Nexplant EAM

Smartly manage all assets in your manufacturing facilities.

Maximize uptime through flexible deployment of maintenance strategies powered by data-driven analytics

Capitalize on industrial IoT connectivity and machine learning to optimally manage your assets throughout the lifecycle - from purchase and continuous operation to maintenance and disposal. Enhance your asset management competitiveness with Nexplant EAM which supports various languages for multi-national sites.

Benefits

Real-time asset management with IoT technology to reduce TCO

  • Optimizing asset operation Improving life
    expentancy of equipment
    Thorough management of
    equipment life cycle
  • Improving productivity 5% Improved Reducing errors by
    securing equipment reliability
  • Reducing inventory and purchase cost 25% Reduced Securing visibility of equipment components making component supply more efficient

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Features

  • Automatic deployment of maintenance policies through data-analytics

    Automatically issue maintenance work orders based on specified time-schedule and accumulated usage (TBM/UBM), and predictive maintenance (CBM) work orders triggered by real-time asset health and condition monitoring. Configure and automate routine maintenance to comply with safety regulations. Work orders issue history is accumulated to enable automatic recovery at future events, in a form amenable to analysis.

  • Automatic replenishment for optimal inventory levels management

    Keep spare parts specification up to date and save precious time on identifying and querying necessary parts through integrated procurement and inventory management module. Understand demand for materials in your facility and maintain optimal inventory levels through auto replenishment, which takes into consideration intelligent reuse and recycling of spare parts.

  • Comprehensive cost management which supports global multi-plant environment

    Get comprehensive oversight on costs associated with maintenance work orders, which supports global multi-plant environment by managing multiple facilities and warehouses and exchange rates. Forecast and allocate budget that encompasses every stage of maintenance – from spare parts unit costs to supplier lead time, and from service contract to maintenance duration.

  • In-depth analysis and report

    Collect and execute analysis on KPI for spare parts procurement and maintenance. Analyze costs associated with maintenance orders from every angle to find opportunities for improvement. Auto-generate reports utilizing 35 types of data visualization to facilitate informed and swift decision making.

Awards & Recognition

Samsung SDS acknowledged by global experts

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

- In a report called The Forrester Wave™: Industrial Internet-of-Things Software Platforms, Q3 2021, Forrester identified the 8 most significant IIoT software platform providers after a thorough evaluation of each vendor across 35 criteria grouped into three categories: current offering, strategy, and market presence. Samsung SDS has been named a contender for its Brightics IoT platform.

- The Forrester Wave report states: "The platform supports key industrial IoT software platform functions, including a broad set of wide-area (e.g., 3G, 4G/LTE, and 5G) and short-range wireless (e.g., BLE, Wi-Fi, and Zigbee) connectivity options that are among the most comprehensive in this Forrester Wave."

- The Forrester report also notes: "The Brightics IoT platform is particularly relevant in key industry segments such as manufacturing, construction, building, and logistics." 

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