Advanced Planning & Scheduling
Replace spreadsheets and gut feelings with AI-optimized production schedules. IRIS APS balances demand, capacity, and constraints to deliver plans that actually work on the shop floor.
The IRIS APS module brings advanced production planning and scheduling to your manufacturing operations. It goes far beyond traditional MRP by incorporating finite capacity constraints, real-time shop floor data, and AI-driven optimization to create production schedules that are both optimal and feasible.
With support for what-if scenario analysis, constraint-based scheduling, and real-time rescheduling, planners can respond to disruptions in minutes instead of days. Every schedule is validated against actual resource availability, material constraints, and business rules before it reaches the shop floor.
The result: higher on-time delivery rates, better resource utilization, lower WIP inventory, and the agility to handle demand variability without sacrificing efficiency.
Capabilities
Scheduling That Thinks Ahead
From finite capacity planning to real-time rescheduling — every tool your planning team needs to deliver optimal production schedules.
Finite Capacity Planning
Create production plans that respect real capacity limits — machines, labor, tooling, and materials — not just infinite-capacity MRP outputs.
Constraint-Based Scheduling
Define complex constraints including setup times, sequencing rules, material availability, and shift patterns. The solver finds the optimal schedule.
What-If Scenario Analysis
Model multiple planning scenarios side by side. Compare lead times, costs, and resource utilization before committing to a plan.
Real-Time Rescheduling
When disruptions happen — machine breakdowns, rush orders, material delays — APS recalculates the optimal schedule in seconds, not hours.
Resource Optimization
Balance workloads across production lines and work centers. Maximize utilization while respecting capacity limits and maintenance windows.
Plan Versioning & Approval
Maintain full version history of every production plan. Built-in approval workflows ensure the right people sign off before execution.
Demand-Driven Planning
Start from demand forecasts and customer orders, then work backward through BOMs and routings to generate feasible production schedules.
Advanced Optimization Algorithms
Purpose-built solvers minimize changeover times, reduce WIP, and optimize for your specific KPIs — whether that's on-time delivery, cost, or throughput.
AI-Powered
Schedules That Learn and Adapt
IRIS AI doesn't just optimize once — it continuously learns from production outcomes to make every future schedule smarter.
- Learns from historical production data to improve schedule accuracy over time
- Predicts bottlenecks before they occur and suggests preemptive resource reallocation
- Automatically adjusts schedules when MES reports deviations from planned cycle times
- Recommends optimal batch sizes based on demand patterns, setup costs, and inventory targets
- Validates production scenarios against the Digital Twin before committing to the shop floor
Connected
Planning Meets Execution
APS closes the loop between planning and reality by integrating with every module that touches your production process.
Production completion events from MES feed back into APS for real-time schedule accuracy. Deviations trigger automatic rescheduling.
Material requirements from MRP inform APS scheduling constraints. APS ensures production is only scheduled when materials are available.
Validate production scenarios on the digital twin before execution. Simulate throughput, identify bottlenecks, and optimize without real-world risk.
Real-time machine status and performance data ensure APS schedules reflect actual shop floor conditions, not assumptions.
Plan smarter. Deliver on time.
See how IRIS APS can optimize your production scheduling.