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    Overall Solution Enables the Whole Process of Digital Innovation

    2024-04-25

    Abstract:

    2024.04.23-26
    NECC, Shanghai, China
    Booth: 4.1D32

    Yi+ digital solution, which employs intelligent machine, intelligent cell, and automation as carriers, relies on AI and the Yi+ intelligent manufacturing platform to provide customers with a one-stop intelligent manufacturing and intelligent service experience. Meanwhile, it can provide customized overall digital solutions based on customer needs.

    The solution runs through the whole management process, from planning to final product warehousing, significantly enhancing plan accuracy while simultaneously decreasing resource waste through process optimization. Furthermore, the solution can improve the efficiency of equipment commissioning, accomplish total quality traceability, and offer strong data support for quality assurance. By collecting real-time operating parameters from the equipment and combining them with advanced warning systems, it can promptly identify equipment faults and downtime causes, greatly improving equipment utilization efficiency and bringing higher efficiency and lower costs to production.

    1. Yi-MES:

    Yi-MES (Yi Manufacturing Execution System) focuses on equipment downtime waste, raw material waste, production quality waste caused by opaque manufacturing process, information silo, etc. It helps customers reduce costs and increase efficiency through the equipment interconnection technology base provided by Yi+ intelligent manufacturing platform, combined with Yi-MES technology management, production management and other functions. Yi-MES fully adopts cloud native 2.0, which will provide customized services to customers more efficiently.

    2. Yi-CMS:

    Yi-CMS focuses on two important areas of equipment and process of molding enterprises, providing customers with simple and easy-to-use equipment monitoring, efficiency analysis, process standards and parameter tracking management functions. The system is easy to deploy and fast to implement, helping customers with digital transformation. Yi-CMS will focus more on device interconnection and process data management, helping customers transform their business from single machine management to overall system integration.

    3. Remote Diagnosis:

    Remote diagnosis focuses on after-sales service, remote adjustment, and fault diagnosis of molding equipment. Based on remote diagnosis systems, it can solve common equipment problems, improve service efficiency, reduce service costs, and empower customers with Total Productive Maintenance system.

    4. AR Remote Collaboration:

    YIZUMI's newly developed AR enterprise cloud platform is based on industrial Internet real-time data collecting technology, AR technology and 3D modeling, providing customers with remote collaboration, product display and remote training, and other services, reducing collaboration costs, improving communication quality, and bringing new digital interactive experience.

    5. Process Transplantation:

    Yi+ Intelligent Manufacturing Platform's new feature, process transplantation, is independently developed by YIZUMI and specifically designed for injection molding manufacturers. It integrates process control and can upload and distribute process files to high-end intelligent injection molding equipment and auxiliary machines with one click, achieving intelligent process management.

    Yi+ intelligent manufacturing platform focuses on "4+1" core technology to create molded vertical Industrial Internet APP application solutions, fully embraces digital technology, cooperates with ecological partners, and creates more value for customers with the company philosophy of "Sustainable, innovative technology for humankind".

    YIZUMI Booth

    For more wonderful details, please visit us at booth D32 in Hall 4.1 or follow us on social media.

    For more information,please feel free to contact us:

    huangmin@yizumi.com

    *The data above were acquired by testing in the factory, only for your reference. As to the specific data, please refer to the actual equipment.

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