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    FACTOVA VF - Industry-Specific Customized Digital Twin Services

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    Sold by: LG CNS 
    FACTOVA VF collects diverse data generated throughout the manufacturing process and visualizes it in 3D utilizing digital twin technology. The platform also performs virtual simulation based on manufacturing environment changes to identify potential issues in advance.
    Listing Thumbnail

    FACTOVA VF - Industry-Specific Customized Digital Twin Services

     Info
    Sold by: LG CNS 

    Overview

    FACTOVA VF supports multiple services including data collection, simulation, 3D visualization, virtual verification, and web viewing capabilities. This comprehensive solution enables manufacturing industries to proactively identify and analyze potential issues while monitoring factory conditions and situations in real-time.

    The platform establishes a framework for continuous optimization of products and processes, providing a visualization system for rapid analysis and resolution of on-site issues. It also includes simulation model assets for logistics optimization from the design phase, that can be applied to large-scale logistics systems. This capability allows for route optimization when transport equipment is added or path is modified.

    ▶ Who is it for?

    • Manufacturers wanting to monitor factory operations without spatial or temporal constraints
    • Manufacturing companies seeking stable maintenance and management of production systems
    • Organizations looking to optimize logistics and process equipment in a virtual environment without additional equipment investment
    • Companies planning to implement Virtual Factory solutions using Amazon services

    ▶ What does Factova VF provide?

    • Data collection services supporting various industrial protocols
    • Web development services using 2D or 3D visualization tools for rapid deployment
    • Real-time streaming services for large-scale data transmission
    • Simulation for virtual verification services for early problem detection
    • Security authentication services for authorized user access and operation

    ▶ Implementation Steps

    [Step 1] Define Smart Factory Data

    • Define data levels being produced at the factory and classify collectible items by system
    • Standardize data and restructure to terminology repository

    [Step 2] Collect Defined Data

    • Identify data communication specifications for each system
    • Design communication modules and preprocess data according to standardized specifications
    • Distribute and store preprocessed data

    [Step 3] Develop 2D or 3D Interface

    • Develop 2D (web) or 3D (Unity) interfaces using FACTOVA VF development tools
    • Reduce development time by reusing screen assets (templates) from various industries

    [Step 4] Data Integration

    • Connect collected data through data streamer server for real-time transmission
    • When data is produced from the factory, real-time screen updates and historical data playback is enabled

    ▶ Value Proposition

    • Rapid deployment of Virtual Factory services incorporating multi-industry experience and expertise
    • Cost-effective data traceability and operations
    • Early issue detection before production to provide and user-centric data analysis Why LG CNS?
    • Large pool of industry-specific business experts, system specialists, and cloud professionals
    • Implementation of verified solutions based on global standards
    • AWS SaaS VF service offering

    Highlights

    • [Optimization through Virtual Factory] Transform smart factory operations beyond automation, information transformation, and intelligence integration to quickly identify and resolve various on-site issues in real-time. Leverage years of experience to achieve maximum impact with minimal investment in a short timeframe.
    • [Virtual Factory through Virtual Verification] Implement Digital Twin technology for production, equipment, process, and utilities to perform virtual simulations matching real factory environments. Optimize operational environments through pre-verification, simulate various equipment and utility layouts for new factories and production lines, and optimize logistics flow and equipment placement in virtual warehouse spaces.
    • [Virtual Factory through Analysis/Prediction] Proactively predict and respond to anomaly response that could occur in manufacturing environments by incorporating data-based AI/Big Data prediction models for production operation. Monitor factory, plant, and equipment operations in virtual space, determining maintenance timing and methods based on operational data. early anomaly detection can also prevent equipment shutdowns

    Details

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    AWS Infrastructure Integration

    FACTOVA VF services collect data, offer simulation, visualize 3D, virtual verification, etc. FACTOVA utilizes Amazon EKS (Amazon Elastic Kubernetes Service) to maintain/provide the mentioned services. Amazon EC2 allows for FACTOVA VF installation and operations.

    FACTOVA VF is built using Amazon Sass. It uses AWS DocumentDB for historical data management and AWS ElastiCache (Memory DB) for real-time data management. It also uses AWS RDS for relational data storage, and AWS MSK for Message-Oriented Middleware.

    AI model is built using Amazon AI service and SageMaker, and can offer the visualized and predicted data on screen, allowing for business decisions based on KPIs.

    Contact Information

    We are an AWS Managed Service partner and provide end-to-end support for your cloud environment.

    Please do not hesitate to contact us for more information. Factova@lgcns.com