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Many businesses take a “fix it when it breaks” approach to production maintenance, believing it saves time and money. Yet reactive maintenance often leads to unexpected downtime, costly emergency repairs, and premature equipment failure. Beyond the direct costs, inefficient operations, lost productivity, and safety risks can silently drain profit. When it comes to production maintenance, a proactive strategy isn’t just an upgrade, it’s a financial safeguard.
Run to failure (RTF) — where production machinery is operated without maintenance until it breaks — is still being used by 51% of manufacturers1. It is commonly applied to cheap or non-critical assets, or machinery with short life cycles, where immediate failure does not impact overall production. While RTF can be effective in specific, controlled situations, its broader application can lead to significant costs and risks, which is why it is quickly being replaced by predictive and preventative maintenance.
One of the most significant drawbacks of reactive maintenance is unplanned downtime. According to Forbes, unplanned downtime costs industrial manufacturers as much as €47 billion a year2. Each instance can disrupt production, leading to backlogs and delivery delays. In a busy manufacturing facility, a critical machine failure could mean hours or even days of halted productivity.
Equipment failure often requires extensive parts cleaning, repair, or replacement. Breakage of one part may also damage related components, such as bearings or seals. Over time, this can far exceed the costs of regular preventive maintenance.
Emergency repairs typically demand skilled technicians who charge overtime or after-hours fees. For example, an emergency repair on a machine during peak production can require a team to work through the night or on weekends, driving up payroll expenses and stretching staff resources.
Without preventive care, equipment exposed to continuous dirt, stress and wear will suffer from premature failure and a shortened lifecycle. Reactive maintenance may mean replacing expensive machines sooner than planned, raising capital expenditures.
When equipment fails unexpectedly, it often poses significant safety risks to employees. Mechanical failures can lead to accidents and injury or environmental hazards. For example, a malfunctioning production machine might emit dangerous fumes, or broken parts could result in operator injury. These safety risks can also have legal repercussions, leading to higher non-compliance fines, insurance premiums or liability claims.
There are several machine maintenance strategies that offer substantial benefits, lower risks and cost. Before adopting one it is important to assess your current processes and the opportunities to improve cost, productivity, sustainability and compliance. Safetykleen’s experts offer a free on-site assessment of your parts cleaning processes and recommendations to improve them, all without obligation.
Preventive Maintenance offers a proactive, scheduled approach to parts cleaning where tasks are performed on a regular basis to reduce the likelihood of equipment failure. Scheduled maintenance is ideal for extending the lifespan of equipment, ensuring that parts like filters, fluids, and belts are cleaned or replaced before they fail.
Predictive Maintenance uses technology and data analytics to predict when equipment is likely to fail. Sensors monitor conditions such as temperature, vibration, or oil quality to detect early signs of wear or the need for maintenance. This is particularly beneficial for high-value equipment, as it optimises productivity while extending machine life.
Condition based Maintenance involves monitoring the condition of equipment and performing maintenance only when specific indicators, such as lubrication levels, temperature, or pressure, suggest that maintenance is necessary. This data-driven approach allows maintenance to be tailored to the machine’s needs, reducing unnecessary cleaning and maintenance while preventing breakdowns. This is particularly useful in large plants, where extensive equipment monitoring can provide real-time insights into machine health.
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