Automatically capture machine data to drive your continuous improvement strategy.
What Is Downtime Monitoring?
Downtime monitoring software is used to improve production efficiency and factory floor productivity. The technology captures accurate real-time data on downtime events in your manufacturing facility. Our customers use this information to improve machine utilisation, OEE, production capacity and understand the true cost of jobs.
Track 100% Of Machine Downtime
FourJaw's manufacturing downtime tracking workspace enables operational teams to understand their true machine utilisation by factory, cell, or individual machines.

Data replaces opinion, resolving runtime discrepancies with ease and confidence.
See the top machine downtime reasons by factory, cell or machine.
Locate bottlenecks in the production process to drive productivity and gain capacity.
How FourJaw's Downtime Monitoring Works
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When FourJaw detects downtime, operators are prompted to select a downtime reason.
Allow operators to job on and off from their machine to track time spent on jobs and schedule more efficiently.
Operators' machine knowledge is key. Tablets enable them to report production issues to managers, improving efficiency.
Downtime Pareto
FourJaw's Downtime Pareto chart gives a view of the top downtime reasons as a percentage of total downtime.
- FourJaw's Downtime Pareto chart gives a view of the top downtime reasons as a percentage of total downtime
- Make changes that will have the biggest impact to improve your Overall Equipment Effectiveness (OEE) to gain valuable production capacity and maximise machine utilisation

OPERATOR DASHBOARD
FourJaw's user-friendly interface on the tablets mounted to your operators' machines allows them to proactively provide downtime reasons when automatically prompted.

STATUS ALERTS
Improve speed of communication. Alert production managers based on tailored event triggers that are important to your operations.

Custom Categories
FourJaw allows you to create custom machine downtime monitoring categories and reasons to ensure data classification suits how you work.


"Downtime monitoring has enabled us to react quicker to resolve production matters. Data captured by machine means we can review bottle necks by section/machine shop. We are able to re-direct labour to fulfil machine capabilities."






FourJaw Pricing
Plug-and-Play Installation that works on any machine. Training & ongoing support are all included in the price.
Essential
£37.50/mo Per machine - Billed monthlyStandard
£75.00/mo Per machine - Billed monthlyEmpower Your Machine Operators
Machine operators often know about production issues that impact productivity, but lack the tools to effectively communicate them to production managers.
FourJaw machine monitoring solves this problem with easy-to-use tablets that allow operators to log and communicate issues in real-time. This data enables both operators and managers to identify areas for improvement and boost machine availability.
Frequently Asked Questions
Machine downtime is measured through recording of when a machine is not running or producing parts. Calculated as a percentage, equipment downtime analysis allows you to track and compare production levels over a period of time. The calculation is as follows:
Machine downtime measures how frequently machines, cells, or factories are faced with unplanned downtime. Recording and reporting downtime allows production managers to review resource utilisation and identify production inefficiencies.
Equipment downtime analysis is the process of reporting, reviewing and strategising, using information given by a machine downtime software.
Downtime analysis is an essential part of running a successful manufacturing plant. It enables production managers to better understand issues affecting production and fix them.
Tracking downtime gives managers accurate and reliable information which can paint a clearer picture as to what is causing production delays and issues. Production managers can use this information for decision-making and production planning to improve efficiencies, productivity and OEE.