Atelier OS Integration

How the 5 factory automation scenarios integrate seamlessly with the existing Atelier platform, from order intake through production management to delivery and client communication.

End-to-End Production Workflow

1

Order Intake

Client submits project via Atelier platform. AI analyzes drawings, creates takeoffs, and routes to appropriate factory based on capability and capacity.

2

Smart Routing

System evaluates project complexity, timeline, and factory automation levels. Custom pieces → Manual/Smart Manual. Standard items → Advanced/Lights-Out.

3

Production Planning

Automated scheduling based on factory type. AI optimizes material usage, machine time, and workforce allocation. Real-time capacity monitoring.

4

Manufacturing Execution

Factory automation level determines process: manual craftsmanship, cobot assistance, or fully robotic production. Live progress tracking.

5

Quality Control

Automated inspection systems (vision, measurement) feed back to Atelier OS. Quality data informs client updates and continuous improvement.

6

Client Communication

Automated progress updates, photos, and delivery coordination. Client firewall maintained - no factory details exposed.

System Architecture

Client Portal
Projects • Approvals • Updates
Atelier OS
Project Management • Factory Routing • Client Firewall
Factory Management Systems
Production Planning • MES • Quality Control • Robotics Control
Manufacturing Hardware
CNC • Robots • Assembly • Finishing • QC Systems • Packaging

Production API

POST
/api/factory/production/start

Initiates production run with project specifications

Status Monitoring

GET
/api/factory/status/{projectId}

Real-time production progress and machine status

Quality Data

POST
/api/factory/quality/report

Quality metrics, inspection results, and photos

Capacity Planning

GET
/api/factory/capacity/forecast

Available capacity and optimal scheduling

Machine Learning

PUT
/api/factory/ml/optimize

Continuous improvement based on production data

Client Updates

POST
/api/client/progress/update

Automated client communication with progress photos

Data Flow & Analytics

Real-time data flows from factory floor to client dashboard with full traceability

📊

Production Metrics

Machine utilization, cycle times, throughput rates, efficiency scores

🔍

Quality Data

Inspection results, defect rates, dimensional accuracy, finish quality

📱

Client Updates

Progress photos, milestone completions, delivery schedules, approvals

🤖

Machine Learning

Process optimization, predictive maintenance, quality prediction, scheduling

💰

Cost Tracking

Material usage, labor costs, machine time, overhead allocation

📈

Business Intelligence

Factory performance, client satisfaction, process improvements, ROI analysis

Implementation Roadmap

Phased approach to integrate factory automation with existing Atelier OS

1

API Integration Layer

4-6 weeks

Build secure communication between Atelier OS and factory systems. Implement authentication, data validation, and real-time messaging.

  • Factory API endpoints
  • Authentication & security
  • Real-time WebSocket connections
  • Data synchronization protocols
2

Production Management System

6-8 weeks

Integrate MES (Manufacturing Execution System) with Atelier's project management. Enable automated scheduling, capacity planning, and progress tracking.

  • MES integration modules
  • Automated scheduling engine
  • Capacity planning algorithms
  • Progress tracking dashboard
3

Quality Control Integration

4-6 weeks

Connect automated quality systems to Atelier OS. Enable real-time quality monitoring, defect tracking, and continuous improvement analytics.

  • Quality data collection
  • Inspection result processing
  • Defect tracking & analysis
  • Quality reporting dashboard
4

AI & Machine Learning Platform

8-12 weeks

Implement AI-driven optimization, predictive maintenance, and intelligent routing. Enable continuous learning and process improvement.

  • ML pipeline infrastructure
  • Predictive maintenance models
  • Process optimization algorithms
  • Intelligent project routing
5

Advanced Analytics & BI

6-8 weeks

Build comprehensive analytics platform for factory performance, client satisfaction, and business intelligence across the micro factory network.

  • Advanced analytics dashboard
  • Factory performance metrics
  • Client satisfaction tracking
  • Network optimization tools