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Alloy mixture optimization (Minimize Expenses)

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Alloy mixture optimization (Minimize Expenses)There are four metals A, B, C and D that have the following properties:

Metal	Density (den)	Carbon (crb), %	Phosphor (psh), %	Price, $ / kg
A	6500	0.2	0.05	2.0
B	5800	0.35	0.015	2.5
C	6200	0.15	0.065	1.5
D	5900	0.11	0.1	2.0

The is a requirement to produce an alloy at minimal cost that has the following property ranges:

Range	Density (den)	Carbon (crb), %	Phosphor (psh), %
Min	5950	0.1	0.045
Max	6050	0.3	0.055

The decision variables are part of each metals in the alloy: X_A, X_B, X_C and X_D.
The objective function that to be minimized is:
F = X_A * A_Price + X_B * B_Price + X_C * C_Price + X_D * D_Price.

The density constraints are:
X_A * A_den + X_B * B_den + X_C * C_den + X_D * D_den >= 5950
X_A * A_den + X_B * B_den + X_C * C_den + X_D * D_den <= 6050

The carbon concentration constraints are:
X_A * A_crn + X_B * B_crn + X_C * C_crn + X_D * D_crn >= 0.1
X_A * A_crn + X_B * B_crn + X_C * C_crn + X_D * D_crn <= 0.3

The phosphor concentration constraints are:
X_A * A_psh + X_B * B_psh + X_C * C_psh + X_D * D_psh >= 0.045
X_A * A_psh + X_B * B_psh + X_C * C_psh + X_D * D_psh <= 0.055

We have to define the part of each metals in the alloy, therefore the last constraints is:
X_A + X_B + X_C + X_D = 1

The problem has been solved successfully with the following plan:

Metal	Metal Part
A	-
B	0.285
C	0.595
D	0.12

The Total cost of the alloy is $1.84

linear programming GIPALS Start

Linear programming examples

There are several examples of linear programming intended to make the users of GIPALS familiar with it. These examples are included in GIPALS installation and can be found in ..\GIPALS\Examples folder.

Transport problem

Production (profit maximization) problem

Dietary optimization

Alloy mixture optimization

GIPALS Linear Programming $197.95 - 15000 Constraints & Variables | $297.00 - Unlimited Number of Constraints & Variables

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