Production scheduling software turns orders into a sequence of jobs against real capacity, materials and changeovers. What it must model, and why most schedules fail on the constraint nobody entered.
Production scheduling software decides what runs on which machine, in what order, starting when. The hard part is never the arithmetic — it is that the real constraint is often something nobody put in the system: one operator certified on the press, a single fixture shared between two cells, a drying step that cannot be compressed, or a changeover that takes four hours between two particular products but twenty minutes otherwise.
A schedule nobody follows is worse than none, because it absorbs effort and supplies false confidence to sales. Credibility goes in one of two ways: the model omits a constraint and produces sequences the floor knows are impossible, or the data is stale — routings that were never updated, cycle times from before the new machine, inventory that does not match the racks. Both show up the same way, as supervisors quietly running their own list on paper, and that is the symptom worth investigating before buying anything.
Measure schedule adherence before and after. If the floor followed the sequence 60% of the time on paper and 62% with the software, the problem was never the scheduling algorithm and the licence will not fix it.
Ettex Sheets covers the single-bottleneck case realistically: jobs with quantities, routings and due dates, a sequence per resource with changeover allowances, and an adherence column filled in daily. It is a planner's tool rather than an optimiser, and for a plant with one real constraint it answers the same question a production schedule has to answer every morning.
Planning decides what to make and roughly when, usually in weeks or months. Scheduling sequences specific jobs on specific resources in hours and days, against finite capacity.
It is more realistic, but it demands accurate routings, changeovers and constraints. Fed poor data it produces precise-looking sequences the floor cannot run, which erodes trust faster than a rough plan would.
Daily at minimum, with the ability to rerun on disruption. A frozen near-term window keeps that from turning into a sequence that changes under people's hands every hour.
Learning to price a job means building up labour, materials and overhead recovery, then adding margin deliberately. The arithmetic trades get wrong, and why busy years still end flat.
Job estimating software builds quotes from labour, materials and margin rather than from instinct. What it needs to do, where estimates go wrong, and how to feed actual costs back into the next quote.
Job costing software assigns labour, materials and overhead to each job so margin is visible per job rather than per month. What it must capture, and how to job cost properly before buying anything.