Specialty Chemicals

Optimize reactor campaigns, multi-stage formulations, and sequence-dependent cleaning/changeovers to maximize yield where standard ERPs and Excel fail.

Specialty plants break standard ERPs when the CIP matrix is asymmetric, intermediate tanks create mass-balance blocking that routings ignore, and reactions yield co-products and solvents whose disposition paths must stay coupled to the primary schedule. WonForge models sequence-dependent changeovers, tank farm logic, and multi-stream mass balance so the plan stays executable on the floor.

Implementation Approach

Our chemical industry expertise begins with deep process understanding of complex formulation structures, multi-stage routing, and co-product relationships. We develop models that handle intricate formulations with multiple levels, reaction sequences, and material transformations. Implementation includes pulling data from your ERP system through our connector, integrating complex routing logic, and managing co-product and by-product relationships.

Key Benefits

✓Optimize complex reactor sequences with multiple reaction stages
✓Handle multi-level formulations with intricate dependencies
✓Minimize waste and maximize yield through precise process control
✓Reduce cleaning downtime with scientifically optimized sequencing
✓Improve product quality consistency and reduce rework

Use Cases

•Multi-stage batch process optimization with reaction kinetics
•Formulation optimization for specialty chemicals and polymers
•Tank farm management and incompatibility handling
•Sequence-dependent cleaning optimization (CIP)
•Co-product and by-product disposition tied to primary campaign sequencing

Performance Materials

Master the physics of blending, melting, and curing. Optimize changeovers where standard ERPs miss directional flush, pot-life, and heel economics—in lubricants, polymers, adhesives, and coatings.

Performance materials plants break standard ERPs when flush and wash are directional (sequence matters), pot-life and cure tie kettles to filling lines, and slop, heels, and transition material are economic levers—not generic yield—that belong inside sequencing decisions. WonForge encodes viscosity, color, cure windows, and flush economics in optimization so margin trade-offs show up in the schedule.

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.

Key Benefits

✓Minimize "flush" solvent waste through optimized Light-to-Dark sequencing
✓Manage strict "pot-life" and curing time constraints to prevent reactor fouling
✓Optimize kettle and let-down tank utilization based on viscosity and mix times
✓Replace fragile Excel blending calculators with institutionalized logic
✓Maximize "heels" and slop oil utilization to recover lost margin

Use Cases

•Lubricant blending optimization (Base Oils, Additives, Viscosity Index)
•Paint campaign scheduling (Pigment/Resin sequencing)
•Adhesive and sealant manufacturing with cure-time constraints
•Slop oil re-blending and wash solvent recovery
•Intermediate bulk storage and drumming line synchronization

Food & Beverage

Balance strict shelf-life limits with sequence-dependent allergen washouts. Optimize mixing and packaging campaigns to protect margins and minimize expired inventory waste.

Food & beverage plants break standard ERPs when allergen washouts make changeovers sequence-dependent, shelf-life clocks tie production to packaging and distribution, and CIP cycles consume capacity line schedulers treat as free. WonForge models allergen and sanitation matrices, finite shelf-life propagation through downstream operations, and packaging-line synchronization so the schedule stays executable on the floor and out the door.

Implementation Approach

We start by codifying your allergen and sanitation matrices, shelf-life rules, and customer minimum-life-on-receipt clauses—the constraints that already live in food-safety SOPs and account spec sheets but rarely make it into your scheduling tool. Our team builds a custom model that respects those hard rules while optimizing for throughput, write-off avoidance, and packaging-line utilization. We integrate with your ERP, MES, and quality systems so every schedule is sanitation-valid, compliance-valid, and operationally executable.

Key Benefits

✓Minimize expired inventory write-offs through shelf-life-aware planning from make to customer delivery
✓Reduce allergen-washout time and downtime via optimized changeover sequencing
✓Synchronize packaging and filling lines with upstream mixing campaigns
✓Replace static sanitation calendars with dynamic CIP-aware planning
✓Improve customer minimum-life-on-receipt compliance and reduce DC rejections

Use Cases

•Allergen-aware sequencing for shared mixing and packaging lines
•CIP and sanitation cycle optimization (matrix and validation logic)
•Shelf-life-aware production and finished-goods planning
•Multi-line filling and packaging synchronization with upstream blending
•Co-pack and customer minimum-life-on-receipt scheduling

Inventory & Network Optimization

Right-size multi-echelon inventory with shelf life and temperature in the math—for food, beverage, and chemical networks alike. Balance plants, QA release, and DC placement against customer ship windows so buffers protect service without trapping spoilage risk.

Optimal buffering is not one number per SKU node. In perishable and temperature-controlled networks, inventory is a clock: every echelon burns remaining shelf life and adds handling risk. We optimize where to hold safety stock and cycle stock so service targets stay met while FEFO, cold-chain constraints, and minimum-life-on-receipt rules are respected. For process manufacturers, the same framework decouples plants, tank and batch WIP, and distribution lanes—not with generic buckets, but with lead-time variability, campaign cadence, and network cost trade-offs. Whether the constraint is a reactor, a pasteurizer hold, or a frozen DC slot, the model ties demand to executable replenishment and deployment.

Implementation Approach

We map your network topology, shelf-life and temperature policies (where relevant), cost of spoilage or markdown, and service rules. Models integrate demand, inventory, production capability, and transportation so S&OP and deployment targets reflect how your network actually behaves—from ingredient to retailer door.

Key Benefits

✓Right-size multi-echelon buffers under demand volatility, lead time risk, and remaining shelf life
✓Position stock across plants, co-packers, and DCs for cold chain and FEFO-aware service
✓Align production and release calendars with outbound routing and retailer cut-in dates
✓Eliminate double buffering and emergency transfers across echelons
✓Stress-test networks for ingredient shortages, lane disruption, or capacity loss

Use Cases

•Multi-echelon inventory optimization (MEIO) with expiry and temperature-aware service levels
•Chilled, frozen, and ambient finished-goods deployment in food & beverage
•Strategic safety stock across plants, 3PLs, and regional DCs
•Bulk liquid and intermediate storage for specialty chemicals and ingredients
•Scenario planning for recalls, port delays, or cold-storage capacity shocks

Campaign & Batch Planning

Maximize throughput in batch environments. We handle complex sequencing, capacity limits, and changeovers to deliver schedules that are efficient and executable.

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.

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.

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

Demand & Scenario Planning

Don't guess—simulate. Combine ML-driven forecasting with multi-scenario simulation to quantify the impact of tariffs, spikes, or shortages on your P&L.

Fuel your decision engine with the right demand signal and stress-test it against reality. We combine classical statistical methods with modern ML techniques to generate clean baseline forecasts. Beyond forecasting, we provide "Multi-Scenario Simulation" capabilities, allowing you to run concurrent "What-If" analyses. Instantly quantify the financial impact of raw material shortages, demand surges, or new tariffs so you can build a plan that is not just accurate, but resilient.

Implementation Approach

We start by ingesting your historical sales, shipment, and order data into our secure platform. We incorporate external regressors and perform automated data cleansing to refine the signal. Then, we configure the simulation engine to allow your team to create and compare multiple future scenarios—enabling you to make decisions based on financial probabilities, not just gut feel.

Key Benefits

✓Run concurrent "What-If" scenarios to test strategic decisions
✓Improve forecast accuracy by automatically selecting best-fit algorithms
✓Capture complex seasonality and cyclical patterns
✓Quantify the P&L impact of supply chain disruptions before they happen
✓Reduce safety stock buffers by narrowing the gap between forecast and actuals

Use Cases

•Simulating the impact of raw material shortages or price hikes
•Generating robust baseline forecasts for monthly S&OP cycles
•Short-term demand sensing to adjust production schedules dynamically
•Forecasting for New Product Introductions (NPI) with limited history
•Strategic capacity planning based on long-term trend projection

Solutions

Specialty Chemicals

Performance Materials

Food & Beverage

Inventory & Network Optimization

Campaign & Batch Planning

Demand & Scenario Planning

Specialty Chemicals

Implementation Approach

Key Benefits

Use Cases

Performance Materials

Implementation Approach

Key Benefits

Use Cases

Food & Beverage

Implementation Approach

Key Benefits

Use Cases

Inventory & Network Optimization

Implementation Approach

Key Benefits

Use Cases

Campaign & Batch Planning

Implementation Approach

Key Benefits

Use Cases

Demand & Scenario Planning

Implementation Approach

Key Benefits

Use Cases

Tell us about your hardest planning problem