The Away

Introduction to The Away

  • What is The Away?

    • The Away is an integrated AI platform that innovates the production process of manufacturing companies.
    • The Away platform plays an important role in accelerating the digital transformation of manufacturing companies and strengthening their competitiveness.

  • Expected effects of The Away

    • Integrated management : Efficient process monitoring and management by integrating
      various solutions in a single platform
    • Data integration and analysis : Real-time data collection and analysis to support decision-making
    • Automation and prediction : Automation and prediction analysis of production processes based on machine learning and deep learning
    • Cost reduction : Reduced production costs by improving quality and energy efficiency, and prevention of failures
    • Strengthen sustainability : Sustainable business operations through energy efficiency and monitoring of environmental indicators
    • Improve customer satisfaction : High-quality products through quality control and defect prevention
    • Flexibility and scalability : Expandability according to changes in the company and customized solutions for a wide range of industries and their sizes

Major features of The Away platform

  • i-EMS
    (Intelligent Energy Management Solution)

    • Monitoring of energy use :  Real-time monitoring of energy usage and suggestions of efficient usage plans
    • Predictive analysis : Prediction of energy consumption patterns and establishment of energy management strategies
    • Automated control : Optimization of energy consumption through automatic control of facilities and equipment
    • Tracking of environmental indicators : Monitoring and reporting environmental impacts

  • i-PIS
    (Intelligent Produce Process Innovation Solution)

    • Real-time production data analysis : Real-time data analysis and quick detection of problems in the production process
    • Automatic quality inspection : Real-time inspection of product quality and automatic classification of defective products through the automated system
    • Optimized production plans : Increase productivity through efficient allotment of materials and labor
    • IoT integration : Integrating with IoT devices to monitor and automatically regulate the production processes

  • i-QOS
    (Intelligent Quality Optimization Solution)

    • Real-time quality monitoring : Real-time monitoring of product quality indicators and automatic detection of abnormalities
    • Quality data analysis : Identifying opportunities for improvement and resolving problems through quality data analysis
    • Automatic defect management : Automatic handling of defective products and minimizing quality problems
    • Quality certification and compliance : Product quality certification and compliance capabilities

  • i-PMS
    (Intelligent Predictive Maintenance Solution)

    • Failure prediction : Prediction and prevention of equipment failure through sensor data and machine learning models
    • Optimized predictive maintenance schedule : Reduce costs and minimize production downtime by optimizing the maintenance schedule
    • Remote monitoring : Remote monitoring of facilities and immediate response to problems
    • Automatic reporting and recording : Automatically generate equipment maintenance records and report response results