Oracle Fusion Supply Planning Checklist
A supply plan is only as good as the data it consumes. This checklist covers the setup, data collection, attributes and run discipline that decide whether Oracle Fusion Supply Planning produces recommendations a planner can trust.
0 of 31 items complete
10 critical items still open - these are the highest-risk gaps.
Plan setup and scope
Data collection
Item and sourcing attributes
Bills, routings and capacity
Plan run and exceptions
Mark each item as done. Treat unfinished critical items as blockers for a plan run you intend to trust. A plan built on bad item or sourcing data produces confident but wrong recommendations.
Planning data health check
Optional: have an expert look at your item and sourcing data for the gaps that distort supply plans.
Optional. The tool and every export work without this. No spam.
How to use the checklist
Work through the groups in order. Plan setup first, because scope decisions drive everything else. Then data collection, since a plan run can only see what has been collected. Critical items are blockers: do not schedule a go live plan until they are complete. Export the checklist to PDF for a design authority or to Excel to assign owners and dates for each open line.
Why data collection matters most
Planning works on collected data. If collection is behind or partial, the plan will recommend orders for demand that was already supplied. Reconcile counts of items, on hand quantity, open work orders and purchase orders against the source after each cycle during testing. Assign a single person to review collection errors every day. This one habit prevents most mysterious plan results.
Attributes and sourcing
Planners blame the tool for results that come from missing lead times, absent sourcing rules or odd order modifiers. Review the item attributes systematically, not by sampling. A good test is to list planned items with no sourcing rule or with a lead time of zero and ask whether that is truly intended. Many go live problems are found with that single query.
- Planned items with no sourcing assignment
- Items with zero or default lead time
- Order modifiers set far above typical demand
- Mismatched make or buy flags
Running and trusting the plan
Run a baseline plan on realistic volumes and compare a handful of items by hand: the demand, the supply, the net and the recommendation. If a planner can follow the logic for ten items, trust grows. Record run duration so you know if it fits your window, and keep one named owner for exception thresholds so they do not drift.
Frequently Asked Questions
What is the first thing to check when a plan looks wrong?
Check what was collected. Compare the collected on hand, open orders and demand to the source. Many wrong-looking plans are simply planning on stale or partial data rather than showing a logic defect.
Do I need sourcing rules for every planned item?
Planned items need a defined source, whether through sourcing rules and assignment sets or item defaults, so the plan knows whether to make, buy or transfer. Items without a source commonly produce exceptions or no recommendation.
How often should planning data be collected?
As often as the planning cadence requires, and always before the plan run that will be acted on. Many teams schedule an incremental collection before each run and a full collection less often. Agree it with planners.
Is this checklist only for new implementations?
No. It is also useful as a health check on a live system, particularly after a quarterly update, an acquisition of new plants or a change in sourcing policy.
If your planners want to ask questions across plan output and ERP transactions, Netray can build a private, read-only assistant on top of your data. The checklist is useful without it.
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