APS Software vs. ERP: What's the Difference?
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APS Software vs. ERP: What's the Difference?
Descripción
An ERP plan full of dates can look certain while the factory cannot possibly meet it. This episode is for manufacturing planners, operations leaders and IT architects deciding between ERP...
mostra másIn this episode
- 00:00 – One order, two views of the factory
- 04:49 – What ERP does well
- 09:52 – Why ERP plans look more certain than they are
- 14:38 – What APS software actually does
- 24:27 – The Monday morning disruption test
- 34:28 – APS data: the constraint layer
- 73:37 – APS does not replace the planner
- 83:20 – Architecture and Microsoft's role
Key takeaways
- ERP is the governed system of record for demand, supply, inventory and transactions, while APS tests whether the plan can actually run under finite capacity and real constraints.
- A feasible schedule depends on detailed constraint data such as calendars, qualified labor, tools, setup rules and material readiness, plus explicit business priority rules.
- APS supports rather than replaces the planner, and clear ownership across ERP, APS and MES matters more than the number of integrations.
Worth quoting
“Confusion starts when a planned ERP date gets treated as proof that the factory has the capacity to deliver.” – Mirko Peters (04:42)
“somebody still has to decide the order in which those jobs run, where the setup time goes, and which job waits when the day runs out. The date didn't solve those decisions, it postponed them to whoever releases the work.” – Mirko Peters (11:09)
Explore more on M365.FM
- Episode page: the full episode with chapters, quotes and FAQ on APS versus ERP
- Microsoft Excel – why planners keep spreadsheets through APS projects and what those workbooks reveal
- Microsoft – positioned around the planning process to carry, govern and analyze data, not inside scheduling logic
- Microsoft Azure – described as an integration layer that routes ERP changes and production events to APS
- Related episode: Why Your ERP Can't Build an Optimal Production Schedule
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Información
| Autor | Mirko Peters M365, Azure & AI |
| Organización | m365 FM |
| Página web | www.m365.fm |
| Etiquetas |
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