Machine Productivity Software | Manufacturing Analytics

Increase asset utilisation

Identify underutilised assets and optimise resource allocation.

Reduce Unplanned Downtime

Identify and address the top causes of downtime with detailed downtime reports.

Drive Continuous Improvement

Drive continuous improvement: optimise processes for speed, quality and cost savings.

Essential Feature

Machine Utilisation

FourJaw provides standardised machine utilisation data, enabling you to identify inefficiencies and optimise existing resources without additional hardware or personnel investments.

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Pro Plan Feature

OEE

Enhance operational efficiency and reliability in manufacturing processes by understanding your overall equipment effectiveness. Get a real time view of productivity to get a true view of asset utilisation and capacity.

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Frequently Asked Questions

How can machine monitoring help productivity?

By leveraging the capabilities of machine monitoring systems, manufacturers can gain valuable insights, enhance control over their processes, and systematically eliminate waste, thus achieving greater efficiency and productivity.

Many manufacturers use machine monitoring as part of their wider continuous improvement initiatives. As the data is ideal to help identify and inform what machines and processes can be improved.

How important is productivity in manufacturing? The importance of manufacturing productivity lies in its impact on overall operational performance, competitiveness, and profitability.

Manufacturing productivity refers to the efficiency and output of a manufacturing process in relation to the resources invested, such as labour, time, energy, and materials. It is a measure of how effectively a factory or production facility converts inputs into outputs, typically measured by the quantity and quality of goods produced within a given time frame. You can read our blog that looks at the importance of manufacturing productivity here.

What tools and methodologies can help improve manufacturing productivity?

There are many methodologies and tools that manufacturers can use to help manage and improve productivity. Perhaps most famously is Kaizen, which originated from Japan and is infamous with the Toyota Production System.

Here are a few of our recommendations:

Kaizen (Continuous Improvement)

The 8 wastes of lean

Lean & Agile Manufacturing principles

SMED - Short for Single-Minute Exchange of Die

The 5S Methodology

Lean and Scrum Framework

Can FourJaw be used with older machinery?

Absolutely. We've tailored our machine monitoring system to ensure it's usable by manufacturers across the board, which includes ensuring compatibility with machines of every age, make, or model. This means even machinery that's decades old can be upgraded to a "smart machine," enabling you to gain insights into the productivity of your equipment.

How does FourJaw capture Downtime Data?

FourJaw captures downtime data through a combination of its MachineLink hardware and tablets mounted on the machines.

When a MachineLink detects downtime, it automatically prompts the operator via the tablet to select the reason for this downtime from a predefined list.

This process is quick and non-disruptive, designed to minimise interruption to the operator's workflow.

By simplifying the input method to just a few taps, FourJaw ensures that accurate downtime reasons are recorded with minimal effort, enabling a comprehensive analysis of machine productivity and downtime causes without impeding your operators.

Do you have any examples of manufacturers improving productivity?

Yes, we have a number of manufacturing success stories that provide real-life examples of how manufacturers have benefited from our machine monitoring platform. Here are some examples that focus on productivity improvement:

Aerospace Manufacturer sees factory uptime increase by 30%.

Luxury goods manufacturer sees machine productivity increase by 14% and parts capacity increase by 65%.

Global aerospace component manufacturer finds 273 lost productive hours per week.