
Production planning software should help a planner decide what can be made, when it can be completed and which constraints need action. Define the planning horizon, material availability, capacity rules and exception ownership before requesting automated schedules. A visually neat plan is not feasible unless its assumptions match operating conditions.

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Identify the planner's decisions
Separate demand, proposed plans and released work orders. Demand expresses a need; planning proposes how to meet it; release authorises execution. Decide which changes need approval and which can be recalculated without changing a commitment.
Ask what planners review at the start of a shift. Late materials, missing tooling, quality holds and incomplete work may matter more than optimisation features. Capture decisions currently handled through calls or spreadsheets.
Define the planning inputs
| Input | Requirements question | Exception to expose |
|---|---|---|
| Demand | Which orders or forecasts are eligible? | Changed date or cancellation |
| Material | What counts as usable and available? | Quality hold or delayed receipt |
| Capacity | Which resources and calendars constrain work? | Outage or missing shift |
| Routing | Which steps and alternatives are valid? | Alternative requires approval |
| Setup | When does changeover consume capacity? | Sequence change adds setup |
| Progress | Which events update the plan? | Completion later corrected |
Planning labels in a brochure do not prove these cases are covered. Request a demonstration using your inputs and assumptions.
Test feasibility with a small example
Suppose a hypothetical machine has eight available hours. Order A needs three run hours, order B needs four, and their changeover needs two. The requirement is 3 + 4 + 2 = 9 hours. Both cannot fit the eight-hour window under these assumptions.
If order B's material is also on quality hold, extra capacity would not resolve that constraint. The planner needs a visible decision: use an approved substitute, move the order or resolve the hold.
The numbers are illustrative, not production benchmarks. Real scheduling may also involve labour, tooling, batch sizes, parallel resources and partially completed work.
Design an exception queue
Each exception needs the affected order, reason, decision, owner and latest useful response time. Distinguish a predicted shortage from a rejected receipt; they may require different responses.
Keep proposed responses separate from approved changes. If software suggests moving a customer's date, identify who may make that commitment. Record manual override reasons so the system explains why execution differs from its proposal.
Connect planning with reporting
Define the reporting delay the plan can tolerate. A schedule using yesterday's completion data may be internally consistent but operationally unhelpful.
Agree how partial completion, downtime, rework and scrap affect remaining work. Test a correction after the next process begins. Decide which downstream plans need review rather than silently recalculating released commitments.
Questions manufacturing teams ask
Do we need an optimiser immediately?
Not necessarily. Transparent feasibility checks and an owned exception queue may solve the immediate problem. Evaluate advanced scheduling against representative constraints and measurable decisions.
Can planning work without accurate stock?
It can produce scenarios, but committed plans need an agreed view of usable materials and uncertainty. Mark uncertain inputs rather than presenting them as confirmed availability.
Prepare a planning workshop
Bring a shift calendar, competing orders and a recent shortage or outage. Use the manufacturing ERP guide and manufacturing software development overview to connect planning with execution.

