Automatically capture machine data to drive your continuous improvement strategy.
Accelerate Your Manufacturing Output
Whether you make chassis bolts, engine valves, or brake system components, our machine monitoring software can help you negotiate production bottlenecks and minimise waste while also increasing output with your current resources.
Our plug-and-play technology works for batch and production workflows on any type of machine regardless of brand, model or age. There are no large upfront installation costs or ongoing support contracts, so you can expect a return on investment typically achieved in months, not years.
Drive Productivity, Gain Capacity
By monitoring and analysing production data, FourJaw will enable you to drive productivity, gain production capacity and lower your cost of goods, resulting in a more efficient and profitable manufacturing process.
The Data To Drive Down Manufacturing Costs
Know the detail behind each job in real time. Enabling you and your team to plan resources and cost jobs more effectively.
Real-time machine productivity data provides you with the top reasons/causes of machine downtime, by factory, cell or machine, giving you the data insight to quickly and efficiently make changes to your production line that otherwise would have caused bottlenecks that lead to lost productivity.
In addition to productivity data, our machine monitoring platform provides manufacturers with a view of their energy consumption, by machine, cell/production line or factory.
This data enables manufacturers to reduce the energy that otherwise would have been wasted on unproductive downtime. Saving you money and helping you to reduce your carbon footprint.
Optimise Factory Efficiency
- Real-time decision-making for productivity improvements
- Root-cause problem-solving
- Confident capital expenditure and hiring
- Improved communication and culture
- Focused continual improvement efforts
- Reduce wasted energy consumption
Three simple steps to factory digitisation
Simply supply power to the FourJaw MachineLink IoT device, then attach the sensor to your machine’s power cable.
Connect the MachineLink to your factory's Wi-Fi network (or simply wait for it to connect if you requested pre-configuration).
Log in to the secure, cloud-based FourJaw Web App and data from your factory floor will start to pull into the platform within a few minutes.
Frequently Asked Questions
In 2022, Forbes reported how ‘unplanned machine downtime’ (poor productivity) has a massive impact on a factory’s overall efficiency and profitability. It stated that the average manufacturer confronts 800 hours of equipment downtime per year — more than 15 hours per week.
Downtime is not cheap! For example, the average automotive manufacturer loses $22,000 per minute when the production line stops.
When put into perspective, FourJaw's downtime monitoring software is a small investment with a huge return, and offers automotive manufacturers a simple way to save a lot of money.
FourJaw's advanced machine monitoring solution is designed for use on all types of manufacturing equipment and is suitable for factories of all sizes.
In the automotive industry, our analytics software is frequently utilised on:
Oxy-fuel cutting machines
Learn more about CNC machine monitoring with FourJaw.
There are generally two main types of automotive manufacturing: automotive parts manufacturers, which can be independent machine shops that make car parts/accessories for the aftersales market (for example, Cobra Sport), and larger automotive parts manufacturers that manufacture parts for the automotive brands (OEMs). Examples of multinational automotive part manufacturers include Goodyear and Bosch. The second is the automotive brands themselves: think of the likes of Honda, Toyota and the world’s biggest automotive manufacturer (by revenue) Volkswagen group.
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%.
Although not specifically designed to reduce energy usage, machine monitoring software can help factories reduce their energy usage indirectly and therefore become more efficient and sustainable.
Because our machine monitoring software reports on your machine utilisation, by machine, cell or factory, the data allows you to see when a machine is being run but doesn't need to be, i.e. wasting energy. By identifying 'negative machine downtime' we have helped a number of manufacturers reduce their production costs, thanks to the data insight FourJaw machine monitoring provided.
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.
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, it's highly 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.