Removing a constraint can make an infeasible LP feasible by giving the solution more possible options. I can identify conflicting constraints by checking which constraints cannot be satisfied at the same time.

Removing a constraint can make an infeasible LP feasible because it may eliminate the restriction that prevents all constraints from being satisfied simultaneously. To identify the conflicting constraints, examine which constraints have no common feasible region, or systematically remove one constraint at a time and re-solve the model. If removing a particular constraint restores feasibility, that constraint is involved in the conflict, but it may not be the only cause because infeasibility can result from the interaction of several constraints.

Removing a constraint expands the search space by giving the solution more possible options, allowing an infeasible Linear Program (LP) to become feasible. Conflicting constraints can be identified by finding which specific constraints cannot be satisfied at the same time