Constraints are the algebraic limits that define what is operationally possible in Linear Programming, preventing models from outputting unrealistic results like infinite profit. They are important because they establish the feasible region where all physical and financial restrictions are met, forcing realistic trade-offs across finite capacities. Common examples include limited machine hours for processes like welding, fixed worker-hours for assembly, strict spending budgets, and capped raw material inventories