Smartly manage all assets in your manufacturing facilities.
Apply IoT technology to your manufacturing assets and gain access to maintenance history as well as real-time data regarding performance, workload and other significant indices. Ensure proactive maintenance and reliable services that maximize asset lifecycles and minimize maintenance costs through transparent asset management.
Generate a comprehensive view of asset utilization including service hours and resource consumption quickly. Execute multifaceted analysis on asset utilization and maintenance history to continuously tweak and improve your process and gain know-how.
Create and manage asset data to reflect actual manufacturing sites, asset models, hierarchical structures, zones, locations and more. Modify your asset maintenance policy with flexibility using our powerful system whether you are setting up a new site or expanding or consolidating existing facilities. Systematically manage your assets to gain a competitive edge in the global market.
Manage your assets in manufacturing facilities leveraging data-driven analysis. Provide parts and supplies in real-time to transform how you manage your assets.
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.
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.
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.
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.
in 2021 Magic Quadrant for Industrial IoT Platforms, Gartner
in The Forrester Wave™: Industrial IoT Software Platforms, Q3 2021, Forrester
Various services will be provided by freely utilizing 3D data from different devices. Users can realize innovation in work environments.
The most optimized automatic equipment control enables to quickly respond to sudden changes of products. While enhancing productivity and reducing downtime, the quality can be maintained at efficient costs.
This is the most optimized solution that manages PCs on site in an integrated manner by controlling unauthorized software, blocking security threats, and deploying the central control of work systems.
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- 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."