Industrial Materials
The Planning Problem
Industrial materials plants are governed by physics that item masters and standard routings cannot express. Grade transitions, melt windows, viscosity targets, and off-spec disposition tie production order to production order in ways standard ERPs treat as independent jobs. A compounding plan may encode a grade ladder in an engineer's head; a minerals campaign may assume fixed transition times per change. Reality is asymmetric: some transitions need a bridge grade, others need purge and rework, and continuous melt lines shed throughput every hour a grade switch runs long. When those rules live in Excel, they are fragile, unauditable, and they snap under volume growth or SKU proliferation.
Standard ERPs typically optimize setup with a single number per product or per resource. They do not natively search over "if we run A then B, transition cost is X; if we run C then B, transition cost is Y" while also respecting melt rates, extruder draw, kettle heat-up, and downstream packaging synchronization. Melt, cure, and pot-life constraints are equally foreign: a batch that is valid on paper becomes scrap if it sits on a mis-scheduled line, or if the next campaign cannot receive material before viscosity climbs out of spec. On continuous lines, slowing to switch grades sheds tons per hour that never come back. Off-spec, transition material, and rework are often where margin lives, and also where generic tools are blind, because they do not connect disposition rules to sequencing decisions.
Planners respond by padding campaigns, running familiar sequences, and leaving money in off-spec scrap, slow transitions, and idle capacity. WonForge models viscosity and grade ladders, melt and cure windows, and transition economics explicitly, so you optimize the real trade-off between long campaigns, customer mix, and physical transitions, not a simplified routing file that omits the physics buyers actually pay for.
In polymers, minerals, coatings, lubricants, and adhesives, the cost of being wrong is asymmetric: some transition mistakes are recoverable with extra purge; an incompatible grade sequence can foul a line, scrap intermediates, and idle downstream assets. That asymmetry belongs in the objective function and the feasible region, not in a planner's memory. Encoding it is what turns your schedule from a calendar into a decision system that protects margin under real operating rules.
Key Benefits
- ✓Recover off-spec and transition material through optimized grade sequencing, instead of writing it off as generic yield
- ✓Recover extruder and line throughput lost to slow grade transitions
- ✓Manage melt, cure, and pot-life windows across continuous and campaign lines
- ✓Replace fragile Excel transition matrices with logic the whole team can audit
- ✓Synchronize continuous and campaign lines in a single plan, instead of scheduling them in separate silos
Use Cases
- •Polymer compounding and extrusion grade-ladder optimization
- •Continuous minerals and melt-line campaign sequencing
- •Coatings and lubricants blending with asymmetric flush transitions
- •Adhesive manufacturing with cure-time and pot-life constraints
- •Off-spec rework and transition-material disposition tied to sequencing
Implementation Approach
We start by mapping your specific physical constraints: grade ladders, melt and viscosity rules, cure windows, and off-spec disposition policies. Our team builds a custom model that respects your hard physics while optimizing your commercial goals. We integrate with your ERP and formulation systems so every schedule is operationally executable, providing your planners with a tool that speaks their technical language.
Tell us about your hardest planning problem
We'll tell you in 20 minutes whether we can solve it.
Email: contact@wonforge.com
Based in Wilmington, DE, serving businesses across the U.S.