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16 CHAPTER 7 SYSTEMS OF EQUATIONS AND MATRICES

SOLUTION

To organize all of the information provided, a table is helpful.

Maximum

Standard Model Competition Model Labor-Hours

(labor-hours (labor-hours Available

per board) per board) per Week

Fabricating 6 8 120

Finishing 1 3 30

Let

These variables are restricted as follows:

Fabricating department restriction:

Finishing department restriction:

x Number of standard boards produced per week

y Number of competition boards produced per week

Weekly fabricating time Weekly fabricating time

labor-hours

a b a b aMaximum b

for x standard boards for y competition boards available per week

6x 8y 120

Weekly finishing time

finishing time

a b aWeekly

for x standard boards for y competition boards b Maximum labor-hours

a b

available per week

1x 3y 30

Since it is not possible to manufacture a negative number of boards, x and y also must

satisfy the nonnegative restrictions

© Corbis RF

x 0

y 0

The production levels x and y must satisfy the following system of linear inequalities:

6x 8y 120

x 3y 30

x 0

y 0

Fabricating department restriction

Finishing department restriction

Nonnegative restriction

Nonnegative restriction

Graphing this system of linear inequalities, we obtain the set of feasible solutions, or

the feasible region, as shown in Figure 10. For problems of this type and for the linear programming

problems we consider in the next section, solution regions are often referred to

as feasible regions. Any point within the shaded area, including the boundary lines, represents

a possible production schedule. Any point outside the shaded area represents an

impossible schedule. For example, it would be possible to produce 12 standard boards and

5 competition boards per week, but it would not be possible to produce 12 standard boards

and 7 competition boards per week (see the figure).

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