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From firefighter to strategist: your roadmap to smarter maintenance

Your maintenance department is running from incident to incident. Excel sheets full of work orders, technicians unsure which job should come first, storage rooms packed with spare parts nobody has a clear overview of. Sound familiar? Then it’s time to shift from firefighting to strategic asset management. In this blog, I’ll share a practical roadmap that helps you achieve tangible results within 90 days.

The reality of reactive maintenance

Let’s be honest: most maintenance departments are still operating in firefighting mode. Your team reacts to whatever breaks instead of preventing failures. Work orders disappear in emails, WhatsApp messages, and Post-its. Technicians visit the same site twice because they forgot the right tools.

This way of working exhausts your team. They run from crisis to crisis with no time to structurally improve. Meanwhile, costs rise, productivity drops, and your organisation becomes increasingly vulnerable to major breakdowns.

The good news? You can break this cycle without turning your entire organisation upside down. A phased approach enables quick wins that generate direct cash flow while you work toward mature asset management.

Phase 1: Quick wins with immediate impact (0-30 days)

Start with improvements you can make today. These steps cost little but deliver fast results:

Centralise your work orders

Stop using Excel, email, and WhatsApp. Choose one central system for all maintenance requests. This can even be a simple tool, the key is having everything in one place. Result: 20% less duplicate work within two weeks.

Prioritise based on impact

Not every failure is equally critical. Create a simple matrix: which assets are business-critical? What does downtime cost per hour? Focus on the top 10 assets that can cause the most damage. Now your technicians know what truly matters.

Streamline your spare-parts inventory

Walk through your storeroom. What’s been sitting there for years? What do you use weekly? Identify the 20% of parts that account for 80% of consumption and ensure these are always in stock. The rest? Clean up or reduce to minimal levels. This immediately frees up 15–20% working capital.

Phase 2: Digitalisation and data (30-90 days)

Once the foundation is in place, start digitalising and collecting data:

Implement an EAM system

Choose a system that fits your organisation. Start small: digitalise work orders and planning first. Train your team well — adoption is more important than functionality. A simple system everyone uses works better than a complex one nobody touches.

Start with condition monitoring

Install sensors on your most critical assets. Begin with basic metrics: temperature, vibration, operating hours. You don’t need full predictive maintenance yet. First gather data, recognise patterns, then start predicting.

Measure your performance

Define 3-5 KPIs you’ll track weekly:

  • Mean Time Between Failures (MTBF)
  • First-time-fix rate
  • Maintenance cost per asset
  • Downtime hours due to maintenance
  • Inventory value vs. consumption

These metrics show where you stand and where improvement is possible.

Phase 3: From preventive to predictive (90+ days)

With systems and data in order, you can move toward predictive maintenance:

Analyse historical data

Review failures from the past 12 months. What patterns do you see? Failures are often predictable: always after X operating hours, at certain temperatures, or after specific production batches. These insights are gold.

Develop maintenance strategies per asset

Not every asset deserves the same approach:

  • Critical assets: predictive maintenance with sensors
  • Important assets: preventive maintenance at fixed intervals
  • Standard assets: run-to-failure (replace when broken)

This differentiation saves costs without increasing risk.

Integrate with other systems

Connect your EAM system with ERP, planning, and procurement. Spare parts will be ordered automatically, planning will align with production, and costs will be logged instantly. This integration boosts efficiency by 25–30%.

Sustainability as a bonus

Well-structured maintenance is also sustainable maintenance. Research shows predictive maintenance reduces energy consumption by 10–15%. Well-maintained machines use less energy and last longer.

For organisations with ESG objectives, this is especially valuable. You can accurately report:

  • Energy consumption per asset
  • CO₂ reduction through optimal maintenance
  • Extended equipment lifetime
  • Reuse of components

These metrics are becoming increasingly important for audits, certifications, and customer requirements.

Start today, benefit tomorrow

The shift from reactive to strategic maintenance may seem big, but you don’t have to do everything at once. Start with quick wins that immediately save money. Use those savings to continue investing in digitalisation. Build toward predictive maintenance step by step.

Organisations that follow this roadmap report after just 6 months:

  • 30% fewer urgent jobs
  • 25% higher technician productivity
  • 20% lower inventory costs
  • 15% less unplanned downtime

Best of all? Your team transforms from firefighters into strategic partners. They finally have time to implement improvements, share expertise, and work preventively – leading to better results and greater job satisfaction.

Ready for the next step?

Want to know how this approach translates to your specific situation? Schedule a session with our experts. Together we analyse your current maintenance processes and create a concrete action plan.

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