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Complex Discrete Manufacturing with ThingWorx Analytics

ABC faced two major issues when utilizing the data collected. One is the size, complexity, and disparity of the data collected would take lot of man-hours to process and evaluate. Two is real-time data cannot be put into use due to the nature of data science analysis.

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  • SUPPLIER
  • ThingWorx (PTC)
    The ThingWorx IoT Technology Platform. One Platform. Limitless Possibilities. ThingWorx is the only enterprise-ready technology platform that enables innovators to rapidly develop and deploy smart, connected solutions for the Internet of Things. Build Fast Connectivity and development tools made for IoT enable developers to quickly create, test and deploy solutions faster than ever thought possible. Build Smart Integrated capabilities of the platform enable developers to create more feature-rich solutions in a fraction of the time of other platforms. Build for Enterprises Developers quickly and easily create IoT solutions that are scalable, secure, and meet the needs of the largest of enterprises.
  • INDUSTRIES
  • Equipment & Machinery
  • FUNCTIONS
  • Discrete Manufacturing
  • CONNECTIVITY PROTOCOLS
  • USE CASES
  • Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.
  • CUSTOMER
  • ABC Manufacturing operates 27 global manufacturing facilities, strategically located throughout the world, to provide direct support and services in close proximity to our international customers.

  • SOLUTION
  • ThingWorx Analytics is a learning technology that automates advanced and predictive analytics. The technology uses proprietary artificial intelligence and machine learning technology to automatically learn from data, discover patterns, build validated predictive models, and send information to virtually any type of application or technology.

     

  • DATA COLLECTED
  • Facility Health Status, Humidity, Production Efficiency, Temperature
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Cutting Edge (technology has been on the market for < 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Efficiency Improvement - Maintenance]
    Cloud solutions enable aggregation of 'big data' to automatically detect patterns, anomalies, and flag machines for maintenance before downtime, manufacturing errors, or yield faults occurred.
    Impact #2
    [Efficiency Improvement - Maintenance]
    Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
    Impact #3
    [Data Management - Data Analysis]
    Data Mining, prognostics, diagnostics, and embedded intelligence are used to make ABB's production line smarter so that they can meet their customer's needs.
  • QUANTITATIVE BENEFIT
  • Benefit #1

    ThingWorx Analytics was able to quickly analyze billions of points of information to determine that a particular failure pattern occurred when product line 2 was running operation 4467ANX when the ambient temperature was between 77 degree celsius and 79 degree celsius.

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