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Supply chain glossary

Production Scheduling

How production scheduling turns the weekly plan into a sequence of orders on each line, and why the order of runs changes how many hours a line loses to changeovers.

29. october 2026

3 min

Production Scheduling

Production scheduling is the process of assigning production orders to specific resources and time slots – which order runs on which line, in what sequence, with what start and end time. It sits below the master production schedule: the MPS decides how much of each product to make in a week, the schedule decides the order of runs within shifts and accounts for changeovers, material availability and crews.

Schedules are built forward from the earliest possible start or backward from the due date, and either with infinite capacity (orders are placed on the timeline and overloads are resolved afterwards) or with finite capacity, where an order moves until the resource is free. Simple dispatch rules decide what runs next when a line becomes free: earliest due date, shortest processing time, or the order with the least slack. Advanced planning and scheduling (APS) systems combine these rules with optimization across several constrained resources at once.

Production scheduling in practice

Where changeover time depends on what ran before, the sequence alone changes capacity. Take a filling line with three colors and one cycle per day: moving to a darker color takes 20 minutes, moving to a lighter one needs a 90‑minute clean.

  • Light – medium – dark, then back to light the next day: 20 + 20 + 90 = 130 minutes per cycle.
  • Dark – medium – light, then back to dark: 90 + 90 + 20 = 200 minutes per cycle.
  • Difference – 70 minutes a day, 5.8 hours over a five‑day week, with the same orders and the same volume.

Due‑date dispatching ignores this, so a schedule that sorts orders only by delivery date can lose capacity that the capacity plan assumed. The opposite rule fails as well: a fixed setup‑optimal wheel delays urgent orders until their color comes round. A workable schedule keeps the wheel and defines when an order may break it, with the cost of the extra clean known in advance. A second check belongs at release: a schedule built against planned material receipts is feasible only if the components are physically in stock when the order starts.

Logio tests sequencing rules, campaign lengths and shift patterns before they reach the shop floor through dynamic simulation, and sizes lines and crews in production capacity planning projects. The demand that feeds the plan can come from demand forecasting in Veritico STOCK.

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