Production Optimization Module
15 Decision Capabilities. One Composable Engine.
Every manufacturing problem reduces to a combination of planning, scheduling, and coordination decisions.
These modules activate independently or together — start with what hurts most, expand as your data and readiness grow.
Your demand forecast says 40,000 units next quarter but your lines can only run 32,000 at current shift patterns. Which products get priority? Should you add a third shift or subcontract? This module computes optimal production rates, workforce levels, and inventory targets across a 6–18 month horizon.
Capacity-constrained aggregate planning
Shift and overtime optimization
Capacity expansion investment analysis
Your BOM has 5 levels and 200 components. Setup costs push you toward large batches, but holding costs punish excess. This module determines optimal batch sizes across all BOM levels simultaneously — synchronizing component production with finished goods demand.
Multi-level lot sizing optimization
Setup cost vs. holding cost trade-off
Component synchronization across BOM
You have 47 jobs queued across 6 machines. Each changeover takes 15–90 minutes depending on the sequence. Three orders are due tomorrow. This module computes the exact job order, machine assignment, and start times that minimize changeovers while meeting due dates.
Sequence-dependent changeover optimization
Due-date and priority-based scheduling
Multi-line bottleneck resolution
Your best CNC operator is on leave. Three lines need certified personnel for the night shift. Overtime is already 22% above budget. This module jointly optimizes worker-shift assignments with skill requirements, labor law constraints, and production demand.
Skill-constrained shift assignment
Overtime and hiring/firing optimization
Labor law compliance across jurisdictions
Line 3 is due for preventive maintenance but it is your highest-utilization asset this week. Delay and risk a breakdown, or stop and miss deliveries? This module schedules maintenance windows inside the production plan — not as external disruptions.
Maintenance window optimization
MTBF-based predictive triggers
Unplanned downtime reduction
Your yield rate fluctuates between 91% and 97%. Rework jobs consume 8% of capacity. Inspection bottlenecks delay shipments. This module builds quality as a hard constraint — adjusting production quantities for yield, routing rework, and scheduling inspections before shipment.
Yield-aware production planning
Rework flow and inspection scheduling
FDA / HACCP / IATF compliance
Your cold storage holds 3 batches of the same ingredient with different expiry dates. Your ERP dispatches FIFO but the oldest batch expires in 4 days and the order needs 6. This module enforces FEFO logic, tracks material age, and minimizes waste from expired stock.
FEFO/FIFO dispatch optimization
Expiry-aware production sequencing
Material waste reduction
Your pharma line requires full cleaning validation between API families. Running product A after product B needs a 6-hour cleaning cycle, but A after C needs only 2. This module groups products into campaigns and sequences them to minimize total cleaning and contamination risk.
Product family grouping and sequencing
Allergen/API segregation enforcement
Cleaning validation scheduling
Your electricity bill peaks at $48/MWh during afternoon hours but drops to $22/MWh overnight. Cold restarts consume 3–5x more energy than running transitions. This module shifts production load to off-peak windows while avoiding costly restart penalties.
Tariff-aware production scheduling
Peak demand charge reduction
Demand response participation
Plant A is at 95% utilization. Plant B has 30% spare capacity but is 400 km away. Transferring production saves overtime but adds transport cost. This module optimizes cross-site allocation, transfer orders, and global capacity balancing across your network.
Cross-facility production allocation
Inter-plant transfer optimization
Transportation mode selection
Your sales team says demand will be "about the same as last year." But last year had a one-time contract that inflated Q3 by 20%. This module generates statistical and ML-based forecasts with prediction intervals — replacing guesswork with calibrated uncertainty.
SKU-level statistical + ML forecasting
Prediction intervals for safety stock
Seasonal and intermittent demand handling
You carry $18M in inventory. Stockouts still hit your top 50 SKUs every month while slow movers sit for 90+ days. This module replaces rule-of-thumb safety stock with statistically justified policies driven by actual demand variability and service level targets.
Service-level-driven safety stock optimization
Multi-echelon inventory balancing
ABC-XYZ segmentation and policy
Your primary supplier has a 4-week lead time and a 500-unit MOQ. Your backup supplier delivers in 2 weeks but costs 15% more. This module optimizes multi-supplier sourcing — balancing cost, lead time risk, volume discounts, and material availability commitments.
Multi-supplier volume allocation
Volume discount tier optimization
Lead time risk buffering
Machine 4 just failed. A quality hold pulled 200 units from the line. A VIP order arrived with a 48-hour deadline. Your plan is already stale. This module triggers rapid partial re-optimization in under 30 seconds — adjusting only the affected scope without restarting from scratch.
Machine failure rapid re-planning
Demand spike absorption
MES-integrated event response
Your CFO wants the lowest-cost plan. Your sustainability officer needs carbon emissions under budget. Both are right. This module computes Pareto-optimal plans across cost and carbon — showing exactly what each ton of CO2 reduction costs and where the trade-off breaks.
Cost vs. carbon Pareto frontier
Scope 1/2/3 emission tracking
ESG reporting (GRI, TCFD, CSRD)