👉 Scheduling math involves using mathematical models to optimize the allocation of resources over time, typically in contexts like production planning, transportation, and service operations. Key concepts include linear programming, where variables represent resource usage or time slots, constraints define feasible schedules (e.g., machine availability, labor hours), and objective functions aim to minimize costs or maximize efficiency. For example, a linear program might minimize total production time while meeting demand and respecting machine capacity limits, often solved via the simplex method. This approach balances competing priorities to create efficient, mathematically grounded schedules.
