Question: If Cabinetmaker 1 has additional hours available, would the optimal solution change? If required, round your answers to three decimal places. If your answer is

If Cabinetmaker 1 has additional hours available, would the optimal solution change? If required, round your answers to three decimal places. If your answer is zero, enter "0". Explain.
No
because Cabinetmaker 1 has
slack
of fill in the blank 33
120
hours. Alternatively, the dual value is fill in the blank 34
which means that adding one hour to this constraint will decrease total cost by $fill in the blank 35
.
If Cabinetmaker 2 has additional hours available, would the optimal solution change? If required, round your answers to three decimal places. If your answer is zero, enter "0". Use a minus sign to indicate the negative figure. Explain.
Yes
because Cabinetmaker 2 has a
of fill in the blank 38
25
. Therefore, each additional hour of time for cabinetmaker 2 will reduce cost by a total of $ fill in the blank 39
4.7267
per hour, up to an overall maximum of fill in the blank 40
total hours.
Suppose Cabinetmaker 2 reduced its cost to $39 per hour. What effect would this change have on the optimal solution? If required, round your answers to three decimal places. If your answer is zero, enter "0".
Cabinetmaker 1 Cabinetmaker 2 Cabinetmaker 3
Oak O1= fill in the blank 41
0
O2= fill in the blank 42
0.261
O3= fill in the blank 43
0
Cherry C1= fill in the blank 44
0.348
C2= fill in the blank 45
0.522
C3= fill in the blank 46
0.130
What is the total cost of completing both projects? If required, round your answer to the nearest dollar.
Total Cost = $ fill in the blank 47
1.261
The change in Cabinetmaker 2s cost per hour leads to changing
objective function coefficients. This means that the linear program
The new optimal solution
the one above but with a total cost of $ fill in the blank 51
.

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