Resources
Ideas for manufacturingsoftware that lasts.
Curated by theme: how to keep a manufacturing system stable while the work around it changes — and where AI genuinely helps.
Theme 01
Adaptive manufacturing
A stable core with an application layer that keeps up with the work.
From the blog · 7 articles
Theme 02
AI & manufacturing
Where AI helps on the shop floor — and why it needs manufacturing context.
- AI-generated interfaces vs AI-generated systemsGenerating an app is now easy. Generating a manufacturing system is a different problem. Where AI adds value on the shop floor — and where it creates liabilities.5 min read
- Why AI needs manufacturing contextLanguage models are fluent; factories are specific. AI becomes useful on the shop floor only when it is grounded in the orders, resources, materials and history of a real plant.4 min read
From the blog · 30 articles
- From Decision Support to Bounded Autonomy: When Should Manufacturing AI Act?
- From Explanation to Recommendation: How AI Can Support Better Manufacturing Decisions
- Why Manufacturing Analytics Is Becoming Conversational
- From Manuals to Answers: How RAG Changes Access to Industrial Knowledge
- Why Manufacturers Need AI That Explains, Not Just Predicts
Theme 03
Planning & APS
Finite capacity, bottlenecks, scenarios and replanning on real data.
- MES + APS: planning on the same reality as productionA schedule is only as good as the data it starts from. Why advanced planning works best when it shares orders, resources, materials and progress with execution.5 min read
- Finite capacity planning: why reality always winsInfinite-capacity plans look good on paper and fail on the floor. What finite-capacity scheduling takes into account — and what it needs from your data.4 min read
From the blog · 12 articles
Theme 04
MES architecture
MES, ERP and the systems around them — who owns what.
- Build, buy or adapt: owning a manufacturing systemAI makes software cheaper to write, not cheaper to own. A practical way to decide what to build in-house, what to buy and what to adapt.5 min read
- ERP and MES: who owns whatThe ERP runs the business; the MES runs production. A clear division of responsibilities avoids duplicated data, fragile integrations and spreadsheets in between.4 min read
From the blog · 122 articles
- Why Manufacturing Performance Cannot Improve Without Standardization
- From Data Collection to Operational Excellence: Why MES Is More Than a Monitoring Tool
- The Hidden Cost of Manual Production Tracking
- Why Real-Time Data Alone Doesn't Improve Manufacturing
- Why Manufacturing Decisions Need Context, Not Just Data
Theme 05
Quality & traceability
Process control, genealogy and quality decided during production.
From the blog · 53 articles
- Why Industrial AI Needs Traceable Answers
- From Standards to Continuous Improvement: How MES Helps Detect Process Drift
- AI Inspection on the Assembly Line: 24 Hours of Non-Stop Quality
- MES + Computer Vision Integration: How to Achieve Complete Traceability
- Optimizing Quality with Data: From Defect Detection to Process Improvement
Theme 06
Operational safety
Near misses, risk conditions and human oversight.
From the blog · 15 articles
- From Safety Alerts to Risk Patterns: How AI Helps HSE Prioritize What Matters
- Why Near-Misses Are the Most Valuable Safety Data You're Not Using
- From Incident Reporting to Predictive Safety: How Data Is Changing HSE
- Beyond PPE: How AI Identifies Hidden Safety Risks
- From Reaction to Prevention: How Real-Time Data Is Transforming Workplace Safety
The archive
Every article, in two languages.
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