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 Foundations0 Items• Throughput calculations
• Capacity planning
• Storage slotting engineering
• Material flow analysis
• Space optimization - Day 2: Advanced Layout Design0 Items• U-flow vs L-flow
• High-density storage modeling
• Travel time optimization
• Dock door capacity
• Simulation modeling - Day 3: Automation Technologies0 Items• AS/RS systems
• Robotics for picking
• AGVs and AMRs
• Conveyor systems
• Automation ROI - Day 4: Operational Optimization0 Items• Labor engineering standards
• Lean warehousing
• Workload balancing
• Error reduction algorithms
• Real-time monitoring - Day 5: Warehouse Optimization Project0 Items• Current state analysis
• Identify constraints
• Develop engineering solutions
• Evaluate cost-service impact
• Present redesigned layout







