Turn your factory into an
adaptive production power house
FactoryOS delivers a completely new approach to manufacturing.
Because it tightly connects manufacturing hardware and software, it streamlines previously manual trial-and-error and highly specialized routine tasks, reducing the need for extended operator training or machine testing time.
Our approach
FactoryOS
Integrated on a single platform, FactoryOS breaks down the silos between manufacturing processes, allowing them to inform each other. Production becomes agile and adaptive. AI algorithms uncover efficiency patterns from real factory data and apply them to process planning and real-time optimization.
The factory operating system offers a critical capability set…
- A holistic solution for managing, programming, and monitoring your complete facility
- An integrated AI engine to quickly manage change in complex systems
- Manufacturing expertise generated from production data, enabling informed decision-making
That supports smart manufacturing objectives
- High mix, short runs, or batch-size-of-one processing
- Multipurpose facilities that quickly adapt to new demand
- Increased productivity and flexibility
AI-Driven Factory
Insight, Automate and Control
Analyzes data from across the factory to inspect, warn, predict and control any aspect of the production process, allowing it to intelligently optimize and re-engineer the production workflow.
Adaptive Targeting
Evaluates complex tradeoffs to identify the optimal match between order requirements and machine or facility capability. Leverages real-time input to dynamically replan when faced with changes or new priorities.
Human-AI Partnership
Rapid analysis of large quantities of data provides new recommendations to human decision-makers. Mundane and routine tasks are handled autonomously, freeing people up for tasks that require human creativity and intuition.
Continuous Learning
Constantly analyzes and learns from real production data, enabling continuous process improvement and the creation of entirely new—and previously impossible—methods of operation.
Order Management
ERP Integration
Easy integration with common ERP systems, enabling the platform to consume product and order requirements without rework or duplicate entry.
Common CAD Import
CAD data from all major file formats and all main mesh formats can be ingested, and versioning history is maintained for traceability.
Costing Improvements
Closed-loop data coming back from the production process continuously improves costing model accuracy.
Order Tracking and Reporting
Centralizes all part design and manufacturing data for ease of tracking, reporting, reordering and recall.
Automated Quoting Tools
Powerful recommendation engine enables non-expert users to own the quoting process and drive informed price/quality tradeoff decisions.
Part-level Digital Thread
Individual tracking of each part in an order creates a data-rich digital thread for every single product produced.
Fabrication
Design Enhancement Reports
Automatically generated design enhancement reports provide suggestions for reducing cost and improving quality based on actual historical production data.
Automated Analysis and Repair
Powerful automatic analysis and repair functionality for both solids and meshes streamlines the fabrication process by reducing time-consuming manual review.
Real-Time Process Simulation
Real-time simulation of the current state of production provides the opportunity to make in situ adjustments or even replan for optimal output.
Process Preparation
Optimal process configurations based on design and machine parameters are suggested, and machine instructions are automatically generated for the selection.
Multi-Machine and Process Linking
Fabrication processes can be optimized across different machines and methods to speed production and maximize machine utilization.
Generative Design Improvement
Built-in generative design tools suggest geometry adjustments that reduce manufacturing cost and/or improve part performance.
Automatic Feasibility Assessments
Feasibility assessments are performed on every design file, so issues are flagged before a part even begins fabrication.
Post Processing
Automated Workflows
Instructions for post processing workflows are generated automatically from the digital model, reducing planning and programming time.
Single- and Multi-Step
Data is captured and analyzed in each step of post processing, enabling optimized control of subsequent manual and automated processes as well as continuous improvement over time through machine learning.
GD&T Aware
Design intent, such as surface finish and accuracy, are extracted from GD&T data and referenced in all subsequent post processing operations.
Design for Post Processing
Design additions to accommodate post processing needs, such as grippers and tooling, are automatically recommended and generated early in the process.
Assembly
Rapid Robot Commissioning
Optimal automation paths are planned and simulated on the digital twin maintained by FactoryOS, reducing installation and commissioning time.
Efficient Human Workstations
AI-supported planning of how parts arrive, flow through and exit workstations adapts to changing factory conditions and optimizes for human motion economy.
Digital Instructions
Assembly instructions are automatically generated from the digital file, updated if the design changes, and pushed to the assigned workstation.
Inspection
Real-Time Process
Alerts are immediately generated when real-time quality data indicates out-of-spec tolerances so production issues can be addressed quickly.
Active Part Inspection
AI-based inspection has the speed and capacity to review every part on the line, capturing subtle defects that humans or statistical sampling might miss.
History Capture
A full history of each individually tested item creates a digital thread that enables traceability and manufacturing debugging.
Low-Cost Stations
Advanced algorithms built into FactoryOS allow the creation of cost-effective state-of-the-art inspection workstations.
Logistics
Optimal Multi-Step Flow Planning
Movement of parts through multiple stages of production is optimized for time and resource efficiency, and adaptively replanned as needed.
Pull-Based Logistics
Demand and delivery times are predicted based on history and current factory status. Inventory is optimally ordered and routed from the warehouse to the line.
Packing, Shipping and Tracking
Instructions for packing and shipping are centrally managed along with production data, adapting or alerting to changed timelines to support customer requirements and communications.
AGV Planning and Control
AGV path planning and vehicle control are automatically generated in real time from the operating system, facilitating rapid development and change.
Industrial IOT
Multi-Source Collection
Allows real-time data to be collected from sensors located anywhere in the factory, on any machine, and in any manufacturing process, including manual processes and devices.
Data Aggregation
Structures and maintains large amounts of factory data from various sources to enable part tracking, factory performance reporting and AI-driven analysis and insights.
Real-Time Dashboards
Provides real-time status of production, utilization, performance and asset maintenance information, ensuring transparency for all stakeholders.
Digital Twin
Continuous Synching
Constant data flow keeps digital twin models continuously in synch with the physical counterpart, ensuring real-time availability and accuracy.
Adaptive Simulation
Both historic and immediate factory data are leveraged to determine the most optimal plan under dynamic conditions and in real time.
Virtual Commissioning
Scenarios are tested to identify and resolve issues digitally and to optimize and verify solutions before implementing them, greatly reducing engineering overhead and downtime.
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