Engineering Optimization: Theory and Practice, Fourth Edition

(Martin Jones) #1

204 Linear Programming II: Additional Topics and Extensions


FertilizerAshould not contain more than 60% of ammonia andBshould contain
at least 50% of ammonia. On the average, the plant can sell up to 1000 lb/hr and due
to limitations on the production facilities, not more than 600 lb of fertilizerAcan be
produced per hour. The availability of chemicalC 1 is restricted to 500 lb/hr. Assuming
that the production costs are same for bothAandB, determine the quantities ofA
andBto be produced per hour for maximum return if the plant sellsAandBat the
rates of $6 and $7 per pound, respectively.

SOLUTION Letx 1 andx 2 indicate the amounts of chemicalsC 1 andC 2 used in
fertilizerA, andy 1 andy 2 in fertilizerBper hour. Thus the total amounts ofAand
Bproduced per hour are given byx 1 +x 2 andy 1 +y 2 , respectively. The objective
function to be maximized is given by

f=selling price− cost of chemicalC 1 andC 2

= 6 (x 1 +x 2 )+ 7 (y 1 +y 2 ) − 5 (x 1 +y 1 ) − 4 (x 2 +y 2 )

The constraints are given by

(x 1 +x 2 ) +(y 1 +y 2 ) ≤ 1000 (amount that can be sold)
x 1 +y 1 ≤ 005 (availability ofC 1 )
x 1 +x 2 ≤ 006 (production limitations on A)
7
10 x^1 +

4
10 x^2 ≤

6
10 (x^1 +x^2 ) (A^ should not contain more
than 60% of ammonia)
7
10 y^1 +

4
10 y^2 ≥

5
10 (y^1 +y^2 ) (B^ should contain at least
50% of ammonia)

Thus the problem can be restated as

Maximizef=x 1 + 2 x 2 + 2 y 1 + 3 y 2 (E 1 )

subjectto

x 1 +x 2 +y 1 +y 2
x 1 +y 1

≤ 1000

≤ 500 (E^2 )

x 1 +x 2
x 1 − 2 x 2

≤ 600

≤ 0

(E 3 )

− 2 y 1 +y 2 ≤ (^0) (E 4 )
xi≥ 0 , yi≥ 0 , i= 1 , 2
This problem can also be stated in matrix notation as follows:
Maximizef (X)=cT 1 X 1 +cT 2 X 2

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