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Coffee Roasting

Coffee is all about variety. And freshness, of course. Nowadays, customers can choose from whole bean or ground, hundreds of different roasts and packaging sizes and containers. No wonder coffee roasters face tough challenges in production scheduling.

As product mixes grow, and demand for output increases, they can be hard pressed to deliver on time and on budget. Market leaders use top-end production scheduling software to manage resource constraints and manage inventory flow.

With PlantTogether’s Galaxy APS platform, coffeemakers:

  • Update weekly production/ packaging schedules quickly to satisfy demand and safety stock objectives
  • Maximize order fill rates by factoring in latest forecast, order, and safety stock requirements
  • Manufacturer the right quantities of the right product without running out of bin space
  • Prevent flavor loss from long delays with flexibility to factor in degas times to maintain quality standards
  • Account for roasting, grinding, degas, flavoring, packaging capacities and timings for efficient product flow
  • Schedule roast batches to satisfy various flavor and packaging options with ease and efficiency

Robust Functionality for Coffee Scheduling:

  • Model run rates by product, by resource
  • Prevent quality issues from long delays between production steps with continuous flow rules
  • Limit movement on resource material from connections between roasters and grinders with inter-resource conveyance constraints
  • See immediate impact on inventory with drag-and-drop scheduling of orders
  • Manage availability of inventory storage in coffee bins to enhance production flow with intermediate storage constraints
  • Accommodate one resource feed to downstream resources with  shared-input constraints, such as package lines pack same roast type if fed from same roaster
  • Avoid accidental scheduling of sequences, and cross-contamination, with customizable rules (run decaf in planning cycle before caffeinated coffee)
  • Batch requirements into efficient campaigns with demand timing

 


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