# Order production planning and material scheduling

Synthetic business case

For one sales-order line, connect BOM, stock, purchase arrivals and the capacity calendar. Calculate feasible quantities and schedules before approving the current plan.

## Business question

How much of this order can the available materials and daily capacity support?

## Who it is for

Production and material planners, workshop managers and order-delivery teams

## Business objects

- Sales-order lines
- BOM and material stock
- Purchase arrivals and capacity calendar
- Plans, schedules and material-shortage alerts

## Try the workflow

1. Select an order line — Open the production panel from the guide and select line 10 of SO-000001. Inspect BOM, eligible stock, purchase commitments and workshop capacity.
2. Analyze quantity and scheduling evidence — Run analysis first and inspect feasible quantity, batch schedules and shortage evidence. The current algorithm handles one order without BOM scrap allowances; it is not global multi-order optimization.
3. Edit the order and recalculate — Change quantity or the required date in the order source. Confirm the old recommendation cannot be approved and regenerate it using stock less reservations, next-day purchase availability and daily capacity.
4. Inspect the approved plan — Generating a recommendation does not write a formal schedule. Approval requires current permissions, unchanged evidence and full order coverage. Then inspect the formal plan, schedule, shortage alerts and source citations.

## Adapt to your business

- Map order numbers and lines, BOM components, plants and workshops.
- Define eligible stock, reservations, purchase availability dates and inspection lead times.
- Validate one order within the current algorithm before scoping scrap allowances or multi-order optimization.

## Case package

Version: 0.1.0 · 119 rows · 32 resources · 27823 bytes

Package language: Chinese

SHA256: 671f7b5a1808e80424a58a1780873001c3569af1816dc1801987a4bcb00ccfb5

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Required capabilities: production-planning v1

This synthetic case is not a customer success story.