• 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.​​ 

Cómo funciona​​ 

    • 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.​​ 

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    Seamless​​ 

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

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    Reliable​​ 

    Deliver consistent, dedicated connectivity and performance, with the option of authorized remote access.​​ 
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    Segura​​ 

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

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    Agile​​ 

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

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    Easy​​ 

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

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    Poderoso​​ 

    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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