Before01
Company profile
- Manual part alignment
- Long setup times
- Repetition injury risk
DX Solution
Robot Automation
Robotic process automation that transforms production
SYSTEM ARCHITECTURE
Solution architecture
From the RPA automation layer down to the equipment on the floor, four layers connected as one data flow.
RPA
RPA automation layer
Automation Layer
Orchestrator (RPA controller)
Scheduler
Workload management
Logging and audit trail
Dashboard
Bot/Execution Engine
Trigger receiver
Data Mapper/ETL
Action executor
Exception handling module
L3
Execution layer
Execution Layer
Data Management
- Real-time production DBEquipment uptime, output, per-stage process logs and more
- Quality management DBInspection results (pass/fail), defect types, measurement records
- Material/inventory master DBBarcode/QR history, current process stock status
Logic & Event Engine
- Production planningWork instructions and progress-state control
- Event managerCalls RPA automatically when a condition is met
Interface Layer
- API/Web ServiceEquipment uptime, output, per-stage process logs and more
- FTP/Shared FolderInspection results (pass/fail), defect types, measurement records
- Dashboard alertsBarcode/QR history, current process stock status
AI/ML engine
Unstructured data processing (OCR & NLP)
Anomaly detection and forecasting
Intelligent exception handling
Vision-based quality inspection
L2
Transport layer
Transport Layer
OPC-UA based integration interface
From the floor upward
- Data collection
- Data filtering
- Data standardisation
From above down to the floor
- Work instructions
- Protocol standardisation
- Recipe distribution
AAS MODEL
JSON
CSV
L1
Field
Field Layer
Equipment controllers
PLCProduction equipment
CNCMachine tools
IOT & SENSOR
Machine vision
SENSOR
RFID
Robots
Humanoid
Cobot
Industrial robot
AGV / AMR
ARCHITECTURE PROCESS
Implementation process
Four stages, from assessment and design through installation and validation to training and maintenance.
Assessment and system design
- Site assessment and feasibility study
- System design and robot ordering
Installation and integration
- Hardware and parts fabrication and supply
- Robot installation on site
- Legacy system integration
Validation and commissioning
- Commissioning and optimisation
- On-site performance validation
- Safety certification
Training and maintenance
- Operator training
- Maintenance framework setup
- Final reporting and follow-up support
EFFECT
Business impact
What the work handed to robots leaves behind — in output, quality, working environment and cost.
BUSINESS OUTCOME
Repetitive work,turned into measurable results
- UNIT
Higher output
Running 24/365 without interruption and handling tasks far faster than a person does, cutting processing time.
Uptime · output · tact time
- PASS
Better quality
Errors from manual and simple repetitive work are removed and variation is reduced, keeping quality consistent.
Defect rate · quality variation · rework rate
- SAFE
Improved working environment
Less stress and fatigue from repetitive work raises job satisfaction and widens the use of digital tools on the floor.
Hazardous-task share · fatigue · job satisfaction
- COST
Cost reduction
Labour costs are streamlined and operating costs cut directly, with people redeployed to higher-value work such as planning and response.
Labour cost · operating cost · redeployment
CASE STUDY
Case study
A part-alignment process handed to robots, with shop-floor data linked to the MES in real time.
Customer industry
Precision cutting tool manufacturing
After02
What was built
- Auto material release
- Robot loads pallets
- Live MES data link
Results
Robot automation that turned a manual alignment process into unattended operation
Redraw the line between what people do and what robots do.
We review your repetitive and hazardous tasks, then name the robot class and the payback period.
Talk to us