Question: Consider the following linear programming model and Analytic Solver Platform sensitivity output. MAX: 7 X 1 + 4 X 2 Subject to: 2 X 1

Consider the following linear programming model and Analytic Solver Platform sensitivity output.
MAX: 7X1+4X2
Subject to: 2X1+ X2<=16
X1+ X2<=10
2X1+5X2<=40
X1, X2>=0
Changing Cells
Cell Name Final
Value Reduced
Cost Objective
Coefficient Allowable
Increase Allowable
Decrease
$ B$4 Number to make: X160713
$ C$4 Number to make: X240430.5
Constraints
Cell Name Final
Value Shadow
Price Constraint
R. H. Side Allowable
Increase Allowable
Decrease
$ D$8 Used 1631642.67
$ D$9 Used 1011012
$ D$10 Used 320401E+308
What is the smallest value that the objective function coefficient for X1 can assume without changing the optimal solution?

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