AI in Lean Manufacturing: 2-Day Certification Program by Tonex
Lean Manufacturing aims to eliminate waste (Muda), variability (Mura), and overburden (Muri) to create streamlined, efficient, and value-driven production processes. This 2-day certification explores how Artificial Intelligence (AI) enhances Lean practices by driving real-time insights, process automation, and predictive capabilities that lead to continuous improvement and smarter operations.
Participants will gain both theoretical knowledge and hands-on exposure to AI applications that align with Lean principles.
Who Should Attend:
- Lean Practitioners and Six Sigma Professionals
- Industrial Engineers and Process Engineers
- Manufacturing Managers and Supervisors
- AI Engineers focused on manufacturing
- Continuous Improvement Leaders
- Digital Transformation Specialists
Certification Title:
Certified AI in Lean Manufacturing Professional (CAILMP)
Day 1: Foundations & Applications of AI in Lean
Module 1: Introduction to Lean & AI Synergy
- Overview of Lean (Muda, Mura, Muri)
- AI’s role in enhancing Lean
- AI vs. traditional automation
- AI-assisted value stream mapping
- Data basics for Lean AI
- Human + AI decision flow
Module 2: Predictive Maintenance with AI
- Using AI-powered sensors and IoT
- Sensor feature extraction
- RUL-based maintenance planning
- Reducing false alarms
- Case studies: Reducing unplanned downtime
- Workshop: Setting up predictive alerts in a simulated factory environment
Module 3: AI-Powered Quality Control
- Vision systems and machine learning for defect detection
- Real-time QC and Six Sigma alignment
- Inline defect detection
- Labeling and ground truth
- Scrap vs. escape tradeoffs
- Demo: Training a defect classification model
Module 4: Smart Process Optimization
- Real-time analytics and decision-making
- Identifying bottlenecks with AI
- Cycle-time prediction
- Bottleneck forecasting
- Kaizen ROI ranking
- Workshop: Using AI tools to map and improve workflows
Day 2: Intelligent Operations & Future Planning
Module 5: AI-Driven Inventory Optimization
- Demand forecasting with ML
- AI in Just-In-Time (JIT) inventory
- Safety stock tuning
- Lead-time prediction
- Supplier risk scoring
- Case study: Reducing excess inventory using AI tools
Module 6: Autonomous Material Handling
- AGVs, robotics, and machine learning
- Path optimization and traffic control in logistics
- Fleet task scheduling
- Indoor navigation basics
- Safety and geofencing
- Simulation: Implementing a basic AGV route optimization model
Module 7: Building a Digital Lean Strategy
- Integrating AI into Lean transformation
- Overcoming challenges and change management
- Lean AI KPI design
- Model governance basics
- Pilot-to-scale rollout
- Digital Kaizen: Continuous improvement using AI insights
Module 8: Certification Exam & Project Review
- 40-question multiple-choice exam
- Group presentation: AI-enhanced Lean use case
- Certification award ceremony
Exam Domains
- Introduction to AI in Lean Manufacturing
- AI for Process Optimization
- Predictive Analytics and Quality Improvement
- AI-Driven Supply Chain Management
- Human-AI Collaboration in Lean Environments
- Future Trends and Sustainability with AI
Course Delivery:
The course is delivered through lectures, interactive discussions, and project-based learning, led by experts in AI and Lean Manufacturing. Participants also gain access to online resources, including case studies, readings, and practical tools.
Assessment and Certification:
Participants are assessed through quizzes, assignments, and a capstone project. Upon successful completion, they receive a certificate in AI in Lean Manufacturing.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the AI in Lean Manufacturing Certification Program exam, candidates must achieve a score of 70% or higher.
Start your journey toward mastering AI in Lean Manufacturing today. Enroll now and elevate your skills to drive efficiency and innovation!