Introduction
Modern warehouses leverage automation, data, and engineering principles to maximize throughput and accuracy. This advanced course covers warehouse design, engineering calculations, automation tools, and performance optimization. Participants will evaluate high-density storage, robotics, and advanced picking systems. The focus is on optimizing complex, high-volume environments.
Course Objectives
- Design optimized warehouse layouts
- Evaluate automation technologies
- Apply engineering methods
- Improve warehouse performance
- Reduce operational costs
Target Audience
- Warehouse engineers
- Industrial engineers
- Automation specialists
- DC managers
- Process improvement leaders
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Warehouse Engineering Foundations• Throughput calculations
• Capacity planning
• Storage slotting engineering
• Material flow analysis
• Space optimization0 - Day 2: Advanced Layout Design• U-flow vs L-flow
• High-density storage modeling
• Travel time optimization
• Dock door capacity
• Simulation modeling0 - Day 3: Automation Technologies• AS/RS systems
• Robotics for picking
• AGVs and AMRs
• Conveyor systems
• Automation ROI0 - Day 4: Operational Optimization• Labor engineering standards
• Lean warehousing
• Workload balancing
• Error reduction algorithms
• Real-time monitoring0 - Day 5: Warehouse Optimization Project• Current state analysis
• Identify constraints
• Develop engineering solutions
• Evaluate cost-service impact
• Present redesigned layout0
Instructor
Lessons:
