Site Details
Procter & Gamble operates one main plant in Lima, Ohio, that used seven nearby satellite warehouses for storage. Across this campus, there were 250+ outbound full-vehicle shipments per day. Of these, 85% were drop and hook, and 15% were live load.
Challenges
Warehouse and campus activity scheduling required a high-level of manual effort. Based on who was on shift and the need of the day, the planning process has many variabilities when sourcing loads. Beyond that, volatility in the production schedule and volume increased planning complexity. These factors often resulted in imperfect schedules requiring many bring-backs from the satellite warehouses to the plant to complete shipments.
AutoScheduler Implemented Solutions
AutoScheduler doubled the trucks shipped from the plant directly to customers without increasing network inventory, reduced shuttle moves involving outside warehouses by nearly 50%, and reduced workforce planning from 8 hours to 20 minutes per day. They also increased throughput in a product crunch by automating planning (Load Now Button) and reduced cuts, substitutions and delays.
As a result, direct dock from plant went from 57% to 83.4% and bring-backs went from 16% to 8.7%.
About AutoScheduler.AI
AutoScheduler.AI is a supply chain analytics company focused on distribution center optimization that accelerates existing WMS capabilities with Intelligent Warehouse Orchestration. AutoScheduler's powerful yet intuitive platform helps streamline operations across your facility by seamlessly integrating with existing WMS and ERP systems. It provides dynamic dock scheduling, level loading labor, balancing inventory overflow, proactively cross-docking, eliminating redundant workforce allocation, and more. For more information, contact www.autoscheduler.ai. 