Question

In: Statistics and Probability

The supervisor of a manufacturing plant is trying to determine how many of two parts, Part...

The supervisor of a manufacturing plant is trying to determine how many of two parts, Part X and Part Y, are to be produced per day. Each part must be processed in three sections of the plant. The time required for the production along with the profit contribution for each part are given in the following table. Time required (Minutes/Unit) Section 1 Section 2 Section 3 Profit/Unit Part X 50 30 18 $2 Part Y 80 45 22 $3 Available time (minutes) 3,600 2,500 1,200 ​ No more than 60 units of Part X and up to 70 units of Part Y can be produced per day.

​a.What are the variables and the objective function?

b. Develop a linear programming model and solve the model to determine the optimal production quantities of Parts X and Y and solve with graphing. No need to include the graph , but please include the corner points for the feasible region

c. What is the maximum profit

Solutions

Expert Solution

ANSWER::

LPP Formulation:

Decision Variables:

X = units of part X

Y = units of part Y

a)

Objective Function:

The objective of the company is to maximize the profit from the production of both products

Total profit = (units of part X) x (profit per unit of X) + (units of Y)x(profit per unit of Y)

Maximize Profit = max. Z = $2X + $3Y

Subject to:

Availability of time in section 1 is 3600 minutes only

Total time required to produce X and Y <= 3600 minutes

50X + 80Y <= 3600

Availability of time in section 2 is 2500 minutes only

30X + 45Y <= 2500

Availability of time in section 3 is 1200 minutes only

18X + 22Y <= 1200

Not more than 60 units of X can be produced

1X + 0Y <= 60

Up to 70 units of Y can be produced

0X + 1Y <= 70

Non-negativity

X, Y >= 0

b)

Graphical Solution:

Plotting of constraint line on graph:

Let, X-axis represents units of X

Y-axis represents units of Y

Constraint

Equality Equation

X-axis coordinate (Y = 0)

Y-axis coordinate (X = 0)

Feasible area

Section 1

50X +80Y = 3600

(72, 0)

(0, 45)

Towards origin

Section 2

30X + 45Y = 2500

(83.33, 0)

(0, 55.55)

Towards origin

Section 3

18X + 12Y = 1200

(66.67, 0)

(0, 100)

Towards origin

Production of X

X = 60

(60, 0)

Parallel to Y- axis

Towards origin

Production of Y

Y = 70

Parallel to X- axis

(0, 70)

Towards origin

Graph :

The coordinates of Feasible area: (0,0) , (60,0) , (60,7.5), and (0,45)

According the extreme points method the objective value is determined as follows::

Extreme Points

Objective function Value

(Z = 2X + 3Y)

(0,0)

Z = 2(0) + 3(0) = 0

(60, 0)

Z = 2(60) + 3(0) = 120

(60, 7.5)

Z = 2(60) + 3(7.5) = 142.5

(0, 45)

Z = 2(0) + 3(45) = 135

c

The maximum value of Z is $142.5 at point (60, 7.5). Thus optimal solution is obtained at B (60, 7.5)

Optimal Solution:

Profit = $142.5

X = 60 and Y = 7.5

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