Automatically generate
executable production schedules – SimAPS
In a virtual factory powered by Siemens Plant Simulation, SimAPS creates constraint‑aware, due‑date‑driven schedules and validates them via simulation for high plan reliability.
SimAPS at a Glance
Automatic scheduling with capacity/setup/inventory/due‑date constraints
Simulation validation to forecast utilization, WIP and inventory trends
Visualization – Gantt, resource load, inventory charts
Interactive planning – manual edits, partial recalculation, scenario compare
What is SimAPS?
A simulation‑based APS platform combining discrete‑event simulation and AI optimization to automatically generate executable production plans.
Designed for Planners
Gantt editing, locks & priorities, and partial rescheduling reflect real‑world operating practices.
Fast Adoption
Modular packaging makes it practical for SMEs to roll out step by step.
Key Features
Automatic Schedule Generation
Integrates ERP/MES data and respects capacity, setup, inventory and due‑date constraints.
Simulation Validation
Runs the schedule in a virtual factory to forecast utilization, WIP and inventory.
Visualization & Editing
Gantt, resource‑load and inventory charts, manual tweaks, partial recalculation, scenario comparison.
AI + Heuristic Optimization
Targets due‑date adherence, lower WIP & inventory, and higher equipment efficiency.
What‑if Experiments
Assess policy changes: shift patterns, new machines, setup rules and more.
APIs & Integration
REST APIs enable two‑way integration with ERP/MES/PLM and other systems.
Benefits
Higher Due‑Date Performance
Executable plans reduce schedule breaks and improve delivery reliability.
Better Utilization
Identify bottlenecks and optimize setup policies to boost throughput.
Lower WIP & Inventory
Optimize flow to reduce working capital and stockouts/overstocks.
Standardized, Automated Planning
Minimize manual errors and institutionalize data‑driven decision making.
Technical Architecture
Data Layer
ERP/MES/PLM integration, master & transactional data ingestion and consistency management.
Data PipelineSimulation Engine
Process/resource models in Siemens Plant Simulation to validate execution feasibility.
Virtual FactoryOptimization Engine
Reinforcement learning plus heuristics/mathematical methods to optimize KPIs (due‑date/WIP/inventory/utilization).
AI SchedulingApplication Layer
Gantt/load/inventory views, interactive editing, scenario management, REST APIs.
UI · APIWho It's For
High‑Mix, Low‑Volume
Frequent priority changes, constrained resources, and heavy setup overheads.
Complex Process Constraints
Precedence, parallelism, and bottleneck‑rich manufacturing environments.
DX / Smart Factory Transition
Organizations moving from spreadsheet planning to automated, data‑driven workflows.
Why SimAPS
Simulation‑based APS – validate algorithmic schedules for real‑world executability.
Field‑proven – validated across multiple industries (construction materials, auto parts, batteries, logistics, etc.).
Extensible – modular architecture to adapt to company‑specific needs.
Easy to adopt – phased rollout with training and migration support.
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Contact Us
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