If a decision variable is not positive in the optimal solution, its reduced cost is the amount its objective function value would need to improve before it could become positive.
The opportunity/reduced cost of a certain decision variable may be understood as the rate at which the profit value of the objective function will decrease with each unit change in the optimal value of the decision variable while all other data are held constant.
The range in which the coefficient of a particular decision variable in the objective function may be increased/decreased without changing the best solution when all other data are fixed is indicated by the allowable increase/decrease associated with the original coefficient of the decision variable.
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