SyteLine MRP Health Check: Is Your Planning Engine Trustworthy?
This free SyteLine MRP health check diagnoses why your planning output is noisy, distrusted, or ignored, and tells you exactly where to intervene. It is designed for materials managers, planners, and operations leaders running Infor SyteLine or CloudSuite Industrial in discrete manufacturing. Ten questions score the factors that actually determine MRP performance: inventory and BOM accuracy, lead-time realism, action message discipline, expedite rates, demand quality, and planner trust. You get a scored band with specific fixes, ordered by impact, in about three minutes.
1. What is your cycle-count inventory record accuracy?
MRP output can never be better than the inventory balances feeding it. World class is 98%+.
2. How accurate are your bills of material?
3. How well do routing times and lead times reflect reality?
Inflated lead times are the most common cause of excess inventory and early releases.
4. How large is your open MRP action message (planner workbench) backlog?
5. How reliable is your MRP/APS regeneration process?
6. What share of your purchase orders and jobs are expedited?
7. How are safety stocks and order modifiers (min/mult, order policies) managed?
8. What percentage of your open shop orders are past due?
9. How disciplined is your demand input (forecasts and customer orders)?
Garbage demand in means garbage supply plan out, no matter how well MRP is configured.
10. How much do planners actually trust and use MRP output?
Why MRP fails: it is almost never the software
In hundreds of struggling SyteLine planning environments, the same pattern repeats: the MRP engine is computing correctly on data that is wrong. Inventory accuracy below 95% guarantees phantom shortages and surprise stockouts. Padded lead times, set defensively at go-live and never revisited, tell MRP to order too early and too much, inflating inventory 15-30%. And once planners stop trusting output, they retreat to spreadsheets, which starves the system of timely transactions and makes the data worse, a self-reinforcing spiral. This assessment weights foundational data questions heavily because no amount of parameter tuning fixes MRP running on a fiction.
Benchmarks used in this assessment
The scoring thresholds come from widely accepted manufacturing planning standards and what we observe separates high performers from strugglers in SyteLine shops:
- Inventory record accuracy of 98%+ and BOM accuracy of 99%+ are the recognized thresholds for MRP to be reliable.
- High performers keep expedited orders under 10% of releases; strugglers routinely exceed 40%.
- Past-due shop orders under 5% indicates a plan the shop can actually execute.
- A planner workbench reviewed daily with near-zero stale messages is the single best behavioral predictor of MRP trust.
From score to fix: how Netray helps
A low score is actually good news in disguise: MRP problems are among the highest-ROI fixes in ERP, because expediting, excess inventory, and missed ship dates are all directly measurable costs. Netray runs focused MRP recovery engagements for SyteLine: a 2-3 week diagnostic that pinpoints root causes with data analysis rather than opinions, followed by targeted remediation of parameters, data processes, and planner workflows. We also build AI-assisted planning agents on top of SyteLine that triage action messages, flag demand anomalies, and auto-execute routine reschedules, so your planners spend their time on the exceptions that matter. Most clients see expedite rates fall measurably within one quarter.
Frequently Asked Questions
Why does SyteLine MRP suggest orders we do not need?
The usual suspects are inaccurate on-hand balances, stale demand (old forecasts or orders that should be closed), inflated safety stocks, and order modifiers like minimums and multiples that no longer match real usage. MRP is deterministic: unwanted suggestions always trace back to a data input. Start by auditing the pegging on a few bad suggestions; it reveals the offending input quickly.
Should we use SyteLine APS instead of classic MRP?
APS adds constraint-based, capacity-aware planning and can be a major upgrade, but it amplifies whatever data quality you have. If your assessment score is below roughly 50%, fix inventory accuracy, BOMs, and routings first; APS on bad data produces confident nonsense faster. Shops scoring 70%+ with capacity bottlenecks are the ones that get real value from moving to APS or finite scheduling.
How long does it take to fix a broken MRP environment?
Meaningful improvement typically takes one to two quarters. The sequence matters: clean stale orders and messages in weeks one and two, launch cycle counting immediately since accuracy builds over months, re-baseline lead times and safety stocks for high-value items in the first month, then rebuild planner trust through a pilot product line. Full cultural adoption, where spreadsheets genuinely retire, usually follows within six months of visible wins.
Get a free MRP diagnostic call with a SyteLine planning specialist and turn your score into a 90-day recovery plan.
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