The Asset Guardian (TAG) Mobi is the chosen preventive maintenance and asset management solution (EAM) for Microsoft Dynamics 365 Business Central, designed to deliver reliable manufacturing asset solutions that reduce risk and downtime.
TAG Mobi prevent downtime, maximize asset performance, and accelerate onboarding and training with the support of AI tools and intuitive dashboards.
No silos. No extra software. Just smooth integration and quick adoption—so maintenance teams can work faster, and managers get the data they need to make decisions.
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eMaint is a cloud-based Computerized Maintenance Management System (CMMS) that has received accolades for enabling organizations to enhance their maintenance reliability, equipment management, and compliance efforts. This versatile software caters to businesses of all sizes, integrating essential tools into a singular, robust platform that conserves both time and financial resources for its users. Its features encompass maintenance scheduling, work order management, comprehensive reporting, and dashboards, along with predictive and preventive maintenance capabilities accessible via mobile devices. Furthermore, eMaint provides effective inventory and asset management solutions, ensuring that organizations can maintain optimal operational efficiency. By streamlining these processes, eMaint helps businesses focus on their core objectives while maintaining high standards of reliability.
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DC-E DigitalClone for Engineering
DigitalClone® for Engineering stands out as the sole software that seamlessly combines various scales of analysis within a unified platform. Recognized globally as the premier tool for predicting gearbox reliability, DC-E excels not only in its modeling and analysis capabilities specific to gearboxes and gear/bearing interactions but also uniquely incorporates fatigue life modeling through advanced, physics-based methodologies (US Patent 10474772B2).
By enabling the creation of a digital twin for gearboxes, DC-E encompasses every phase of an asset's lifecycle—from the optimization of design and manufacturing processes to the selection of suppliers, followed by thorough root cause analysis of failures and condition-based maintenance along with prognostics. This innovative computational environment significantly decreases both the time and costs associated with launching new designs and ensuring their long-term maintenance, ultimately enhancing operational efficiency. Moreover, it empowers engineers to make informed decisions at every stage, leading to improved performance and reliability.
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SparkPredict
SparkPredict, an advanced analytics tool developed by SparkCognition, is revolutionizing maintenance strategies by dramatically minimizing downtime and yielding significant savings on operational expenses. This all-encompassing platform analyzes sensor data and utilizes machine learning to deliver actionable insights, enabling the detection of inefficiencies and the forecasting of potential malfunctions before they occur. By incorporating predictive AI analytics into your operational framework, you can protect your assets and maintain their functionality. Additionally, it boosts workforce productivity during periods of downtime by providing guidance on necessary repairs and maintenance tasks. The application of machine learning also aids in capturing the essential knowledge of your employees by formalizing their skills and insights. This enables not only easier anticipation of machine-related issues but also extends the range of predictions regarding asset failures. The system further empowers users to make quick and well-informed repair decisions through clear indicators signaling potential breakdowns. To maintain its predictive effectiveness, it features automatic model retraining, continuously updating its algorithms to adapt to changing conditions and enhance performance over time. In summary, SparkPredict presents a holistic maintenance solution that effectively harmonizes efficiency with reliability, ensuring organizations stay ahead in operational excellence. Embracing such innovative technology sets the foundation for future advancements in asset management.
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