Course Objective & Scope
In manufacturing companies, engineering, production planning, maintenance, quality and HSE teams work with both machine/MES data and thousands of pages of technical specs, SOPs, 8D reports and shift logs. This course shows how industrial machine learning (predictive maintenance, visual inspection, energy optimisation) and generative AI (plant knowledge bases, 8D/CAPA copilots, shift and OEE reporting) work together on the shop floor.
Participants prioritise use cases around real bottlenecks in their own plants, producing an 8D/root-cause prompt template, a plant AI safety guide and an ROI evaluation scorecard.
Who Should Attend?
- Plant managers, production and operations directors
- Production planning, process improvement, Lean/OPEX and industrial engineers
- Maintenance, quality assurance, R&D and HSE managers
- Digital transformation and Industry 4.0 / OT-IT leads in manufacturing
Key Takeaways
- Match predictive AI, computer vision and generative AI to the right shop-floor problems
- Extract root causes and action summaries from downtime logs, shift notes and OEE tables
- Accelerate 8D, 5-Whys and CAPA reports for customer complaints and non-conformities
- Capture veteran technician and engineering know-how into searchable SOP and maintenance memory
- Enforce OT/IT cybersecurity, CAD/spec confidentiality and human sign-off rules on the plant floor
Curriculum
Industrial AI Map: Predictive, Vision and Generative AI
- How classical ML on sensor/MES data, computer vision and LLMs complement each other
- Proven use cases across production, maintenance, quality, planning and HSE
- Common pitfalls in data readiness and OT-IT integration
Production Performance, OEE and Shift Management
- Generating daily and weekly plant summaries from MES/ERP downtime and scrap data
- Turning free-text shift logs into structured fault and action records
- Preparing data briefs for bottleneck and cycle-time improvement reviews
Quality Management, 8D/CAPA and Technical Documentation
- Searching historical non-conformities for similar root causes and corrective actions
- Drafting 8D reports, FMEA inputs and SOPs aligned with IATF 16949 and ISO 9001
- Comparing customer technical specifications against plant capabilities
Institutional Maintenance Memory and HSE Applications
- RAG-based troubleshooting assistants over equipment manuals and work-order history
- Extracting HSE risk trends from near-miss, incident and audit logs
- Creating onboarding job aids for new operators
Industrial Data Security, ROI and Implementation Roadmap
- Protecting CAD drawings, formulas/BOMs and customer IP
- Selecting scalable plant AI projects and avoiding pilot purgatory
- 90-day plant implementation and governance checklist
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