Final answer:
Increasing the coefficient of X2 by 1 while remaining within the allowable increase will likely raise the objective function value without changing the optimal solution set, given X2's positive contribution.
Step-by-step explanation:
If the coefficient of X2 in the linear programming problem were to increase by 1, the objective function would change from MAX 31X1+35X2+32X3 to MAX 31X1+36X2+32X3.
Since the optimal solution indicates that the upper limit for the coefficient of X2 can go up to 36.167 without altering the current basis (solution set), increasing the coefficient of X2 by 1 would still fit within this range, and it would likely result in an increase in the objective function value, assuming that the variable X2 remains positive in the optimal solution.
This is because each unit of X2 would contribute more to the objective function value.
However, we must note that the change in the coefficient could potentially alter the optimal solution if the new solution set becomes more profitable, leading to a new optimal mix of X1, X2, and X3.