• Near real-time analytics

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  • The challenge

    Increasing efficiency in manufacturing

Manufacturing plants prioritize continuous improvement by increasing efficiency and reducing waste. Having more efficient systems to monitor production-line performance helps achieve that goal. 

By using predictive maintenance and a cohesion of processes, manufacturers can significantly reduce downtime and improve productivity.

  • Smart manufacturing is projected to account for 22 billion connections worldwide by 2025. (Currently, there are 17.7 billion industrial IoT connections.)

     

    Source:     
    https://www.juniperresearch.com/press/industrial-iot-iiot-connections-smart-factories
  • 25% of businesses are already using IoT to connect their equipment. The number of IoT-connected devices is projected to increase to 43 billion by 2023. 

     

    Source:
    https://www.mckinsey.com/business-functions/operations/our-insights/establishing-the-right-analytics-based-maintenance-strategy
  • The global predictive maintenance market was valued at $4.45 billion in 2020. It is projected to reach $64.25 billion by 2030; growing at a CAGR of 31% from 2021 – 2030.

     

    Source:
    Business Wire: https://www.businesswire.com/news/home/20211022005161/en/Global-Predictive-Maintenance-Market-Opportunity-Analysis-and-Industry-Forecasts-2021-2030---ResearchAndMarkets.com
  • Aging machines and shorter business life cycles

    Manufacturing companies are under enormous pressure to keep up with increasingly shorter business and product life cycles. In addition, machines are continually aging and becoming more expensive to maintain.

  • Private 5G opportunities

    Private 5G-enabled manufacturing analytics

Private 5G can support the numerous connected devices used to monitor various manufacturing processes.

Private 5G Network can handle the massive volume of data needed for accurate analysis in large-scale manufacturing operations.

Private 5G’s low latency can capture near real-time insight into manufacturing operations.

Manufacturers can use their analysis of captured data to optimize operations and make more educated decisions.

How it works

    • Private 5G-powered manufacturing could increase efficiency and reduce downtime.

      • An active production line has many cameras and IoT sensors. The cameras check for quality and the sensors monitor the condition of the equipment.

      • Private 5G can support the massive number of sensors used in manufacturing facilities, helping manufacturers know when something is broken or needs to be replaced soon.

      • Connected cameras could use computer vision to check the tolerances and flaws of the units and note where in the process those flaws are occurring and how often.
      • Connected cameras could transmit data to edge computing servers, potentially using ultra-low latency to rapidly respond to flaws in units and improve quality.

      • In this way, the process changes, helping to reduce flaws and produce more units.
      • The production line can integrate insights and adjust the production process. This helps things flow rather than experience costly downtime and defective units.

Built right for business

Private 5G is a secure, scalable, wireless network that is totally customizable to your premises and operational requirements.

  • Infinity symbol

    Seamless

    Enable mobility by extending your network’s operational range across facilities.

  • gear

    Reliable

    Deliver consistent, dedicated connectivity and performance, with the option of authorized remote access.
  • Security icon

    Secure

    Benefit from built-in LTE and 5G security, with management and monitoring against threats.

  • flexibility two arrows

    Agile

    Find scalable solutions for virtually any facility size, and Quality of Service (QoS) levels. 

  • Thumbs up

    Easy

    Be empowered to focus on running your business, not your network. 

  • Black star

    Powerful

    Get high-bandwidth, low-latency LTE and 5G performance for the most demanding applications.

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    • Future use case not currently available.
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