-01-27 00:54:07 +0000
committerPasha <pasha@member.fsf.org>2023-01-27 00:54:07 +0000
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+# A TRANSPORTATION PROBLEM
+#
+# This problem finds a least cost shipping schedule that meets
+# requirements at markets and supplies at factories.
+#
+# References:
+# Dantzig G B, "Linear Programming and Extensions."
+# Princeton University Press, Princeton, New Jersey, 1963,
+# Chapter 3-3.
+
+set I;
+/* canning plants */
+
+set J;
+/* markets */
+
+param a{i in I};
+/* capacity of plant i in cases */
+
+param b{j in J};
+/* demand at market j in cases */
+
+param d{i in I, j in J};
+/* distance in thousands of miles */
+
+param f;
+/* freight in dollars per case per thousand miles */
+
+param c{i in I, j in J} := f * d[i,j] / 1000;
+/* transport cost in thousands of dollars per case */
+
+var x{i in I, j in J} >= 0;
+/* shipment quantities in cases */
+
+minimize cost: sum{i in I, j in J} c[i,j] * x[i,j];
+/* total transportation costs in thousands of dollars */
+
+s.t. supply{i in I}: sum{j in J} x[i,j] <= a[i];
+/* observe supply limit at plant i */
+
+s.t. demand{j in J}: sum{i in I} x[i,j] >= b[j];
+/* satisfy demand at market j */
+
+data;
+
+set I := Seattle San-Diego;
+
+set J := New-York Chicago Topeka;
+
+param a := Seattle 350
+ San-Diego 600;
+
+param b := New-York 325
+ Chicago 300
+ Topeka 275;
+
+param d : New-York Chicago Topeka :=
+ Seattle 2.5 1.7 1.8
+ San-Diego 2.5 1.8 1.4 ;
+
+param f := 90;
+
+end;