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MachineMetrics

Contact

MachineMetrics
47 Pleasant Street, Suite 2-S
01060 Northampton
United States
14133415747

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Service Spectrum: Represented in 11 categories

Software and Hardware
Software for machines
Diagnostic systems and software
Human-machine interface (HMI) software
Software for production and production planning
Manufacturing execution software (MES)
Software for production data acquisition
Software for managing manufacturing systems
Maintenance software
Software for visualisation of process and monitoring
Tool monitoring systems
Cloud applications for production
Computers and peripherals
Data processing systems
Apps for production

About us

Manufacturing's digitization will not be facilitated through generic IoT Platforms nor the standard packaged solutions, but instead through a vertically-integrated hybrid solution that combines the benefits of the IoT Platform with packaged SaaS applications. MachineMetrics has developed this ultimate solution by combining the innovation enablement of an Industrial IoT (IIoT) data analytics platform with the rapid value creation of packaged, cloud-based SaaS services.

MachineMetrics’ optimal hybrid approach automates the collection and transformation of real-time machine data, augmented with data from people, other devices, and systems, to provide descriptive, diagnostic, predictive, and prescriptive analytics through packaged SaaS services that provide immediate and continuous value for manufacturers.

Right now, hundreds of manufacturers are using the MachineMetrics platform to measure and analyze the performance of thousands of machines across their global factories. Our solutions are providing the necessary real-time visibility into production, automatically recommending ways to improve performance, warning shop floor workers of pending problems, even predicting maintenance events to reduce unplanned and costly outages.

THE SOLUTIONS


MachineMetrics Production featuring simple “self-install” IIoT connectivity, our fully automated cloud machine monitoring & OEE software connects to all machine types to provide visualizations of real-time manufacturing production data. Empower operators, production managers, and executives to reduce bottlenecks with real-time production visibility, OEE, and downtime analysis

MachineMetrics Health allows maintenance managers and process engineers to keep machines running with real-time condition monitoring. Manage your machine assets and view real-time equipment status and conditions. Diagnose problems with deep alarm analytics and AI-driven predictive notification. Manage preventative maintenance tasks based on usage or machine conditions. Track utilization of equipment over time to understand current and potential capacity. Predict equipment failures and prescribe solutions to prevent costly downtimes

MachineMetrics Service transforms an OEM or equipment provider’s ability to service their customers by remotely monitoring machines, reducing on-site service calls and providing preventative and predictive maintenance. Quickly resolve machine problems through remote diagnosis and reduce on-site service visits by 10-20%, optimize preventative maintenance plans, validate warranty claims, receive predictive maintenance alerts to understand new service opportunities post-warranty period.

HOW IT WORKS

Connect: MachineMetrics has simplified IoT connectivity with an inexpensive edge device that enables secure ethernet, wifi, and cellular communication while connecting directly to machine tool PLCs and controls. Add your own sensors or connect legacy equipment with digital and analog I/O that is configured and managed remotely through a web interface.

Visualize: Encrypted data is streamed to the secure MachineMetrics cloud where the data is structured and aggregated to enable visualizations and analytics. Access to the historical and real-time data is available through open APIs. Real-time dashboards, historical analysis, and integrations with other systems can be built with these APIs.

Predict: The analytics engine will monitor machine condition and other manufacturing data and initiate an action, such as text notifications when a monitor is triggered. A rules engine is provided for deploying monitors based on machine condition data and patent pending advanced machine learning algorithms can be deployed for detecting anomalous behavior.
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