LOFA
Light-Off Factory Assistant
GloryIGI
Pan-Semiconductor Intelligence Large Model
BI/Report
Intelligence Data Analysis System
LOFA ( Light Off Factory Assistant)
Making Production More Efficient
LOFA, as the unified entrance of the fully automated factory control and logistics room, integrates factory management requirements display, control, knowledge management, skill components, automatic process operation, Al recognition and analysis, and is committed to building the intelligent central control AI brain of the factory.
SavingCentralized Control
80% Labor Savings
1. Centralized management of machine data improves management efficiency, one person can manage multiple machines, reduces labor costs, optimizes the man-machine ratio, and improves labor productivity;
2. Equipment automation on the line, LOFA with the control of detection and repair and other automation equipment, fully automated production, a large number of reduced on-site personnel, can save 60% -80% manpower.
PrecisingImitate Industry Experts
Fulfill Professional Judgment
1. Replace the original manual judgment, location confirmation, repair work, reduce the rate of misjudgment and leakage rate, significantly reduce the intensity of manual work, to avoid the risk of manual misoperation; misdiagnosis and leakage of the proportion of reduced to less than 1%, the repair accuracy rate of more than 85%.
2. Machine learning to improve the accuracy of ADC automatic judgment of the map, the accuracy rate of 99% or more. (Manual identification is usually about 80% accurate).
StabilizingData Security and Reliable Operation
Guaranteeing Productivity
1.Hardware connection to the machine, non-destructive way to collect the machine screen and control information, without interfering with the machine's own workflow, without the risk of data leakage.
2.LOFA products 7 * 24 continuous stable and efficient operation, including a complete alarm mechanism.
LOFA Functional Components
LOFA Bots Smart Scripts
PCC/RCM
Remote Control Management System
Bots
Robotic Process Automation
AI
Automatic Defect Classification System
Manufacturing control center: a comprehensive system integrating remote operation, equipment remote control and video monitoring. Realize information integration, automatic dispatch, alarm reminder, impact playback, report analysis and other functions to enhance the efficiency of factory operation and create value for customers.
UI Pictures
Real-time location of overall equipment layout and logistics
Display of equipment status and production information for each facility
The overall scene can be freely moved, rotated, zoomed in and out, and the equipment can be clicked to query the current status of the equipment and production information.
Display of Planned
Achievement
Summary Display of
In-plant Defects
Display of
Consolidated Data
Display of Device
Status Monitoring
Real-time Display of
Production Capacity
Real-time Display of
Management Center
PCC/RCM Remote Control Center
Operating TerminalEach terminal is configured with 1 host and 2 monitors; it can be distributed in Room, Office, FAB, and centrally monitor multiple equipments; real-time refreshment of equipment production status information; Alarm, the system box becomes red alarm, and clicking on the alarmed equipment can quickly zoom in and enter the operation screen.
Main Screen of Equipment Monitoring
Terminal Operation Screen
The Value of A PCC/RCM Centralized Control Center
Introducing the case for calculating the benefits of slicing
LOFA PCC system on-line, reduce personnel walking, operator fatigue is reduced, according to the existing staffing 8 operators per shift, a total of two shifts of 16 people, a class of two people on the operating side, the equipment side of the release of material and change material 3 people can save 6-7 people, in addition to the equipment side of the loading and unloading of all exceptions basically in the RCM client to solve the problem.
One person can watch multiple devices, speeding up exception handling, reducing standby/downtime and equipment efficiency.
Return on investment: according to the operating personnel per capita 5000/month salary calculation, a year can save the expenditure of 5000*6*12=360,000, a Wafer in accordance with the 60min production time calculation, every six minutes need to operate to lift the pause, the staff need to move around 10s, the operation.
Needs 10s or so, each piece of 10s*10=100s, a day can save 100s*24=2400s, can produce more in January.(2400s*30)/(60*60) = 20 tablets/unit.
Realize remote operation of the office, combined with automatic replacement of manual operation by machines (proxy operation), effectively reducing frequent personnel entry into FAB, and personnel only need to handle important alarms and machine failures.
Through automatic image recognition by the system, formulas are automatically selected, and relevant data with restricted backend access is synchronously recorded for precise monitoring, changing the previous manual copying process by production personnel and saving 30% of the manpower of such machine operators.
Addressing the pain point of outdated machines without custom functions, assisting in machine renovation and upgrading, significantly reducing the cost of machine replacement. Through LOFA renovation, the cost of upgrading imported machines from the original factory is reduced, with each foreign equipment factory costing approximately $30000 for renovation.
Semiconductor
Display
PCB
Solar
RPA can provide customers with advanced, more convenient, and intelligent business automation solutions. Using RPA to replace manual operations in MA can further liberate manpower and improve efficiency in Fab, while also avoiding risks such as misoperation and inspection omissions caused by MA manual operations. In some scenarios, using RPA instead of MA operation can improve execution efficiency by about 50%.
Edit the business scripting process to solidify the manual steps into the computer in the form of a script.
Optical character recognition, recognizes the contents of various types of text, symbols, and numbers on the machine.
Computer vision processing to analyze, compute, and process pictures of the real-time screen of the machine.
Analyzing the script processing allows for record backtracking of the RPA proxy manipulation process.
Observe the operational status and parameters of the RPA deployment machine in real time.
SemiconductorDisplayPCBSolar
Equipment Software
ADC system, the full name of the automatic defect classification system (Auto Defect Classification), refers to the product image can be based on the automatic defect location, defect classification of the visual inspection system.ADC system's core technology image neural network technology, the image classification and identification.
Image processing core, including target recognition, OCR, virtual measurement, assisted positioning, image optimization and other functions in addition to deep learning image recognition. Existing algorithm components in the form of tool libraries for rapid deployment and debugging, to respond to the actual needs of users.
The model outputs a confidence level for the prediction of each defect, setting a confidence threshold T (e.g., 0.8)
Predictions greater than the threshold are considered credible ADC results, the rest are temporarily handled manuallyt
The proportion of results that are credible is "coverage", which can be used to indicate the degree of labor savings
Manual adjudication results in supplemental training and gradual increase in coverage
SemiconductorDisplayPCBSolarEquipment Software
SemiconductorDisplayPCBSolarEquipment Software
Product White Papers
GlorylGI - Pan-Semiconductor Intelligence Grand Modeling
Video Demonstration
GlorylGI - Pan-Semiconductor Intelligence Grand Modeling
Bl/Report provides intelligent data analysis and visualization capabilities to meet the needs of users for data preparation, data analysis and data visualization. No need for tedious code writing, simple drag and drop can easily realize the rapid analysis of business data.
Report Management
Reporting Requirements Management and Reporting Metrics Group.
Data Source Configuration
Build private data source information.
Analyzing Dashboard
Visual dashboards with different dimensions to analyze data.
Indicator Management
Indicator operational definitions and harmonized indicator portals.
Data Modeling
Build analytical models based on business requirements.
Data Disclosure
Data disclosure customization of each analytics data portal to push analytics information at regular intervals.
Bl/Report Design Dashboards and Output Analytics
Report Management
Indicator Management
New Instrument Cluster
Dashboard Design, Selection of Chart Components and Data Models
Output Analysis Results
Representative Customers
Device Status Interval Report
Device Alarm Report
Equipment OEE Report
MTBA Statements
BI Report Presentation - Kanban
SemiconductorDisplayPCBSolar
