AI for Process Optimisation & Operational Excellence
Overview
Operational excellence has always relied on data, but AI makes it possible to see patterns, predict problems and optimise processes continuously. This course combines proven improvement methods with AI tools, helping operations leaders reduce waste, improve flow and sustain performance gains.
Who should attend
Operations managers, continuous improvement specialists, Lean practitioners, and production and service supervisors.
Training methodology
Interactive presentations, live demonstrations of AI tools, hands-on exercises using participants' own work examples, case studies, group discussion, and a personal action plan.
Objectives
By the end of this course, participants will be able to:
- Combine Lean and continuous improvement with AI
- Use process data to find bottlenecks and waste
- Apply predictive analytics to operational planning
- Optimise resources and scheduling with AI
- Sustain improvements through smart monitoring
Course outline
Day 1Excellence Meets AI
- Continuous improvement principles
- What AI adds
- Data in operations
- Diagnostic exercise
- Excellence models overview
- Leadership role
Day 2Finding Waste and Bottlenecks
- Process mining
- Flow and capacity analysis
- Root causes with data
- Hands-on analysis
- Value stream mapping
- Quick wins
Day 3Prediction and Planning
- Demand and workload forecasting
- Predicting delays and defects
- Capacity planning
- Case study
- Inventory and supply planning
- Maintenance planning links
Day 4Optimisation
- Scheduling and resource allocation
- Simulation and what-if analysis
- Balancing cost, time and quality
- Exercise
- Energy and resource efficiency
- Optimisation tools
Day 5Sustaining Gains
- Smart dashboards and alerts
- Daily management systems
- Engaging frontline teams
- Improvement plan
- Standard work
- Recognising improvement
