Smart Factory
AI Logistics
Solutions
Smart Factory
AI Logistics Solutions
Manufacturing Logistics AI Based on Field and Equipment Data
Support for Smart Factory Construction up to 400 million won!
Manufacturing Logistics AI Based on
Field and Equipment Data
Support for Smart Factory
Construction up to 400 million won!
Manufacturing Logistics
AI Based on Field and
Equipment Data
Support for Smart Factory
Construction up to
400 million won!
1. Logistics process
optimization
Performance analysis based on MCS
Minimization of bottlenecks and delays,
and optimization of line balancing
2. Equipment and
Logistics Control based
on SyncAI
SMAR, SMART RACK,
Integrated control for loaders/unloaders
Minimizing operator intervention
SMAR, SMART RACK,
Integrated control for loaders/unloaders minimizes worker intervention
3. Equipment AI and
Data Integration
RFID, robot operation data based
MCS → AI analysis, production planning
and quality control ·Integrated control
up to logistics flow
RFID, Robot operation data based
MCS → AI analysis, integrated control of production planning, quality management, and logistics flow
Smart Factory Proposal for SMD Production Line
with Manufacturing Logistics AI
Smart Factory Proposal for
SMD Production Line with
Manufacturing Logistics AI
01
AI cognitive
function
02
Predictive maintenance
Predictive maintenance
03
Work environment safety management
04
Product Production Management
05
Data-driven
AI scenario
Inventory Rate
(Real-time management of production activities)
Equipment Monitoring
(Fault Detection and Alarm System)
Logistics Optimization
(Move out of stock and double emission)
Real-time data
Collection and Analysis
AI-Driven solution for
SMD line inefficiencies
(i.e. data loss, manual transfer, unclear
maintenance cycle, etc.)
Optimal for Manufacturing
and Logistics
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Integrated Control System
Key Outcome
Improved productivity
Consistent quality
Cost reduction
Lasting customer trust
Improving productivity
Ensuring quality stability
Cost reduction
Ensuring customer trust
Inventory Rate
(Real-time management of production activities)
Equipment Monitoring
(Fault Detection and Alarm System)
Logistics Optimization
(Magazine Transfer and Two-Emission)
Real-time data
Collection and Analysis
AI-Driven solution for
SMD line inefficiencies
(i.e. data loss, manual transfer, unclear
maintenance cycle, etc.)
Optimal for Manufacturing
and Logistics
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Integrated Control System
Key Outcome
Improved productivity
Consistent quality
Cost reduction
Lasting customer trust
Improving productivity
Ensuring quality stability
Cost reduction
Ensuring customer trust
Stock Rate
(Real-time Management of Production Activities)
Equipment Monitoring
(Fault detection and alarm system)
Logistics Optimization
(Magazine Movement and Two Emissions)
Real-time data
Collection and Analysis
AI-Driven solution for
SMD line inefficiencies
(i.e. data loss, manual transfer, unclear
maintenance cycle, etc.)
Optimal for Manufacturing
and Logistics
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Manages in-line material flow and equipment
Monitors magazine flow in real time as planned
Manages process history and material flow
AI-driven operation independent of MES
Integrated Control System
Key Outcome
Improving productivity
Ensuring quality stability
Cost reduction
Ensuring customer trust
Implementation of magazine logistics automation using
MCS-based AMR-Smart Rack
Implementation of Magazine
Logistics Automation
Using MCS-Based
AMR-Smart Rack
The appearance after establishing a smart factory
The appearance after
establishing a smart factory
MES
MES
Supply chain
(raw material suppliers)
Supply Chain
(Raw Material Supplier)
Start of raw material reception and supply of materials
Start of raw material reception and supply of materials
MCS
MCS
Production plan /
Work instruction
Production plan /
Work instruction
Real-time control of MES linked data and
Mission creation for monitoring / Traffic control, etc.
Real-time control of MES linked data and
Mission creation for monitoring / Traffic control, etc.
Smart factory
Smart factory
•AMR
•Loader/Unloader
•AMR •Loader/Unloader
•SmartRack
•RFID System
•SmartRack•RFID System
Magazine Automatic Transfer and
Loading Data Recognition and
Collection through Tags
Automatic magazine
transfer and loading.
Data recognition and
collection through tags.
client company
client company
(S Electronics,
D Electronics, etc.)
(S Electronics,
D Electronics, etc.)
Finished product shipment / delivery
Finished product
shipment / delivery
Supply Chain (Raw Material Suppliers) ➝ MES ➝ MCS ➝
Smart Factory (AMR/Smart Rack/Loader/Unloader/RFID
Data Recognition System) ➝ Client
Supply Chain (Raw Material Suppliers)
➝ MES ➝ MCS ➝ Smart Factory
(AMR/Smart Rack/Loader/Unloader/
RFID Data Recognition System)
➝ Client
Case Study: SMD Production Line Application
Case Study:
SMD Production Line Application
01. Place
01. Place
Load the magazine
from the facility
onto the stocker
The worker loads the magazine discharged from the equipment into the candy buffer
02. Call AMR
02. Call AMR
Once detected,
the AMR is
automatically called
via the MCS(NEPLER)
Kanban buffer will recognize when materials
are loaded and automatically call AMR through MCS (NEPLER)
03. Load
03. Load
PIO sensors trigger
automatic
material transfer
from the stocker
to the AMR
Through PIO sensor detection
Automatically loading materials loaded in the can buffer with AMR
04. Move
The MCS directs
the AMR to
the next destination
along its route
05. Unload
PIO sensors
trigger automatic
material transfer
from the AMR
to the stocker
06. Return
After transfer,
the AMR returns
to the charging
station if idle
01. Loading
The magazine discharged from the equipment
The worker loads it onto the cylinder buffer
02. AMR call
When materials are loaded onto the
Gani Buffer, they are recognized and MCS
(NEPLER) automatically calls AMR
03. Loading
Automatic loading of materials
stored in the intermediate buffer
through PIO sensor detection
Intermediate Buffer AMR
04. Move
MCS(NEPLER) issues
a command to move to the next destination via the previously set route in AMR
05. Unloading
Automatic unloading AMR via
materials loaded onto AMR
using a conveyor buffer
06. Return
MCS(NEPLER) issues
a command to move to the next destination via the previously set route in AMR
01. Loading
The magazine discharged from the equipment
The worker loads it onto the cylinder buffer
02. AMR call
When materials are loaded onto the
Gani Buffer, they are recognized and MCS
(NEPLER) automatically calls AMR
03. Loading
Automatic loading of materials
stored in the intermediate buffer
through PIO sensor detection
Intermediate Buffer AMR
04. Move
MCS(NEPLER) will
issue a move command to
AMR to the next destination
through the previously set path.
05. Unloading
Automatic unloading of materials
loaded on the AMR
through PIO sensor detection
AMR Conveyor Buffer
06. Return
MCS(NEPLER) will
issue a move command to
AMR to the next destination
through the previously set path.
AMR
AMR
9
When the product is shipped as the main manufacturer,
check the product information at a static location or dynamic (mobile phone)
When the product is shipped for
main manufacturing,
check product information in
a static location or dynamic (mobile phone)
MES
MES
AMR
AMR
AMR
AMR
LOADER
LOADER
UNLOADER
UNLOADER
1
RADIAL Completed
PBA Magazine Loading Location
RADIAL completed
PBA magazine loading area
RADIAL Complete
PBA Magazine
Loading Location
SMD Completed
Magazine Loading Location
SMD Complete
Magazine Loading Location
2
3
4
5
6
8
7
Production information management such as W/O, SCODE, MODEL, production line, production date, etc.
Production information management such as
W/O, SCODE, MODEL, production line, production date, etc.
W/O, SCODE, MODEL,
Production LINE, Production Date,
and other production information management
Manual upload of work instruction
Manual upload of work instruction
Register the magazine QR code and
production information in the AMR System
upon completion of production in the unloader.
Register the magazine QR code and
match the production information in
the AMR System upon completion of production in the unloader
Upon completion of
production in the Unloader,
match the magazine QR code with
the production information and
register it in the AMR System
Later, when scanning the magazine QR code,
you can check production information from the AMR System.
When scanning the magazine QR code later
you can check the production information from the AMR System
When scanning the magazine QR code later
production information can be confirmed
on the AMR System
MCS
MCS
AMR System
Why Choose Polaris3D's SMAR?
Why should you choose Polaris 3D SMAR?
Why should you choose
Polaris3D SMAR?
[Seamless Manufacturing Automation Robot]
[Seamless Manufacturing
Automation Robot]
Narrow
corridor driving.
minimum driving width
The existing equipment and movement and changes are
small AMR that do not require
System integration
Integration with MES/ACS provides existing equipment
and robot control, integrated control system
+
MOMA
Supports various service modules such as robotic arms (amr) based on integrated drive units
Proposal for an automation solution
Proposal for automation solutions with support for existing facilities such as elevators, automatic doors,
and loader/unloader integration
Up to 400 million won! Learn more about the smart factory support project.
Up to 400 million won!
Learn more about the smart factory support project.
Up to 400 million won!
Learn about the Smart Factory
Support Project
Manufacturing AI support business process
Manufacturing AI
support business process
1. Smart Factory
Level Confirmation
1. Smart Factory Level Check
1. Smart Factory Level Check
2. Field Data
Collection and
Analysis
2. On-site data collection and analysis
2. On-site data collection and analysis
3. Application for
each process
Manufacturing AI
Suitability
Confirmation
3. Verification of the ppropriateness
of manufacturing AI to be applied by stage
3. Verification of the appropriateness of manufacturing AI to be applied by stage
4. Smart Factory
Application for
Support for
Establishment
4. Application for Smart Factory Establishment Support Project
4. Application for Smart Factory Establishment Support Project
5. Business Plan
Evaluation
(Smart Promotion
Innovation Party)
5. Business PlanEvaluation(Smart PromotionInnovation Party)
5. Business Plan Evaluation (Smart Promotion Innovation Party)
6. Agreement and
Establishment
Project Start
6. Start of the agreement and construction project
6. Start of the agreement and construction project
Step
Step 1 Perception
(Perception)Step 2 Prediction
(Prediction)Step 3 Judgment
(Decision-making)Step 4 Control
(Control/Action)5 Steps Autonomy
(Autonomy)function
To detect and identify
production·process statusThrough data analysis,
abnormal signs of future state predictionBased on the prediction results
Optimal decision makingAI Decision Making
Executed with On-Site ControlSelf-sufficient without human intervention
Learning·Optimization·OperationManufacturing case
Camera-based Defective Product Detection (AOI)
Monitoring Equipment Temperature · and Vibration with IoT Sensors
Predictive Maintenance
Raw Materials · Product Demand Forecasting
Automatic production planning
Adjusting process conditions in case of quality issues
Smart Packaging System
Energy Optimization Control
Free Logistics System
Real-time Autonomous Quality Correction System
Check manufacturing AI level
Developing in the order of recognition > prediction > judgment > control > autonomy,
the ultimate stage is achieving 'autonomous AI' that can set and execute goals on its own without human intervention.
Recognition > Prediction > Judgment > Control > Evolving in the order of autonomy,
The ultimate stage is to set and execute goals on its own without human intervention, aiming for 'Autonomous AI'
Step
Step 1 Perception
(Perception)
Step 1 Perception
(Perception)
Step 2 Prediction
(Prediction)
Step 2 Prediction
(Prediction)
Step 3 Judgment
(Decision-making)
Step 3 Judgment
(Decision-making)
Step 4 Control
(Control/Action)
Step 4 Control
(Control/Action)
5 단계 Autonomy
(Autonomy)
5 단계 Autonomy
(Autonomy)
function
Production environment and process status
detection·detection
Production environment and process status
detection·detection
Through data analysis, abnormal indications
future state prediction
Based on the prediction results
perform optimal decision making
AI decision-making
Executed through on-site control
Self
Learning·Optimization·Operation
Manufacturing case
Camera-based Defective Product Detection (AOI)
Monitoring Equipment Temperature · and Vibration with IoT Sensors
Predictive Maintenance
Raw Materials · Product Demand Forecasting
Automatic production planning
Adjusting process conditions in case of quality issues
Automatic production planning
Adjusting process conditions in case of quality issues
Smart Packaging System
Energy Optimization Control
Smart Packaging System
Energy Optimization Control
Free Logistics System
Real-time Autonomous Quality Correction System