Performance Materials

The Planning Problem

Performance materials plants are governed by physics that item masters and standard routings cannot express. Viscosity, color strength, cure windows, and pot-life tie production order to production order in ways standard ERPs treat as independent jobs. A lubricant blend sheet may encode light-to-dark sequencing in an engineer's head; a coatings campaign plan may assume fixed flush volumes per change—while reality is a curve: some transitions need a heel-compatible bridge grade, others need a full line flush and solvent recovery. 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, flush cost is X; if we run C then B, flush cost is Y" while also respecting kettle heat-up, let-down tank turns, and drumming-line synchronization. Pot-life and curing constraints are equally foreign: a batch that is valid on paper becomes scrap if it sits in a line that is still occupied, or if the next campaign cannot receive material before viscosity climbs out of spec. Slop oil, wash solvent recovery, and heel utilization 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 flush waste and idle time. WonForge models viscosity ladders, color and pigment hierarchies, cure and pot-life windows, and flush 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 lubricants, coatings, and adhesives, the cost of being wrong is asymmetric: a dark-after-light mistake may be recoverable with extra flush; a light-after-dark or incompatible resin sequence can foul a kettle, scrap intermediates, and idle packaging. 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.

Implementation Approach

We start by mapping your specific physical constraints—viscosity rules, color hierarchies, and curing windows. Our team builds a custom model that respects your "hard" physics while optimizing your commercial goals. We integrate with your formulation management system to ensure that every schedule is chemically valid and operationally executable, providing your planners with a tool that speaks their technical language.