Suppliers > United States > MachineMetrics

MachineMetrics

Manufacture with Confidence
MachineMetrics Logo
Overview
HQ Location
United States
Year Founded
2009
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Twitter Handle
Company Description

MachineMetrics is the authority on real-time manufacturing analytics. When we started MachineMetrics, we identified undeniable gaps in current manufacturing processes: a lack of real-time production visibility and a lack of communication between machine operators and their managers. Roughly 50% of US companies admitting to not having a systematic roadmap toward Digital Manufacturing solutions nor automation and over 90% of companies have yet to attempt to integrate solutions to date. Many companies have attempted to develop solutions for this problem but it had yet to be truly solved. We spoke with 100+ manufacturers to gather their feedback on why these solutions did not fit their needs and how it could be designed better.

MachineMetrics was thus created; an IIoT manufacturing analytics and machine monitoring platform to help companies visualize where they stand now and overcome the challenges along the Digital Transformation journey to advance forward from reactivity, to proactivity, and to predictivity. Our fully automated machine monitoring solution provides visualizations of real-time manufacturing production data, instant notifications, as well as historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data.

We've simplified IoT for the shop floor and are empowering manufacturers to develop their roadmap toward manufacturing excellence with the easiest to use and simplest to integrate software on the market. MachineMetrics is driving manufacturing efficiency by more than 20% on average for our customers and we are proud to be developing the future of manufacturing alongside them.

IoT Solutions

We collect data from machine controls and machine operators for the entire production floor and use this data to monitor machine conditions (faults, status, tool utilization), production (OEE & Machine Utilization), work-order status, quality Tracking and downtime reasons that can be auto classified or indicated by the operator with touch screen tablet interfaces mounted at the machine tool. Real-Time Dashboards are also mounted on the production floor to provide an at-a-glance indication if jobs are performing at or below expectations (against Parts Goal or OEE metrics).

MachineMetrics provides robust and superior reporting features including OEE reports, job reports, downtime and quality pareto reports that can be compared by shift, machine, and when viewing individual job/part reports. Utilization, TEEP and OOE are also measured and visible in historical reports. The real time and historical data collected allows managers to not only track efficiency and quickly identify production bottlenecks that are related to specific machining operations but also helps measure the effect of process improvements.

MachineMetrics' mobile friendly, secure cloud application allows you to access this data from anywhere and requires no servers, automatic updates, and minimal IT expenses. All that's required is that machines are networked and accessible from our gateway device. Our highly adaptable system can be customized to fit any manufacturer's specific production needs.

Key Customers

Fastenal, Carolina Precision Manufacturing, Carlson Products, Praxair, Benchmade

Technology Stack
MachineMetrics’s Technology Stack maps MachineMetrics’s participation in the platform as a service (paas), application infrastructure and middleware, analytics and modeling, and functional applications IoT Technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
None
Minor
Moderate
Strong

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