Chris Iveson, CEO of FourJaw Manufacturing AnalyticsA new report from Sheffield-based
FourJaw Manufacturing Analytics reveals that UK manufacturers could collectively unlock hidden production capacity worth up to £129 billion in additional annual output without significant investment in new equipment or staff.
The report,
Return on Information, states that constrained funding and skilled labour shortages are accelerating manufacturers’ adoption of affordable digital technologies, and predicts that tools such as data analytics will be the main driver of factory performance improvements within three years.
Research shared in the report shows that data is a top digital priority for manufacturers, with at least half already integrating analytics across all key departments. Improved productivity and more efficient use of resources are the most widely cited gains, with industry bodies reporting that small and medium-size (SME) manufacturers have improved productivity by 10-15% with analytics.
FourJaw reports that large manufacturers using best-practice production data approaches, such as real-time monitoring across the factory floor, typically achieve a 16% increase in output, while SME producers usually make productivity improvements of 30%. It estimates that industry-wide adoption could unlock up to £67 billion per year for large UK manufacturers and £62 billion for SMEs.
Efficiency imperativeChris Iveson, CEO at FourJaw Manufacturing Analytics, said: “Almost every manufacturer today faces an efficiency imperative, but rising costs, capital constraints and labour shortages are making traditional productivity strategies harder to pursue. The factory floor is still a black box for many organisations. Huge amounts of production data already exist, but without the tools to interpret it, manufacturers struggle to see where time and capacity are being lost.
“Manufacturers that adopt a structured approach to production data are discovering significant hidden capacity within their existing operations. The gains can be substantial — and they often come without the need for major investment in new machines or facilities.”
The report identifies three operational practices common among manufacturers reporting the greatest improvements in productivity: Focus on fundamental data — prioritising core production metrics such as machine utilisation, downtime, energy consumption and machine-level profitability; achieve total factory visibility — combining machine data and operator input to create a unified, real-time view of factory performance; and adopt data-driven continuous improvement — using operational insights to identify and eliminate the root causes of lost production time.