Service Overview
SDF (Software-Defined Factory) is a next-generation smart factory platform that integrates and controls all elements of a manufacturing plant through AI-driven software.
Traditional hardware-centric factories face limitations when it comes to changing processes or production lines.
In contrast, SDF maximizes flexibility and scalability by agiley managing 4M+2E — Man, Method, Material, Machine + Energy, Environment. It enables dynamic modification of routing, production methods, process sequences, and recipes.
By achieving both vertical and horizontal integration of OT (Operational Technology) and IT, SDF drives digital transformation across the entire value chain.
SDF redefines the essence of manufacturing competitiveness and leads the smartization of the entire industrial ecosystem.
Integrated SDF Platform
We provide a total solution covering the entire manufacturing process — from data collection and production execution to on-site management and analytics.
Manufacturing Business Solutions
Standard MES
Intelligent Factory Management
Quality Completion System
Part Lot Traceability Management
Integrated Logistics System
3D Integrated Control
FEMS (Factory Energy Management System)
APS (Advanced Planning and Scheduling)
Smart Process Management
Work Scheduling Optimization
Electronic Work Instructions
Work Progress Management
WMS (Warehouse Management System)
Robot Integrated Monitoring
Smart Vision
Smart SCM (Supply Chain Management)
Smart Tutoring
Smart Worktainment
Manufacturing Intelligence Solutions
Virtual Factory Builder
SD Brain (Al Agent)
SF Digital Twin
Integrated PHM (Prognostic Health Management)
CoreNect Simulator
XCS (Integrated Control System)
Core Nest Cloud / Edge
Digital (3D) Asset Management
Virtual Verification System
Data Pipeline
Interface Solutions
IoT Platform
Information Media Solutions
Smart Tags
CMS (Content Management System)
Infrastructure Solutions
N/W
Security
ㆍㆍㆍ
Cloud
Diagnostics and Operations Solutions
Capability Assessment
Consulting / Process Improvement (PI)
Operational Services
SHOP FLOOR
Factory
4M + 2E
Man
Machine
Material
Method
Energy
Environment
Introduction to SDF (Software-Defined Factory)
MES
Foundational Solutions for Manufacturing Innovation
MES, a core solution that enables autonomous manufacturing and factory intelligence, directs, controls, and collects production activities in real time within the plant.
It is an integrated production management system that consolidates data across the entire manufacturing site to support optimal production operations.
Hyundai AutoEver’s MES offers customer-tailored services effectively based on a flexible architecture that eliminates infrastructure dependencies.
Furthermore, through organic integration with various systems, it realizes the transition beyond smart factories to Software-Defined Factories (SDF).
Unique Advantages
Flexibility
Flexible scalability (scale-out) enabled through modular service architecture based on functional units.
Adoption of open-source databases to improve operational efficiency and reduce costs.
Consistency
Consistent quality levels ensured via a proprietary framework (F/W) and common service-based development methodology.
Provision of virtual verification tools allowing early-stage quality validation during development.
Strengthen
Integrated monitoring system covering production, services, databases, resources, and processes.
Enhanced security and stability through open-source vulnerability scanning, penetration testing, and static code analysis tools.
FactoryBI
Intelligent Factory Management
Factory BI is an integrated intelligent factory
management system that collects, analyzes, and
visualizes diverse data generated from
production sites, providing actionable
insights for manufacturing operations.
Key Components and Features
Data Pipeline Construction
Systematic collection of manufacturing process data from various sources including sensors, PLCs, field systems, and legacy IT.
Optimized pipeline architectures and operations tailored to different data types (real-time, near real-time, batch).
Breaking down boundaries between IT and OT data to provide a storage environment encompassing both structured and unstructured data.
Key Components and Features
Analytics and Visualization Services
Customized services that consolidate heterogeneous service data into a single dashboard for operational use.
Monitoring and alarm visualization necessary for process operations.
Primary analysis utilizing long-term data generated within the manufacturing process.
FEMS
Energy Management and Efficiency Optimization
Hyundai AutoEver has introduced an Energy Management System (FEMS) as a key initiative to achieve carbon neutrality and RE100 goals. This system enables real-time monitoring of energy production and consumption within factories and buildings, and supports efficient energy operations through manufacturing unit consumption analysis.
Additionally, it offers various optimization algorithms for energy consumption forecasting and efficient management of high-energy-consuming equipment, helping users realize tangible energy savings.
Unique Advantages
Energy Production and Consumption Monitoring
Real-time tracking of energy flows from sources such as solar power and fuel cells.
Provides power peak management and energy quality diagnostics.
Monitors energy consumption including electricity, gas, and water within factories and buildings.
Data-Driven Correlation Analysis
Analyzes energy consumption per manufacturing unit (unit consumption).
Offers multidimensional analysis by integrating external data such as weather information and MES systems.
Energy Saving and Optimization Control
Schedule-based optimal control of HVAC and lighting systems.
Smart Vision
Automation of inspection based on 2D and 3D imaging
The Smart Inspection Vision Solution automates visual and specification inspections on industrial and manufacturing sites, replacing human eyes.
Through precise and repeatable video-based inspections, it enhances production quality and provides a scalable quality inspection platform adaptable to various industrial environments.
01
Diagnosis
Customized diagnosis for manufacturing sites and improvement proposals
Design and verification of specialized standard procedures per factory
Diagnosis Service
Vision Diagnosis Process
Current issue analysis and improvement plan derivation
PI Service
Industry/Site process innovation consulting
SOP design
Expert training
02
Implementation
Integrated vision inspection system available at the factory edge level
Customer-tailored customized solutions and existing vision products
Basic Type
Non-Customizing
On-site implementation and installation
Infra(Option)
Specialized Type
Solution Customizing
On-site implementation and installation
Infra (Option)
03
Operation / Maintenance
Continuous operational support through HAE partner companies
Provision of system/infrastructure and on-site operation
System
Hardware (server, sensors)
Infrastructure (network, etc.)
Process
Monitoring, SOP management
On-site training, improvement plan derivation
First-line Response System (with Partners)
VOC reception, first-line response, and VOC handling
Monitoring, system operation support, professional engineering services
2D Vision
Inspection of standardized patterns using 2D image data
e.g., heterogeneous inspection, specification inspection, crack inspection
2D Precision Quality Vision
Inspection of non-standardized patterns using high-quality 2D image data
e.g., automobile paint surface defect inspection
3D Vision
Enables 3D position correction and precise measurement through fusion of 2D + 3D data
e.g., gap/level difference measurement, parts pick & place
Contact an SDF Expert at
Hyundai AutoEver Directly.
Our dedicated experts will provide you with a comprehensive
consultation on detailed features and the implementation timeline.
Virtual Factory Platform
Next-Generation Integrated Digital Twin Platform
The Virtual Factory Platform is an integrated digital twin solution transforming the future of manufacturing.
Leveraging a cloud-native architecture, it reduces the barriers to initial adoption and supports flexible, scalable deployment across various sectors, including smart factories.
By aligning with international standards and offering interoperability, the platform enables manufacturers to accelerate innovation and establish intelligent, seamlessly connected production environments.
Key Features
User-Defined Factory 
Easily Set up production layouts and workflows through an intuitive interface
Allows scenario design and optimization before on-site deployment.
Integrated Monitoring 
Continuously collects and analyzes equipment and sensor data to build a digital twin of the production site
Provides integrated views of equipment status, process flows, and resource usage for smarter decision-making.
Process Simulation 
Validate decisions with WHAT-IF simulations and predict risks before process changes.
Supports productivity improvement and optimal strategy planning.
Digital Twin Federation
Multiple factory digital twins are seamlessly connected
via APIs, forming a unified, intelligent system.
RESTful
Supports Digital Twin Federation—aligned with our Level 4 capability standard for scalable, interoperable twin integration
SD Brain
Software-Defined Brain
The platform integrates core functions leveraging AI agents to realize autonomous production systems.
Through information retrieval, monitoring, code generation, and command & control capabilities, it performs real-time response, supervision, and control of manufacturing sites, enabling an autonomous production environment with minimal human intervention.
Users can make accurate and swift decisions based on on-site data via the SD Brain, intelligently optimizing complex manufacturing operations.
Information Retrieval Agent
Provides real-time Q&A support for manufacturing-related documents and data.
Monitoring and Code Generation Service
Offers on-site monitoring and automatic code generation based on situations.
Command and Control Agent
Implements process and equipment control via conversational chatbot-based autonomous commands, automating field responses.
Contact an SDF Expert at
Hyundai AutoEver Directly.
Our dedicated experts will provide you with a comprehensive
consultation on detailed features and the implementation timeline.
CMS/PHM
Enhancing Manufacturing Competitiveness through Equipment Anomaly Prediction
The CMS/PHM system consists of an AI-based edge computing device (CMS) for equipment anomaly prediction and a condition monitoring solution called PHM (Prognostics & Health Management). It provides real-time status monitoring and fault diagnosis for automated production equipment with complex motions and operational logic, such as robots, helping to prevent unplanned downtime and improve production efficiency.
Unique Advantages
Enhanced Real-Time Performance & Reduced Network Load
Applying edge computing-based data processing methods
Handling Complex Automated Equipment
AI-based anomaly detection covers even unstructured operation patterns
Integration with Smart Factory Ecosystem
Compatible with integrated PHM systems and Hyundai AutoEver’s intelligent manufacturing services
Key Features
First
Data Collection
Collecting signals from analog sensors
Upload cycle configuration and scheduling features
Second
Equipment Monitoring
Real-time monitoring of equipment vibration data
Alert notifications upon anomaly detection
Status trend visualization based on AI diagnostic scores
Third
AI Diagnosis / Analysis
Machine learning-based abnormal detection
FFT (Fast Fourier Transform) analysis of high-speed vibration data
Fourth
Edge Device Operation Management
Remote control and status monitoring
Deployment and management of AI algorithms on edge devices
IoT Platform
Real-Time Data Collection, Processing, and Transmission from Heterogeneous Devices
The IoT Platform is a core infrastructure enabling smart factories by collecting real-time data from diverse industrial equipment and performing control operations. It establishes a unified data pipeline, connecting manufacturing equipment to enterprise systems through a standardized communication framework.
Challenges in Field Data Collection
Complexity in Connecting Heterogeneous Devices Requires development of various communication drivers and interfaces to connect different types of manufacturing equipment and sensors.
Demand for Specialized Expertise In-depth knowledge and hands-on experience with various device communication methods and protocols are essential.
Fragmented Software Environments The coexistence of custom-developed tools, third-party packages, and commercial software increases management complexity.
Difficulties in Adapting Data Processing Logic Frequent system redesign and additional development are required when modifying data processing logic to accommodate changes in the production environment.
Lack of Flexibility for New Communication Requirements Difficult to respond quickly to the integration of new devices or protocols.
Key Features
Key Roles of the IoT Platform in Smart Manufacturing
First
Establishing a Data Pipeline from Equipment to Enterprise Systems
Supports various application services through seamless data flow.
Second
Real-Time Integration with Production Management & Monitoring Systems
Enables sensor-based equipment data collection and remote monitoring/control.
Third
End-to-End Integration from Device Connectivity to Data Collection, Management, and Control
Provides a differentiated IoT platform optimized for manufacturing environments.
Fourth
Integration with Big Data-Based Predictive Maintenance Systems
Improves equipment reliability through failure prediction, anomaly detection, and pattern analysis.
Outcomes
Achieving Sustainable Manufacturing Innovation Through a Data-Centric Platform
Real-time data collection and analysis are organically linked with MES, Factory-BI, big data platforms, and predictive maintenance systems.
Enhances visibility and transparency in manufacturing processes, enabling data-driven decision-making.
Supports not only productivity improvements but also operational efficiency and energy optimization.
Serves as a digital core platform that underpins sustainable smart manufacturing innovation.
Smart Tag System
Factory Optimization Platform Powered by Precision Location Tracking
Hyundai AutoEver’s Smart Tag System is a wireless, integrated location-tracking solution that enables real-time monitoring and management of vehicles, equipment, and tools on the shop floor.
By consolidating complex data processing—traditionally reliant on multiple sensors and scanners—into a single medium, the smart tag ensures data consistency, continuity, and real-time visibility.
Built on advanced wireless technologies such as UWB (Ultra-Wideband), RTK (Real-Time Kinematic), and BLE (Bluetooth Low Energy), the system brings transformative improvements to field-level data handling.
Key Features & Benefits
Shop Floor Activity Management
Integrated management of vehicle location and assembly/quality status through the operational system.
Real-time tracking and matching of vehicles and tools/equipment for streamlined workflow monitoring.
Real-Time Data Communication
Simplified data flow between sending and receiving ends establishes a unified data processing framework.
Enhanced connectivity through strong data interlinking across all collected information.
Quality Assurance & Traceability
Automatic identification of vehicle model, specification, and build order via smart devices.
Accurate tracking enabled by automated location matching between vehicle and tool tags.
Integration with production and quality systems helps prevent defects and ensures high product integrity.
Contact an SDF Expert at
Hyundai AutoEver Directly.
Our dedicated experts will provide you with a comprehensive
consultation on detailed features and the implementation timeline.
Assessment & Consulting for Manufacturing Innovation
Diagnosing the Current State and Defining a Realistic Path to Smart Manufacturing
Hyundai AutoEver provides objective assessments of manufacturing sites to identify achievable, sustainable innovation tasks.
Leveraging over 20 years of expertise in manufacturing IT, we conduct a comprehensive analysis based on the 4M+2E perspective — Man, Method, Machine, Material + Energy, Environment — covering areas such as networks, infrastructure, production, quality, equipment, and logistics.
Based on assessment outcomes, we derive tailored innovation tasks and design TO-BE models, supporting the establishment of a practical and executable smart factory roadmap.
Unique Advantages
Smart Factory Consulting That Goes
Beyond Diagnosis to Execution
First
Over 20 Years of Implementation Experience
Possess extensive field experience through the deployment of manufacturing systems across various affiliates
Advanced diagnostic capabilities based on accumulated use cases and best practices
Second
Action-Oriented and Effective Task Derivation
Identify practical and executable process innovation tasks based on long-term field operation and proven experience
Support phased improvement by deriving quick-win tasks for fast and visible results
Third
Field-Based Consulting Approach
Own practical consulting guidelines and optimization capabilities based on field experience
Offer tailored consulting that reflects on-site needs from the practitioner’s perspective
Operate with consultants who have rich hands-on experience
Fourth
Smart Factory Implementation Support
Provide end-to-end support from diagnosis → design → implementation using Hyundai AutoEver’s platforms and engineering capabilities
Build feasible smart factories in stages with strong strategic execution capabilities
Selected Cases of Diagnostic
and Consulting Projects
OEM Plants Domestic and Overseas Factories
Objective
Diagnose MES (Manufacturing Execution System) vulnerabilities to implement improvements, prevent recurrence of failures, and ensure recovery readiness.
Outcome
Identified improvement areas per legal entity and applied corresponding enhancements.
Group Affiliates Hyundai Kefico
Objective
Manufacturing PI for MES renovation and global standardization
Outcome
Application of improvement tasks derived from diagnostics to standard plants and expansion to global factories
Group Affiliates Hyundai Transys
Objective
MES PI for applying group-standard MES and achieving global integration
Outcome
Expansion to global factories based on diagnostic results
Group Affiliates Hyundai Transys
Objective
Smart factory diagnosis and roadmap development across all plants
Outcome
Solution development review based on actual field needs derived from diagnostic results
Group Affiliates Hyundai Glovis
Objective
PI to analyze and improve issues in the web-based sequencing system
Outcome
Minimization of delays in vehicle supply caused by the system (Pilot application in Korea → Global rollout)
Subsidiaries Motras (12 plants)
Unitus (6 plants)
Objective
IT status check and issue identification following separation of Mobis’ integrated affiliates
Outcome
1) IT Diagnosis
Assessment of ERP, MES, infrastructure/network, security, and IT management system maturity
Action Plan: Implementation of improvement plans based on diagnostic results, including:
Integrated CCR management system, Backup system setup, Network management, Incident/change response application
Company A Existing Plants and New Plants
Objective
Improvement of weaknesses in existing plants and establishment of a smart factory foundation for new plants
Outcome
Strategy proposal for group-level smart factory initiatives based on consulting results
Smart factory construction plan for the new Daegu plant
MES implementation alongside new plant construction (Defined 6 major improvement tasks through consulting)
Company B Both Existing Production Lines and Newly Established Lines
Objective
Maturity assessment of current manufacturing systems and development of phased smart factory roadmap
Outcome
Deriving a roadmap for short-, mid-, and long-term smart factory initiatives, followed by the identification of key priority tasks and ongoing system upgrades in the quality and production domains.
Contact an SDF Expert at
Hyundai AutoEver Directly.
Our dedicated experts will provide you with a comprehensive
consultation on detailed features and the implementation timeline.