Consider the following linear program, which maximizes profit for two products--regular (R) and super (S):
MAX 50R + 75S
s.t.
1.2 R + 1.6 S ? 600 assembly (hours)
0.8 R + 0.5 S ? 300 paint (hours)
. 16 R + 0.4 S ? 100 inspection (hours)
Sensitivity Report:
Cell $ B$7 $C $7 Name Regular = Super = Final Value 291.67133.33 Reduced Cost 0.000.00 Objective Coefficient 5075 Allowable Increase 7050 Allowable Decrease 2043.75
Cell Name $E$3 Assembly (hr/unit) $E$4 Paint (hr/unit) $E$5 Inspect (hr/unit) Final Value 563.33300.00100.00 Shadow Price 0.0C33.33145.83 Constraint R.H. Side 600300100 Allowable Increase 1$E+3039.2912.94 Allowable Decrease 36.6717540
-The optimal number of regular products to produce is ________, and the optimal number of super products to produce is ________, for total profits of ________.
Technology
The application of scientific knowledge for practical purposes, especially in industry and everyday life, including digital, mechanical, and medical advancements.
Labour Productivity
A measure of economic performance that compares the amount of goods and services produced with the number of hours worked.
Manhole Covers
Heavy, typically circular plates that cover manholes, providing access to underground utilities while preventing accidents or unauthorized entry.
Foundry
An industrial facility where metals are melted and cast into shapes by pouring the molten metal into molds.