Transcribed
A Machine Goes Down. How Should Your Production Plan React?
Sep 15, 2026 ·
1h 41m 42s
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A Machine Goes Down. How Should Your Production Plan React?
Description
When a critical machine goes down, ERP may still show capacity that no longer exists while the shop floor improvises. This episode guides production planners, plant managers and IT/OT architects...
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When a critical machine goes down, ERP may still show capacity that no longer exists while the shop floor improvises. This episode guides production planners, plant managers and IT/OT architects from disruption detection and impact tracing to finite-capacity rescheduling, so the factory gets a revised plan it can actually execute.
In this episode
Key takeaways
Explore more on M365.FM
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In this episode
- 00:00 – Intro: a machine outage is a planning event
- 01:07 – Separating real disruption from shop floor noise
- 06:57 – How long is the capacity gone?
- 13:03 – Production context and affected orders
- 25:51 – Bottlenecks, priorities and constraints
- 45:16 – Response options and finite capacity rescheduling
- 75:27 – Information flow from machine to planner
- 88:00 – Microsoft Fabric, Power BI and automation boundaries
Key takeaways
- Only a confirmed loss of capacity, judged by expected loss, recovery window and exposed orders, should trigger re-planning, not every PLC signal.
- Planners need a repair range with a confidence level, an impact list that explains dependencies, and a small set of response options tested with finite capacity.
- Fabric and Power BI provide governed facts and visibility, while scheduling logic proposes options and people approve the changes that reach the shop floor.
Explore more on M365.FM
- Episode page: the full episode with chapters and FAQ on machine outages and re-planning
- Microsoft Fabric – a governed shared data foundation for disruption facts, but not the scheduling engine itself
- Power BI – shows planners current outages, affected orders and scenario results, but does not issue a plan
- Microsoft Excel – useful for testing a planning idea, risky when it becomes the uncontrolled live schedule
- Related episode: Why AI Can't Optimize a Factory It Doesn't Understand
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
Information
| Author | Mirko Peters M365, Azure & AI |
| Organization | m365 FM |
| Website | www.m365.fm |
| Tags |
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