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Mining and process industries

Description
Problem name and type, featuresDifficultyRelated examples
A‑1 Production of alloys: Blending problem

formulation of blending constraints; data with numerical indices, solution printout, if-then, getsol		 * blending_graph.mos
A‑2 Animal food production: Blending problem

formulation of blending constraints; data with string indices, as, formatted solution printout, use of getsol with linear expressions, strfmt		 * a1alloy.mos
A‑3 Refinery : Blending problem

formulation of blending constraints; sparse data with string indices, dynamic initialization, union of sets		 ** a2food.mos
A‑4 Cane sugar production : Minimum cost flow (in a bipartite graph)

mo ceil, is_binary, formattext		 * e2minflow.mos, mincostflow_graph.mos
A‑5 Opencast mining: Minimum cost flow

encoding of arcs, solving LP-relaxation only, array of set		 ** a4sugar.mos
A‑6 Production of electricity: Dispatch problem

inline if, is_integer, looping over optimization problem solving		 **


Further explanation of this example: 'Applications of optimization with Xpress-MP', Chapter 6: Mining and process industries (blending problems)

mosel_app_1.zip[download all files]

Source Files
By clicking on a file name, a preview is opened at the bottom of this page.
a1alloy.mos[download]
a2food.mos[download]
a3refine.mos[download]
a4sugar.mos[download]
a5mine.mos[download]
a5mine2.mos[download]
a6electr.mos[download]
a6electrg.mos[download]

Data Files
a1alloy.dat[download]
a2food.dat[download]
a3refine.dat[download]
a4sugar.dat[download]
a5mine.dat[download]
a5mine2.dat[download]
a6electr.dat[download]




a6electr.dat

! Data file for `a6electr.mos'

! Time periods
LEN: [    6     3     3     2      4      4      2]
DEM: [12000 32000 25000 36000  25000  30000  18000]

! Power plants
PMIN:   [ 750  1000  1200  1800]
PMAX:   [1750  1500  2000  3500]
CSTART: [5000  1600  2400  1200]
CMIN:   [2250  1800  3750  4800]
CADD:   [ 2.7   2.2   1.8   3.8]
AVAIL:  [  10     4     8     3]
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