Total Factory Visibility (TFV)
See every machine. Improve every outcome.
A clear path to ongoing operational excellence, productivity, and sustainability.
Introduction
UK manufacturers have faced significant disruption in recent years, including supply chain challenges, rising energy costs, inflation, and skills shortages. While confidence is improving, manufacturing growth is expected to remain weak through 2026 as these pressures continue to impact productivity and operational performance.
In response, manufacturers are increasing investment in automation, analytics, and AI technologies to improve productivity and control costs. According to Make UK, 71% of manufacturers plan to invest in technology to address rising operational costs.
However, the success of these technologies depends on access to accurate, reliable, and accessible manufacturing data.
Modern factories generate vast amounts of production data every day. According to IBM, the average factory produces around one terabyte of data daily, equivalent to approximately 6.5 million pages of documents.
This data has the potential to provide valuable insights into machine performance, downtime, production efficiency, energy consumption, and overall factory performance. However, with less than 1% of manufacturing data being analysed, many manufacturers are missing opportunities to improve productivity, reduce downtime, lower costs, and increase production capacity.
Why? Because much of this data remains trapped in legacy systems, disconnected software platforms, and incompatible formats. According to theManufacturing Leadership Council, around 70% of manufacturers still rely on manual data collection methods such as clipboards, spreadsheets, and paper-based processes, making it difficult to access real-time insights and act on production issues quickly.
Manual data collection is slow, incomplete, and prone to errors. It often leaves production managers relying on estimates rather than facts, frustrates operators with additional administrative tasks, and makes it difficult for leadership teams to make informed decisions about capacity, investment, and operational improvement.
Without accurate, real-time manufacturing data, many businesses lack a clear understanding of machine utilisation, downtime, production performance, and the true capacity of their factory.
The manufacturers that succeed will be those that cut through this complexity and gain a single, real-time view of factory performance. With complete visibility into machine utilisation, downtime, production output, and operational efficiency, they can make faster decisions, identify improvement opportunities, and respond quickly to changing business demands.
That’s Total Factory Visibility.
Download the guide to TFV
What is Total Factory Visibility (TFV)?
Total Factory Visibility (TFV) gives manufacturers a real-time view of their entire production environment in one place. Every machine, production line, and shift can be monitored through a single source of truth, providing complete visibility into factory performance.
TFV combines automated machine data, including machine utilisation, uptime, downtime, production output, and energy consumption, with operator input such as downtime reasons and operational context. This creates accurate, trusted manufacturing data that can be shared across the business, from shop floor teams and production managers to continuous improvement specialists and leadership teams.
Rather than monitoring individual machines or waiting for weekly and monthly reports, manufacturers with Total Factory Visibility can view the factory as a connected system. This enables faster decision-making, quicker responses to production issues, more effective bottleneck identification, and continuous improvement based on real-time operational insights.
The result is improved machine utilisation, reduced downtime, increased production capacity, and better overall factory performance.
See the impact of TFV on manufacturers
The data fundamentals of TFV
The key to achieving Total Factory Visibility is focusing on a small number of critical manufacturing metrics that can be measured consistently across every machine, production line, and factory.
We call these metrics Fundamental Machine Data. They provide the real-time insights manufacturers need to understand where productivity is being gained, where capacity is being lost, and which improvements will have the greatest impact on factory performance.
01. Machine Utilisation
Machine utilisation measures how much of planned production time a machine is actively running and producing parts.
Continuous machine utilisation monitoring helps manufacturers identify idle time, small stops, bottlenecks, and inefficient production practices that reduce output. By improving machine utilisation, manufacturers can unlock hidden capacity, increase production output, and improve factory productivity without investing in additional equipment.
02. Machine Downtime
Machine downtime tracks every planned and unplanned production stop, providing a complete picture of lost manufacturing time. When downtime occurs, operators can record the reason, giving production teams the context needed to identify and eliminate recurring issues.
Real-time downtime monitoring and alerts help manufacturers respond quickly to production disruptions before they escalate into significant losses. Regular downtime analysis, including Pareto reviews of downtime causes, helps continuous improvement teams prioritise actions that reduce lost production time, improve machine reliability, and increase overall equipment effectiveness (OEE).
03. Machine-Level Energy Consumption
Machine-level energy monitoring gives manufacturers visibility into how much energy each machine consumes and the true cost of production.
Tracking energy usage helps identify energy-intensive processes, unexpected consumption spikes, out-of-hours usage, and declining machine performance. These insights support more informed decisions around maintenance, equipment replacement, and energy efficiency improvements, with clear data to demonstrate return on investment.
Machine-level energy data also supports ISO 50001 initiatives by helping manufacturers identify Significant Energy Users (SEUs), establish Energy Performance Indicators (EPIs), and track progress against energy reduction targets.
04. Machine-Level Profitability
Machine-level profitability combines production, utilisation, downtime, and energy data to provide a clearer understanding of how each machine contributes to operational performance and profit margins.
By understanding the true cost and profitability of production activities, manufacturers can improve quoting accuracy, identify unprofitable jobs, prioritise improvement initiatives, and make more informed investment decisions.
This enables businesses to focus resources where they will have the greatest impact, improving profitability, increasing factory efficiency, and supporting long-term growth.
The benefits of total factory visibility
1. Improve Productivity and Manufacturing Efficiency
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Total Factory Visibility gives manufacturers real-time visibility into machine performance, utilisation, downtime, and production activity, enabling faster and more targeted operational improvements.
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With access to live production data, manufacturers can identify bottlenecks, respond quickly to production issues, and improve machine utilisation across the factory. Continuous monitoring also helps uncover hidden capacity, reduce lead times, minimise overtime, and increase output from existing equipment.
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Downtime tracking provides visibility into recurring production losses, helping teams address the root causes of stoppages and improve overall equipment effectiveness (OEE).
Result: Increased productivity, improved machine utilisation, reduced downtime, and more output from existing factory assets.
2. Make Data-Driven Decisions and Increase Profitability
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Real-time manufacturing data enables faster, more confident decision-making across production, operations, continuous improvement, and leadership teams.
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Manufacturers can compare performance across machines, shifts, production lines, and sites using consistent and objective data. This makes it easier to identify underperforming assets, prioritise improvement opportunities, and allocate resources more effectively.
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By linking machine utilisation, downtime, energy consumption, and production performance to financial outcomes, manufacturers can quantify losses, evaluate return on investment, and focus on the changes that will have the greatest impact on profitability.
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Machine-level performance data also supports more accurate quoting, better production scheduling, and improved capacity planning, helping protect margins and avoid unnecessary capital expenditure.
Result: Better operational decisions, improved profitability, and greater confidence in investment and planning decisions.
3. Reduce Energy Consumption and Support Sustainability Goals
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Total Factory Visibility helps manufacturers measure, monitor, and reduce energy consumption across machines, production lines, and factory operations.
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Machine-level energy monitoring identifies high-energy assets, unnecessary consumption, and opportunities to improve efficiency. Manufacturers can detect energy use during idle periods, reduce waste, and prioritise improvements that lower both operating costs and environmental impact.
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Accurate energy data also supports sustainability initiatives and simplifies compliance with standards such as ISO 50001 by providing reliable Energy Performance Indicators (EPIs) and identifying Significant Energy Users (SEUs).
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By continuously monitoring energy performance alongside production metrics, manufacturers can improve both operational efficiency and environmental performance.
Result: Lower energy costs, reduced waste, improved sustainability performance, and measurable progress towards environmental targets.
TFV Impact
"FourJaw has delivered a significant and sustained improvement in the productivity levels we're getting from our manufacturing centres."
Monitoring downtime, eliminating the various causes of waste in our processes, and deploying colleagues to where they are needed most has helped achieve a 30 per cent overall increase in uptime.
“FourJaw is helping us move towards 4.0 based on our S&OP.”
OEE increased 28% in 12 months, and from a continuous improvement point of view, we now have concrete evidence of where to focus our energy, helping with costings, budgeting and machine utilisation.
Your path to total factory visibility
Achieving TFV is a positive, manageable shift, a structured journey from disconnected data to complete, real-time insight.
In this section, we provide a practical roadmap based on proven best practice and FourJaw’s experience working with more than 150 manufacturers.
Objective: Understand your current state and define what success looks like.
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Map how production data currently flows — manual, spreadsheets, or systems.
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Identify pain points: downtime, lack of visibility, poor utilisation, energy waste.
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Engage cross-functional teams (operators, CI, finance, leadership).
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Set SMART goals: e.g., “Reduce unplanned downtime on Line A by 15% within six months.”
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Use Value Stream Mapping (VSM) to identify where data gets stuck.
This phase ensures everyone understands the ‘why’ behind TFV and is aligned around measurable outcomes.
Objective: Pick the right technology and define a pilot with clear ROI.
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Select a platform that connects to any machine, regardless of age or brand.
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Ensure it can automatically capture utilisation, downtime and energy data.
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Define a pilot area (one line, cell or process) where data gaps are most painful.
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Involve an engaged team that will champion the change and share feedback.
A focused pilot delivers early success stories and helps refine your rollout strategy.
Objective: Connect, collect and show results quickly.
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Install sensors and connect machines to your TFV platform (e.g., FourJaw’s plug-and-play hardware).
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Configure dashboards for the key data points identified in Phase 1.
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Train operators and managers on interpreting and using data.
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Review data weekly, celebrate quick wins, and share results internally.
Early wins — such as reduced downtime or increased uptime — build momentum and confidence across the business.
Objective: Extend TFV across the factory and embed it into daily operations.
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Apply pilot lessons to wider rollout — line by line or department by department.
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Standardise data collection methods and reporting templates.
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Assign internal champions to lead adoption and continuous improvement.
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Integrate TFV data with ERP or BI systems for enterprise-wide insight.
Result: A factory-wide, real-time view that connects people, machines and decisions — all speaking the same data language.
Complete guide
to Total Factory Visibility.
The future of productive manufacturing
In today’s competitive, unpredictable landscape, Total Factory Visibility is essential.
It turns fragmented, reactive operations into a seamlessly integrated, intelligent production environment.
With TFV, you can:
- Gain real-time, holistic insight across your factory.
- Empower every role to make better, faster decisions.
- Improve utilisation, reduce energy waste and maximise profit.
Key takeaways
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Assess and Define Goals: Before any new tech implementations, understand your current data setup (old and new machines, how data is collected). Talk to everyone to identify key issues (lack of visibility, downtime, high energy costs). Turn these into specific, measurable goals (e.g. "reduce unplanned downtime by 15% in six months").
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Start with a Pilot: Don’t try to roll out TFV everywhere at once. Choose a focused pilot project to prove its value. Pick an area you feel may have a problem, engage staff, and identify potential for quick wins. This helps your team get comfortable and refines your strategy. For example, if one cell or production line has significant downtime, focus your pilot there, track improvements, and use that success to build momentum.
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Scale Systematically: Once your pilot shows clear results, expand TFV across the rest of the factory. Apply all lessons learned from the pilot (tech setup, training, cultural buy-in) to the wider rollout. Expand in phases (department by department, line by line) to maintain stability. Standardise data collection and reporting. Finally, integrate your TFV data with other enterprise systems, such as ERP and supply chain management, to create a fully connected digital system.
The future factory is visible, connected and data-driven. And the path to get there starts with your first pilot project.
Tips and FAQs
Check out some of our top tips and answers to frequently asked questions about TFV.
Run a pilot on one production line or cell with clear pain points. Capture utilisation, downtime and energy data, then share results weekly to prove ROI.
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Understand Your Current Setup and Problems: Begin by examining your existing data systems closely, identifying key issues (such as being unable to monitor progress or experiencing unexpected machine shutdowns), and establishing clear, measurable goals. Consider using the DMAIC framework, part of the Lean Six Sigma method, to guide this.
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Data Integration: Select the technology that best aligns with your end goal. Begin with a small, focused pilot project in an area where problems are clear, and quick, measurable wins are possible to prove its value. The PDCA (Plan-Do-Check-Act) model supports this.
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Piloting TFV Technology: Implement the technology in the pilot area, connect systems, and set up data collection. Explain, engage and train employees to get buy-in and iron out any initial issues. Show quick, tangible results to build confidence and support.
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Scale and Expand: Once the pilot is successful, gradually roll out TFV across the entire factory. Ensure data collection, reporting, and feedback are consistent between the factory floor and top floor, and integrate TFV data with other business systems.
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Improves Operational Efficiency: TFV helps identify and resolve issues that negatively impact operations and machine utilisation — providing staff with the insight to reduce unproductive downtime by pinpointing the causes of stoppages, enabling corrective action.
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Informed, Data-Driven Decisions: Consistent, clean and accurate real-time data enables fair comparisons of performance, helps you utilise resources effectively, and creates opportunities to increase profit from each machine.
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Sustainability and Energy Savings: TFV provides detailed information on the energy usage of each machine. This enables you to target and reduce energy consumption, prevent waste and avoid unnecessary costs.
No. With IoT sensors and plug-and-play solutions, TFV can capture data from any mix of machines, new or legacy.
The short answer is yes. There is strong evidence that manufacturers are turning to technology to try and improve efficiency using technology.
We often see manufacturers citing economic pressure as their reason to invest in affordable technology solutions: Facing economic challenges and rising costs, manufacturers are investing in AI, data analytics, and automation (technologies that rely heavily on robust, clean data) and data-driven decision-making to improve productivity and profitability.
Ready to see your factory differently?
FourJaw helps manufacturers of all sizes achieve Total Factory Visibility with affordable, plug-and-play technology that connects to any machine — old or new.
Start your TFV pilot today.
