How does FourJaw help manufacturing leaders make better decisions?

FourJaw gives manufacturing leaders real-time visibility into machine utilisation, downtime, productivity and factory performance. Accurate production data helps teams make more informed decisions about capacity planning, investment, staffing, continuous improvement and operational priorities, using a single source of truth for factory performance.

What kind of ROI can we expect from FourJaw?

Manufacturers using FourJaw typically achieve productivity improvements of 10 to 30 percent within months of deployment, often without additional headcount, machinery or capital investment. The platform helps uncover hidden capacity, reduce inefficiencies and increase output from existing assets.

Can FourJaw data support performance reviews and KPI reporting?

Yes. FourJaw provides utilisation and downtime data for OEE tracking, shift or team comparisons and management reporting. Production-performance dashboards and automated email snapshots help teams share metrics and align stakeholders around performance goals.

How secure and scalable is FourJaw for multi-site operations?

FourJaw combines plug-and-play hardware with secure cloud-based manufacturing software. It is designed to scale from a single factory to multiple sites, allowing users to view and compare performance across sites on one platform.

How quickly can teams start seeing results?

A typical FourJaw installation and setup for five to ten machines takes a few hours, with insights available within days. Following installation, the customer-success team works with stakeholders to align insights with business goals and identify early improvement opportunities.

Reduce Manufacturing Operating Costs

Optimise shifts & reduce reliance on overtime

Identify production losses that push work beyond normal operating hours

Cut unnecessary energy use Compare energy consumption with machine activity to find avoidable running costs.

Spend less time compiling reports Replace manual machine-activity records with automatically captured data and shared dashboards.

Real world results

Reducing Operating Costs with FourJaw

Project leadME Manager

"The goal was to increase output without major capital investment, and a 60% asset utilisation rate was set as the target by upper management."

Through three Continuous Improvement initiatives established and supported by FourJaw's data, the team reduced overtime in the machine shop by 49% from its peak.

Project leadHead of Manufacturing Engineering

"This automotive OEM wanted to reduce unnecessary machine energy use."

Using FourJaw’s energy data, the manufacturer identified opportunities to switch machines off outside production hours. An initial trial recorded approximately 600 kWh less energy use per week. Weekend shutdowns are now an established routine, reducing unnecessary energy consumption without interrupting production.

Turn operational changes into measurable savings

Use production evidence to guide changes to shifts, machine shutdown routines and working practices.

Compare the results with overtime records, energy bills and reporting time to establish what expenditure or effort has actually fallen.

Learn how this manufacturer eliminated their night shift while maintaining output, reducing labour and energy costs

Read case study

How can production monitoring help reduce manufacturing costs?

Production monitoring reveals avoidable losses in machine time and energy use.

Teams can use that evidence to reduce expenditure or improve the cost per good unit.

Can FourJaw help reduce overtime?

Yes, FourJaw helps identify losses during normal production hours that may contribute to overtime. Addressing those losses can reduce the need for extra hours.

How does FourJaw help identify energy waste?

FourJaw lets teams review energy consumption alongside machine activity, helping them investigate unnecessary running, idle consumption and shutdown opportunities. Learn more.

Does recovered production time count as a cost saving?

Recovered time creates capacity. It becomes a cash saving when expenditure falls, such as lower overtime payments or energy bills. We recommend that you measure the two separately.

Reduce Manufacturing
Operating Costs