Campaign & Batch Planning

Revolutionize your manufacturing operations with our advanced campaign optimization models. We solve the "Campaign vs. Changeover" tension inherent in batch processing—whether that changeover is a color flush, an allergen or sanitation washout, or a kettle clean. Our engine integrates capacity planning, material requirements, and equipment sequencing to generate optimal production campaigns. We mathematically determine the ideal run length to balance inventory holding costs (including spoilage or shelf-life pressure where it applies) against the high cost of sequence-dependent changeovers.

Key Benefits

  • Increase production throughput through optimized campaign sequencing
  • Reduce sequence-dependent setup times (e.g., color or allergen changeovers)
  • Improve equipment utilization and reduce bottlenecks
  • Minimize work-in-process (WIP) inventory and cycle times
  • Enable reliable delivery schedules with finite capacity planning

Use Cases

  • Multi-line production scheduling with shared resources
  • Campaign planning for long-run efficiency (minimizing changeovers)
  • Batch blending and compounding with sequence-dependent CIP or washouts
  • Packaging-line campaigns synchronized to upstream batch or kettle output
  • Capacity planning and bottleneck identification with maintenance windows

Implementation Approach

We start by mapping your production processes, equipment capabilities, material flows, and changeover logic—including food & beverage sanitation or allergen rules when relevant. Our team develops custom optimization models that integrate with your MES and ERP systems, providing real-time scheduling recommendations. The solution includes advanced analytics for performance monitoring and continuous improvement, with user-friendly interfaces for production planners.

Tell us about your hardest planning problem.

We'll tell you in 20 minutes whether we can solve it.

Check Your Fit

Email: contact@wonforge.com

Based in Wilmington, DE, serving businesses across the U.S.