A linear programming computer package is needed. Georgia Cabinets manufactures kitchen cabinets that are sold to local dealers throughout the Southeast. Because of a large backlog of orders for oak and cherry cabinets, the company decided to contract with three smaller cabinetmakers to do the final finishing operation. For the three cabinetmakers, the number of hours required to complete all the oak cabinets, the number of hours required to complete all the cherry cabinets, the number of hours available for the final finishing operation, and the cost per hour to perform the work are shown here. Min s.t. Hours required to complete all the oak cabinets Hours required to complete all the cherry cabinets Hours available Cost per hour oak hours available 1 cherry hours available 2 hours available 3 Cabinetmaker 1 01, 02, 03, C1, C2, C3 ≥ 0 50 60 00000 40 $36 Cabinetmaker 2 42 For example, Cabinetmaker 1 estimates it will take 50 hours to complete all the oak cabinets and 60 hours to complete all the cherry cabinets. However, Cabinetmaker 1 only has 40 hours available for the final finishing operation. Thus, Cabinetmaker 1 can only complete 40/50 = 0.80, or 80 %, of the oak cabinets if it worked only on oak cabinets. Similarly, Cabinetmaker 1 can only complete 40/60 = 0.67, or 67%, of the cherry cabinets if it worked only on cherry cabinets. 48 (a) Formulate a linear programming model that can be used to determine the percentage of the oak cabinets and the percentage of the cherry cabinets that should be given to each of the three cabinetmakers in order to minimize the total cost of completing both projects. (Let 01 = percentage of oak cabinets assigned to cabinetmaker 1, 02 = percentage of oak cabinets assigned to cabinetmaker 2, 03 = percentage of oak cabinets assigned to cabinetmaker 3, C1 = percentage of cherry cabinets assigned to cabinetmaker 1, C2 = percentage of cherry cabinets assigned to cabinetmaker 2, and C3 = percentage of cherry cabinets assigned to cabinetmaker 3.) 30 $42 Cabinetmaker 3 30 35 35 $55

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A linear programming computer package is needed.
Georgia Cabinets manufactures kitchen cabinets that are sold to local dealers throughout the Southeast. Because of a large backlog of orders for oak and cherry cabinets, the company decided to contract with three smaller cabinetmakers to do the final finishing
operation. For the three cabinetmakers, the number of hours required to complete all the oak cabinets, the number of hours required to complete all the cherry cabinets, the number of hours available for the final finishing operation, and the cost per hour to perform the
work are shown here.
Min
s.t.
Hours required to complete
all the oak cabinets
Hours required to complete
all the cherry cabinets
Hours available
Cost per hour
hours available 1
oak
hours available 2
cherry
hours available 3
Cabinetmaker 1
01, 02, 03, C1, C2, C3 20
50
60
00000
40
$36
Cabinetmaker 2
42
For example, Cabinetmaker 1 estimates it will take 50 hours to complete all the oak cabinets and 60 hours to complete all the cherry cabinets. However, Cabinetmaker 1 only has 40 hours available for the final finishing operation. Thus, Cabinetmaker 1 can only complete
40/50 = 0.80, or 80%, of the oak cabinets if it worked only on oak cabinets. Similarly, Cabinetmaker 1 can only complete 40/60 = 0.67, or 67%, of the cherry cabinets if it worked only on cherry cabinets.
48
(a) Formulate a linear programming model that can be used to determine the percentage of the oak cabinets and the percentage of the cherry cabinets that should be given to each of the three cabinetmakers in order to minimize the total cost of completing both
projects. (Let 01 = percentage of oak cabinets assigned to cabinetmaker 1, 02 = percentage of oak cabinets assigned to cabinetmaker 2, 03 = percentage of oak cabinets assigned to cabinetmaker 3, C1 = percentage of cherry cabinets assigned to cabinetmaker
1, C2 = percentage of cherry cabinets assigned to cabinetmaker 2, and C3 = percentage of cherry cabinets assigned to cabinetmaker 3.)
30
$42
Cabinetmaker 3
30
35
35
$55
Transcribed Image Text:A linear programming computer package is needed. Georgia Cabinets manufactures kitchen cabinets that are sold to local dealers throughout the Southeast. Because of a large backlog of orders for oak and cherry cabinets, the company decided to contract with three smaller cabinetmakers to do the final finishing operation. For the three cabinetmakers, the number of hours required to complete all the oak cabinets, the number of hours required to complete all the cherry cabinets, the number of hours available for the final finishing operation, and the cost per hour to perform the work are shown here. Min s.t. Hours required to complete all the oak cabinets Hours required to complete all the cherry cabinets Hours available Cost per hour hours available 1 oak hours available 2 cherry hours available 3 Cabinetmaker 1 01, 02, 03, C1, C2, C3 20 50 60 00000 40 $36 Cabinetmaker 2 42 For example, Cabinetmaker 1 estimates it will take 50 hours to complete all the oak cabinets and 60 hours to complete all the cherry cabinets. However, Cabinetmaker 1 only has 40 hours available for the final finishing operation. Thus, Cabinetmaker 1 can only complete 40/50 = 0.80, or 80%, of the oak cabinets if it worked only on oak cabinets. Similarly, Cabinetmaker 1 can only complete 40/60 = 0.67, or 67%, of the cherry cabinets if it worked only on cherry cabinets. 48 (a) Formulate a linear programming model that can be used to determine the percentage of the oak cabinets and the percentage of the cherry cabinets that should be given to each of the three cabinetmakers in order to minimize the total cost of completing both projects. (Let 01 = percentage of oak cabinets assigned to cabinetmaker 1, 02 = percentage of oak cabinets assigned to cabinetmaker 2, 03 = percentage of oak cabinets assigned to cabinetmaker 3, C1 = percentage of cherry cabinets assigned to cabinetmaker 1, C2 = percentage of cherry cabinets assigned to cabinetmaker 2, and C3 = percentage of cherry cabinets assigned to cabinetmaker 3.) 30 $42 Cabinetmaker 3 30 35 35 $55
(b) Solve the model formulated in part (a). What percentage of the oak cabinets and what percentage of the cherry cabinets should be assigned to each cabinetmaker? What is the total cost (in $) of completing both projects? (Round your percentage values to one
decimal place.)
01
02
03
C1
C2
C3
total cost $
%
%
%
%
%
%
(c) If Cabinetmaker 1 has additional hours available, would the optimal solution change? Explain.
Yes, each additional hour of time for cabinetmaker 1 will reduce the total cost by $5 per hour.
O Yes, each additional hour of time for cabinetmaker 1 will reduce the total cost by $-1.75 per hour.
No, cabinetmaker 1 has a slack of 37.5 hours, so increasing cabinetmaker 1's time will not reduce
costs.
O No, cabinetmaker 1 has a slack of 26.458 hours, so increasing cabinetmaker 1's time will not reduce
costs.
(d) If Cabinetmaker 2 has additional hours available, would the optimal solution change? Explain.
O Yes, each additional hour of time for cabinetmaker 2 will reduce the total cost by $5 per hour.
Yes, each additional hour of time for cabinetmaker 2 will reduce the total cost by $-1.75 per hour.
O No, cabinetmaker 2 has a slack of 37.5 hours, so increasing cabinetmaker 2's time will not reduce
costs.
O No, cabinetmaker 2 has a slack of 26.458 hours, so increasing cabinetmaker 2's time will not reduce
costs.
(e) Suppose Cabinetmaker 2 reduced its cost to $38 per hour. What effect would this change have on the optimal solution? Explain.
The new objective function coefficients for 02 and C2 are
and
, respectively. The optimal solution does not change
✔
and has a value of $
Transcribed Image Text:(b) Solve the model formulated in part (a). What percentage of the oak cabinets and what percentage of the cherry cabinets should be assigned to each cabinetmaker? What is the total cost (in $) of completing both projects? (Round your percentage values to one decimal place.) 01 02 03 C1 C2 C3 total cost $ % % % % % % (c) If Cabinetmaker 1 has additional hours available, would the optimal solution change? Explain. Yes, each additional hour of time for cabinetmaker 1 will reduce the total cost by $5 per hour. O Yes, each additional hour of time for cabinetmaker 1 will reduce the total cost by $-1.75 per hour. No, cabinetmaker 1 has a slack of 37.5 hours, so increasing cabinetmaker 1's time will not reduce costs. O No, cabinetmaker 1 has a slack of 26.458 hours, so increasing cabinetmaker 1's time will not reduce costs. (d) If Cabinetmaker 2 has additional hours available, would the optimal solution change? Explain. O Yes, each additional hour of time for cabinetmaker 2 will reduce the total cost by $5 per hour. Yes, each additional hour of time for cabinetmaker 2 will reduce the total cost by $-1.75 per hour. O No, cabinetmaker 2 has a slack of 37.5 hours, so increasing cabinetmaker 2's time will not reduce costs. O No, cabinetmaker 2 has a slack of 26.458 hours, so increasing cabinetmaker 2's time will not reduce costs. (e) Suppose Cabinetmaker 2 reduced its cost to $38 per hour. What effect would this change have on the optimal solution? Explain. The new objective function coefficients for 02 and C2 are and , respectively. The optimal solution does not change ✔ and has a value of $
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