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CONDITION MONITORING
PREDICTIVE OR PRESCRIPTIVE MAINTENANCE?
T
he prescriptive maintenance market is surging, with forecasts suggesting that this sector will increase in value by a quarter each year over the course of the next decade. The closely related
field of predictive maintenance is experiencing a similarly steep ascent, projected to grow annually by more than 30 per cent until 2031. Both maintenance strategies are effective ways of improving operational efficiency and minimising downtime, but there’s a distinct difference between the two: predictive maintenance uses data analytics and machine learning (ML) to anticipate equipment failures before they happen, while prescriptive maintenance goes a step further, offering actionable recommendations to pre-empt and prevent future disruptions.
Bartek Roszak, head of AI at STX Next, a global leader in IT consulting, believes that the right choice between a predictive or prescriptive approach varies from company to company, as the latter requires more advanced AI and ML capabilities that can be expensive and complex to implement. Roszak says: “Effective maintenance strategies are crucial for maintaining efficiency and continuity of machinery in today's competitive industrial landscape. As organisations face pressure to optimise performance and reduce costs, advanced maintenance techniques have taken centre stage.
In response to increased competition driving the need for improved operational efficiency, organisations in capital- intensive sectors are exploring ways they can modernise maintenance strategies to reduce costs and minimise downtime. These businesses essentially have two choices: predictive maintenance or prescriptive maintenance. Bartek Roszak, head of AI at STX Next, a global leader in IT consulting, explains the difference between these two concepts and outlines the factors companies should consider when deciding on the best approach for them.
“The adoption of predictive and prescriptive maintenance offers a competitive edge by enabling a shift from reactive to proactive strategies. Utilising real-time data, advanced algorithms and IoT sensors, these methods help mitigate risks, cut costs, enhance safety, and extend the lifespan of assets. “Despite the higher complexity and cost, prescriptive maintenance offers more comprehensive decision-making support. While predictive maintenance provides valuable insights into when a failure might happen, prescriptive maintenance goes beyond, offering actionable steps following the analysis of data patterns. These steps can include root cause analysis, optimal repair schedules and even operational adjustments designed to prolong equipment life.
10 AUTUMN 2024 | INDUSTRIAL COMPLIANCE
“Choosing between predictive and prescriptive maintenance hinges on a range of factors, including industry requirements, financial resources, existing infrastructure and long-term goals. While prescriptive maintenance provides deeper insights and better decision support, its complexity and higher costs may not be feasible for all businesses. Good planning and budgeting are crucial in this respect.” Roszak concludes: “Businesses that operate in capital-intensive industries must consider a maintenance strategy that is intuitive and allows them to operate on the front foot. Identifying which approach best suits the needs of the organisation – before rushing into development integration – is a vital aspect of modernising the upkeep of machinery.”
STX Next
stxnext.com
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