Manufacturing productivity measures how effectively a factory converts resources such as labour, machine time, materials and energy into saleable output. Improving it means producing more good-quality output from the same resources, or maintaining output while using fewer resources, without compromising safety, quality or delivery performance.
Productivity is not simply about making machines or people work faster. Sustainable improvement comes from removing the conditions that prevent productive work: unplanned downtime, long changeovers, bottlenecks, waiting, quality losses, poor planning and unreliable production information.
In summary, manufacturing productivity is a key performance indicator that influences the financial success, competitiveness, and sustainability of manufacturing operations.
This guide explains how manufacturing productivity is calculated, how it differs from efficiency and utilisation, which metrics manufacturers should track, and the practical steps teams can take to improve it.
What is manufacturing productivity?
Manufacturing productivity is the relationship between the output produced by a manufacturing process and the resources used to produce it.
The basic principle is:
Manufacturing productivity = Output produced ÷ Resources used
The Office for National Statistics describes productivity as the amount of output generated per unit of input. In a manufacturing environment, the chosen output and input will depend on what the business wants to understand.
For example, a manufacturer might measure:
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Good units produced per labour hour
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Tonnes processed per machine hour
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Production value per employee
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Good units produced per kilowatt-hour
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Output generated per pound of manufacturing cost
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Saleable output per kilogram of raw material
Productivity improves when the organisation produces more valuable, good-quality output from the same input, 9or produces the same output using less input.
This distinction is important. Producing more units does not necessarily mean productivity has improved if the factory also uses proportionally more labour, machine time, materials or energy.
Why is manufacturing productivity important?
Higher manufacturing productivity allows a business to make better use of its existing resources. It can help manufacturers increase capacity and competitiveness without immediately investing in additional machinery, floor space or labour.
Improving productivity can contribute to:
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Increased output from existing equipment
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Lower production cost per good unit
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Improved margins
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Shorter lead times
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More reliable delivery performance
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Better use of labour and machine capacity
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Reduced overtime
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Less scrap, rework and material waste
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Lower energy consumption per unit
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Greater flexibility when demand changes
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A stronger case for, or against, capital investment
Productivity also affects working conditions. A factory with frequent breakdowns, missing materials and unpredictable schedules can create constant firefighting. Removing those problems can make production calmer and more manageable as well as more productive.
However, productivity should never be pursued at the expense of safety, quality or employees. Improvements need to remove obstacles from the process rather than simply expecting people to work faster.
Read our manufacturing use cases that demonstrate how important manufacturing productivty is.
How is manufacturing productivity calculated?
The general manufacturing productivity formula is:
Productivity = Output ÷ Input
Both sides of the calculation must be clearly defined.
Measuring output
Depending on the manufacturing process, output might be measured as:
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Total units produced
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Good units produced
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Tonnes, litres or metres processed
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Standard hours produced
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Sales value
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Gross value added
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Completed orders
Where possible, use good or saleable output rather than total output. Including defective units can make a process appear more productive even when it is creating additional scrap and rework.
Measuring input
The input could include:
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Labour hours
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Machine hours
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Raw materials
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Energy
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Manufacturing cost
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Capital
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A combination of several resources
A productivity figure only has meaning when the output and input are stated. Saying that a factory has “a productivity score of 20” is incomplete. Saying it produces “20 good units per labour hour” makes the measure understandable.
Working closely with machine operators when implementing new technology enables them to understand why the technology is there, how it makes their life easier and how it feeds into the overall business objectives.
How machine monitoring supports productivity improvement
A versatile IoT machine monitoring platform can provide valuable insights into the performance of your machines across the board. Look for a solution that supports a wide range of machinery and is compatible with different manufacturing processes.
Consider platforms that offer user-friendly interfaces for easy navigation and interpretation of data. Cloud-based solutions can provide real-time monitoring and accessibility from various locations, which can be beneficial for overall management.
FourJaw’s production monitoring system automatically captures machine status and shows when equipment is running, idle or stopped. Operators can add context by recording predefined downtime reasons, allowing teams to understand not just when production stopped, but why.
Depending on the configuration, manufacturers can use FourJaw to monitor:
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Live machine status
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Machine running and idle time
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Downtime duration and reasons
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Machine utilisation
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Production counts
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Good and scrap quantities
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OEE availability and performance
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Energy consumption
This data can help teams establish a consistent baseline, prioritise recurring losses and verify whether an improvement has been sustained across multiple shifts or machines.
Production monitoring does not improve productivity by itself. A dashboard can show that a machine repeatedly stops while waiting for material, but people still need to investigate the cause, change the process and confirm that the action worked.
The most effective approach combines:
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Automatic production data to show when and where output is being lost
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Operator context to explain what was happening
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Structured problem-solving to identify the cause
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Clear ownership to turn the finding into action
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Continued measurement to confirm the result
Learn more about how machine monitoring software helps manufacturers identify downtime, underutilisation and opportunities to release capacity.
Tom Westley, Operations Director at Westley Plastics explains how FourJaw’s machine monitoring platform has given the leading cast-nylon and plastic components manufacturer greater visibility of its manufacturing process, leading to improved cycle times, and more consistent and efficient 24/7 production.
How should manufacturers set productivity targets?
A useful productivity target should be:
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Clearly defined
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Connected to a business objective
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Based on a reliable baseline
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Relevant to the process being measured
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Achievable without compromising safety or quality
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Owned by the people responsible for the process
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Measured consistently over time
Instead of setting a vague goal to “increase factory productivity by 20%”, define the expected operational change.
For example:
Increase good output on the constrained machining cell from 16 to 18 parts per labour hour by reducing weekly tooling and inspection downtime from four hours to one hour by the end of the quarter, while maintaining first-pass yield and safety performance.
This makes it possible to understand what must change, who is responsible and whether the result has been achieved.
Start with visibility, then focus on one loss
Often seen as a challenge, but most definitely an opportunity once understood, is knowing what and where the top causes of machine downtime occur in your manufacturing operations.
Solutions such as FourJaw can provide almost instant insight into the top causes of machine downtime. Being able to identify and address the top causes is crucial to overcome production challenges and unlock capacity and efficiency opportunities in a factory.
Identifying and addressing the top causes of machine downtime is crucial for increasing capacity and efficiency in a factory. Here are some common causes of downtime and potential solutions:
Equipment Failure:
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Cause: Regular wear and tear or lack of maintenance.
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Solution: Implement a proactive maintenance schedule, conduct regular equipment inspections, and replace parts before they fail.
Unplanned Maintenance:
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Cause: Unexpected issues that require immediate attention.
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Solution: Enhance predictive maintenance using IoT sensors and analytics to anticipate potential failures and address them before they lead to downtime.
Changeovers and Setups:
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Cause: Time-consuming changeovers between product runs.
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Solution: Streamline changeover processes, invest in quick-change tooling, and provide training to reduce setup times.
Material Shortages:
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Cause: Running out of materials required for production.
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Solution: Implement effective inventory management systems, work closely with suppliers, and establish backup sources for critical materials.
Quality Issues:
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Cause: Production halts due to quality control problems.
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Solution: Enhance quality control processes, implement real-time monitoring systems, and invest in employee training.
Lack of Operator Training:
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Cause: Inefficient operation and troubleshooting by machine operators.
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Solution: Provide regular training for operators, create detailed standard operating procedures (SOPs), and cross-train employees for multiple machines.
Summary
Manufacturing productivity improves when a factory creates more good output from the resources it already uses. That does not mean pushing machines and people harder. It means finding and removing the downtime, waiting, variation, defects and process constraints that prevent resources from creating customer value.
Begin by defining the output and input that matter. Establish a reliable baseline, identify the largest controllable loss and investigate its cause with the people closest to the process. Test an improvement, measure the result and standardise it when the evidence shows that it works.
Production data provides the visibility needed to choose the right problem and track progress. Sustainable improvement comes from what the organisation does with that information.
Here are our top ten reasons why you should invest in digitising your factory:
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Increased Productivity: Minimising downtime means more time in production, leading to higher output and increased overall productivity.
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Cost Savings: Proactive maintenance and predictive analytics can help prevent costly breakdowns, reducing the need for emergency repairs and minimising production losses.
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Improved Efficiency: Technology allows for real-time monitoring of machine performance, enabling quick identification and resolution of issues, thus improving overall operational efficiency.
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Enhanced Quality Control: Continuous monitoring and data analysis can contribute to better quality control, ensuring that products meet or exceed quality standards.
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Optimised Resource Utilisation: With reduced downtime, resources such as labour, energy, and materials are utilised more efficiently, contributing to cost savings.
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Competitive Advantage: A technologically advanced and efficient manufacturing process can give your company a competitive edge in the market, attracting customers who value reliability and timely delivery.
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Employee Satisfaction: Empowering employees with modern technology and streamlined processes can lead to improved job satisfaction, as they can focus on meaningful tasks rather than dealing with frequent breakdowns and downtime.
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Adaptability to Market Changes: Technology allows for flexibility and adaptability in production processes, making it easier to respond to changing market demands and customer requirements.
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Informed Insight-Driven Decision-Making: Utilising data insight from machine monitoring technologies enables informed decision-making, helping you identify patterns, optimise processes, and plan for future improvements.
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Sustainability: Optimising production processes through technology can contribute to sustainable practices by reducing waste, energy consumption, and environmental impact.
Ready to get going?
Request a demo and one of our technology advisors will get in touch to discuss your challenges and manufacturing productivity goals.
