Oil & Gas And Energy

FourJaw's machine monitoring solution is designed for use on all types of manufacturing equipment.

In oil and gas equipment manufacturing, our analytics software is frequently used with:

• CNC Lathe
• CNC Turning
• CNC Milling
• Drilling
• Oxy-Fuel Cutting Machines
• Laser Cutting
• Waterjet Cutting
• Plasma Cutting
• Grinding
• Inspection
• Packaging
• Weighing

Learn more about CNC machine monitoring with FourJaw.

Machine monitoring provides manufacturers with full factory floor visibility of how well machines are being utilised, by showing the machine downtime and uptimes.

With the FourJaw machine monitoring platform, operatives can categorise the reasons for the downtimes so factory floor managers get a clear picture of how productive the machines are. Here's a useful case study that shows how a manufacturer improved their machine utilisation by 400%. 

FourJaw's machine monitoring software provides Energy usage data combined with Machine productivity data to help factories reduce their energy usage, energy costs and carbon footprint. 

You can find out more about FourJaw's energy monitoring feature here. 

No. Unlike traditional machine monitoring solutions, we designed our machine monitoring platform to be accessible, not only did we make it easy to install (minimising disruption to your shop floor) but we also made it affordable.

We offer monthly payment plans and you can install it yourself, so there are no high upfront installation costs often associated with traditional machine monitoring solutions. Find out more about the pricing plans we offer here. 

Utilisation Data

FourJaw starts with utilisation data in it's simplest form. The specially designed MachineLink hardware is a combination of miniature computer and current clamps. These two current clamps are typically attached to the total power incomer of the machine and the main drive unit, for example a spindle motor of a CNC machine.

This raw data is recorded every second and sent to our secure Azure cloud platform. The data is then instantly built into chunks of running and not running data, typically over 20-second periods, which is then displayed and categorised throughout the FourJaw platform.

What this provides is a very accurate measure of when the productive part of the machine experiences load and when it does not. Applied to this data is FourJaw's Machine Learning program which automatically classifies the data into productive/active and idle/inactive time. This means warm up runs and free air cycles are classed as idle time in the case of a CNC machine as the machines is not in its productive state.

Downtime reasons are inputted by the operator of the machine via a tablet which is installed beside the operator.

Each tablet is paired with a machine via the same FourJaw portal running on a Chrome browser.

When the MachineLink hardware, detailed above, measures a set period of idle time a pop-up appears on the platform asking the user to log why the period of idle time has occurred, this can be inputted straight away, during the downtime or even post the downtime if required.

Yes it does. 

Work order information can be inputted manually or directly imported from a .CSV file.

This data includes the WO number, operations, machine names, estimated job time and start dates.

As with all parts of the FourJaw platform, this data is combined with the downtime and utilisation data to provide meaningful and actionable insights into your production process.

As a manufacturer, likely, you'll already be monitoring Work order times, Ops times and setup times, of course, this is all useful, however, it does not give you the big picture.

For instance, it doesn't identify and inform you of what improvements can be made to improve shop floor productivity.

Machine monitoring differs because it will give you real-time, actionable shop floor data such as:

• Top 5 downtimes, per factory, cell or machine
• Pareto plots
• Average setup time per part
• Downtimes and machine active times per work order

This information can be used to make decisions based on fact and not opinion.