In a linear programming model, a solution that satisfies all but one of the constraints isMultiple…

➤ How can you modify a nearly feasible solution to make it feasible?
You can adjust variable values to satisfy the violated constraint, project the point onto the feasible region, or use Phase I of the simplex method with artificial variables to find a feasible start. Also check bounds and redundant constraints, and perform sensitivity checks to understand trade-offs between feasibility and objective value.