The amount the objective function coefficient of a decision variable would have to improve before that variable would have a positive value in the solution is the

Reduced cost

Explanation:

Reduced cost is the cost that determines about increment and decrements taking place in objective coefficient before optimal solution gets altered.It is also denoted as opportunity cost in terms of linear programming and analysis field.

This coefficient raises up for maximization issue and decreases if minimization issue occurs for improvement prior variable persist a positive value for the optimal solution.

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well, i can't read it so i'll ask you questions about it : )

if you were a reader and you read the introduction, would you want to read more?

does it start with a question? if so, is it something you would want to read about?

and ask any friends or family for their opinion : )