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Based on the information below, please answer the following: (a) Determine the o

ID: 446150 • Letter: B

Question

Based on the information below, please answer the following:

(a) Determine the optimal solution and optimal value and interpret their meanings.

(b) Determine the slack (or surplus) value for each constraint and interpret its meaning.

(c) What are the ranges of optimality for the profit of Product 1, Product 2, Product 3, and Product 4?

(d) Find the dual prices of the four constraints and interpret their meanings. What are the ranges in which each of these dual prices is valid?

(e) If the profit contribution of Product 2 changes from $100 per unit to $130 per unit, what will be the optimal solution? What will be the new total profit? (Note: Answer this question by using the ranging results given below).

(f) Which resource should be obtained in larger quantity to increase the profit most? (Note: Answer this question using the ranging results given below.).

Let     P1 = number of Product 1 to be produced

          P2 = number of Product 2 to be produced

          P3 = number of Product 3 to be produced

          P4 = number of Product 4 to be produced

Maximize 80P1 + 100P2 + 120P3 + 70P4        Total profit

Subject to

      10P1 + 12P2 + 10P3 + 8P4 3200       Production budget constraint

            4P1 + 3P2 + 2P3 + 3P4 1000       Labor hours constraint

            5P1 + 4P2 + 3P3 + 3P4 1200       Material constraint

                                             P1 > 100         Minimum quantity needed for Product 1 constraint

                   And P1, P2, P3, P4 0             Non-negativity constraints

The QM for Windows output for this problem is given below.

Linear Programming Results:

Variable           Status   Value

P1        Basic    100

P2        NONBasic       0

P3        Basic    220

P4        NONBasic       0

slack 1 NONBasic       0

slack 2 Basic    160

slack 3 Basic    40

surplus 4          NONBasic       0

Optimal Value (Z)        34400

Original problem w/answers:

                P1        P2         P3         P4          RHS        Dual

Maximize              80       100       120        70                                  

Constraint 1          10         12         10         8   <=    3200         12

Constraint 2           4          3          2          3   <=    1000          0

Constraint 3           5           4          3          3   <=    1200          0

Constraint 4          1            0          0          0   >=      100       -40

Solution->         100            0      220          0   Optimal Z->    34400            

Ranging Results:

Variable           Value   Reduced Cost Original Val     Lower Bound   Upper Bound

P1        100      0          80        -Infinity           120

P2        0          44        100      -Infinity           144

P3        220      0          120      87.5     Infinity

P4        0          26        70        -Infinity           96

Constraint        Dual Value      Slack/Surplus   Original Val     Lower Bound   Upper Bound

Constraint 1     12        0          3200    1000    3333.333

Constraint 2     0          160      1000    840      Infinity

Constraint 3     0          40        1200    1160    Infinity

Constraint 4     -40       0          100      0          120

Explanation / Answer

(a) The optimal solution is X1 = 0, X2 = 60, X3 = 160, and the optimal value is 4100.

Interpretation: The Company should manufacture 60 units of product 2, 160 units of product 3, and 0 units of product 1. If they do that, then they will make a total profit of $4100.

(b) The surplus variable is S1 = 20. The slack variables are S2 = 0, S3 = 20, and S4 = 0.

Interpretation: There are 20 units produced in excess of the required 200 units. There are 20 units of unused resource 2. All available units of resource 1 and resource 3 are being used.

(c) The ranges of optimality for the objective function coefficients are given below:

Range of optimality for the objective function coefficient of X1: From no lower limit to 13.

Range of optimality for the objective function coefficient of X2: From 13.3333 to 30.

Range of optimality for the objective function coefficient of X3: From 16.25 to 22.5.

(d) The dual prices for the four constraints are 0, 1, 0, and 6 respectively.

Interpretation: The dual price for an additional unit to total quantity produced is worth $0 to the company. This value is valid only in the range of no lower limit to 220 total units. The dual price for the total quantity produced is not worth any profit to the company because they are already producing more than the specified total number of units.

The dual price for an additional unit of resource 1 is worth $1 to the company. This additional profit is valid only in the range of 400 to 900 units of resource 1.

The dual price for an additional unit of resource 2 is worth $0 to the company. This value is valid only in the range of 380 to no upper limit units of resource 3. The dual price for resource 2 is not worth any profit to the company because there is already unused amount of resource 2 available.

The dual price for an additional unit of resource 3 is worth $6 to the company. This additional profit is valid only in the range of 500 to 625 units of resource 3.

(e) If the profit contribution of a unit of Product 2 changed from $15 to $25, it is still within the range of optimality (from 13.3333 to 30) for the profit contribution of Product 2. Therefore, the optimal solution remains the same. The optimal total profit will change.

New optimal total profit = 10X1 + 25X2 + 20X3 = 10(0) + 25(60) + 20(160) = $4700.

The total profit has increased by

4700 – 4100 = $600.

(f) If the availability of Resource 3 changed from 600 units to 620 units, it is still within the range of optimality (from 500 to 625) for the range of feasibility for Resource 2. Therefore, the company will still manufacture Product 2 and Product 3. It will still not manufacture Product 1. The optimal solution will change because the quantities of Product 2 and Product 3 manufactured will change. The optimal total profit will also change.

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