Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Dish Supply Chain: Journey to Collaborative Planning


Published on

View the Slideshare presentation on how Dish Network is planning to boost profits and reduce the cost of holding inventory by eliminating manual, spreadsheet-driven processes.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Dish Supply Chain: Journey to Collaborative Planning

  1. 1. DISH Supply Chain Journey to Collaborative Planning
  2. 2. Sid Powar Senior Supply Chain Manager Material Planning & Inventory Control Steve Plamondon Practice Director Business Planning
  3. 3. Agenda • About DISH • DISH Products & Awards • Process Flows • Finished Goods/Receivers • Repair Parts • Challenges • Solutions • Comparative Analysis • Anaplan • Demo • Benefits • Takeaways • Q&A
  4. 4. About DISH Dish joined S&P 500 on March 13, 2017
  5. 5. DISH Products & Awards
  6. 6. Receiver Return Forecast Receiver Model Assortment % Receiver Demand Plan Receiver Refurbishment Plan (Available-to-Promise) New Receiver Purchase Plan New Customer Acquisition Forecast Existing Customer Upgrade Forecast Existing Customer Churn Forecast Process Flow: Finished Goods/Receivers Goal: Maximize Inventory Utilization
  7. 7. Process Flow: Repair Parts Planning Receiver Refurbishment Requirements Calculated Receiver Refurbishment Repair Part Usage Rates Historical Receiver Refurbishment Repair Part Usage Receiver Repair Parts Bill of Materials (BOM) Receiver Repair Part On-Hand Inventory By Location Receiver Repair Part Lead Time / MOQ Receiver Repair Part ABC/XYZ Classification (WOS Target) Receiver Repair Part On-Order By Location Receiver Repair Part Supply Plan Receiver Repair Part Recommended Purchases Receiver Repair Part Available-to-Promise Receiver Repair Part Recommended Location Transfers Receiver Repair Part Demand Plan Inventory Balancing / Purchases
  8. 8. Challenges • Surveyed planners across multiple sites and found 500+ spreadsheets used • Previous MS Excel tool had limited capacity and was: • Slow to open and save • Prone to crash and caused loss of work • Single user access but multiple user consumption • Not able to handle business changes • Not BOM dependent • Not real-time • Inability to measure forecast accuracy/ variance • All 10,000+ SKUs managed equally and redundantly across sites
  9. 9. Solution: Comparative Analysis (2013-15)
  10. 10. Solution: Anaplan • Customized to DISH processes • Scalable for future growth/ new business opportunities • Real-time visibility to latest data across multiple users • Flexibility to make continuous improvements • Allow for sharing information and visibility in end-to-end supply chain
  11. 11. Demo
  12. 12. Benefits • Measure Forecast Accuracy for multiple time periods • Drive Efficiency by saving 2 hours per planner per day • Manage by Exceptions • Complex calculations used to make recommendations to the planners • Example: List of SKUs with potential to stock out within lead time • Add or modify products and categories easily • Able to perform ‘what if’ scenario planning quickly
  13. 13. Takeaways • Build a good project team and select your best model builder • Plan your initial use case for a quick win • Rethink how data is constructed and interpreted • Automate process and data inputs early • Consistently evaluate and prioritize use cases • Build relationships with peer customers • Business processes will evolve based on new insights