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Global Logistics Trends &  Challenges ,[object Object],[object Object],[object Object],[object Object]
Warehousing  & Distribution Global  Transportation Manufacturing Logistics Health Care Logistics Resource Scheduling Supply Chain Strategy Humanitarian Logistics Supply Chain & Logistics Institute Research International Food Chains Proposed TIP Centers Network Singapore Costa Rica
Logistics Trends/Concerns ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Mega Trend ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Time Logistics Complexity Ability to Overcome Complexity Complexity Gap
Supply & Logistics Performance Drivers Time Cost Quality Variability Supply Chains/  Logistics Most Difficult
Variability in Container Transit Times ,[object Object],[object Object],[object Object],[object Object]
Shipping Lines Quote “Average” Times CSAV Houston Long Beach  Port Everglades  Pt Elizabeth San Antonio 31 days 13 days --- --- San Vicente 31 days 14 days 16 days 16 days San Antonio San Vicente Houston 20 days --- Port Everglades --- 17 days Pt Elizabeth --- 16 days
CSAV - Chile and USA West Coast Variability at each port call
CSAV - Chile and USA East Coast Variability at each port call Variability in canal transit
Variability for New Cars Waiting for Rail Shipment
Variability in Air Transit Times
Synchronization ,[object Object],[object Object],[object Object],Lead time distribution Inventory Run out point Days Average lead time Order point?
Wine Supply Chain Council
Shipping routes
Lead Time to Baltimore What is the impact of variability? What is causing the variability? What can/should we do about variability?
Temp History: South Australia to Baltimore Shippers typically have limited “forward” visibility
Improving Logistics Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions for Chile Industry ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Donald Ratliff: Cambios y Desafíos en la Logística Mundial

  • 1.
  • 2. Warehousing & Distribution Global Transportation Manufacturing Logistics Health Care Logistics Resource Scheduling Supply Chain Strategy Humanitarian Logistics Supply Chain & Logistics Institute Research International Food Chains Proposed TIP Centers Network Singapore Costa Rica
  • 3.
  • 4.
  • 5. Supply & Logistics Performance Drivers Time Cost Quality Variability Supply Chains/ Logistics Most Difficult
  • 6.
  • 7. Shipping Lines Quote “Average” Times CSAV Houston Long Beach Port Everglades Pt Elizabeth San Antonio 31 days 13 days --- --- San Vicente 31 days 14 days 16 days 16 days San Antonio San Vicente Houston 20 days --- Port Everglades --- 17 days Pt Elizabeth --- 16 days
  • 8. CSAV - Chile and USA West Coast Variability at each port call
  • 9. CSAV - Chile and USA East Coast Variability at each port call Variability in canal transit
  • 10. Variability for New Cars Waiting for Rail Shipment
  • 11. Variability in Air Transit Times
  • 12.
  • 13. Wine Supply Chain Council
  • 15. Lead Time to Baltimore What is the impact of variability? What is causing the variability? What can/should we do about variability?
  • 16. Temp History: South Australia to Baltimore Shippers typically have limited “forward” visibility
  • 17.
  • 18.

Editor's Notes

  1. Red = measurements at top of container Green = measurements in middle of container, shielded by other cartons of wine