Business outcome
Asset availability
A production line is only as available as its weakest asset. IFS teams that manage availability end to end target lower maintenance cost and fewer unplanned stoppages. The gap is mostly a decision process, not a data problem.
Asset availability is what keeps one machine failure from stopping the whole plant.
Why availability slips before anyone sees it
Hundreds of assets aging at once
Replacement backlogs meet finite budgets. The question is no longer whether assets age, but which one gets attention first.
Risk-based prioritisation puts maintenance money where failure hurts most.
Reactive maintenance is the expensive kind
Every unplanned stop costs more than the planned one that would have prevented it. Firefighting crowds out prevention.
Condition-based and predictive maintenance move work from emergency to calendar.
Asset visibility decides the discussion
Without one asset truth, every availability discussion becomes an opinion exchange between maintenance, operations and finance.
One asset record with condition, history and cost ends the debate and starts the plan.
Availability is a chain, not a single tool
Predictive maintenance remains the core instrument, and it works: a sensor threshold, a pattern, an alert before the breakdown. It is also one link in a longer chain. Availability holds when four disciplines connect: asset lifecycle management, operational intelligence, maintenance planning and scheduling, and predictive maintenance itself. IFS Enterprise Asset Management (IFS EAM) keeps the asset record and the work, IFS Asset Lifecycle Management adds the lifecycle view from design to decommissioning, and Operational Intelligence combines ERP, EAM and SCADA data into one digital asset, watched with rules you define: a 38 kW threshold on a drive, and an exceedance becomes an asset event with an automatic anomaly report. In our IFS projects, the plants that connect those four lose far fewer production hours than the ones that bought a predictive pilot.
Institutional knowledge before it walks out the door
One in four maintenance staff in Benelux machine-builders is in the final decade of their career. Every week, knowledge leaves the floor that was never written down: which pump runs hotter than spec, which bearing combination signals trouble before any sensor threshold triggers. IFS Cloud captures the complete asset record and FMECA analysis with IFS Copilot structures failure modes per asset class. The system learns from every intervention. When the people who held that knowledge retire, the organization keeps it.
Whitepaper
AI as the Catalyst: how manufacturers close the loop from alert to action
How predictive AI becomes prescriptive maintenance, and which governance shifts that requires in asset-intensive operations. Written for operations and maintenance leadership.
Planning that stops fighting itself
In most manufacturing organisations, maintenance and production plan in parallel and in conflict. Production wants the machine running. Maintenance wants a window. IFS Cloud integrates both in one system, so maintenance lands in the moments when the line does not need to produce: the Friday changeover, the planned stop you already had. A predictive alert two weeks out becomes scheduled work in such a window, not a Thursday-night breakdown. With Industrial AI the recommendation arrives ready to book: parts availability, technician capacity and the production schedule already weighed. Unplanned downtime costs four to fifteen times the repair itself. A planned window costs a fraction of that.
Trusted by Industry Leaders
Questions before improving asset availability
Asset availability improves when maintenance, production and asset data work from the same plan.
It helps detect risk earlier and prepare the next action, from parts to the planning window. Maintenance and production teams still decide priority, safety and business impact.
Start with the failure patterns that stop production most often: weak asset data, late maintenance windows or poor spare-parts visibility.
IFS Cloud connects maintenance, production planning, parts and asset history, so predictive signals can become scheduled work instead of another dashboard.
Discuss asset availability with Eqeep
If availability is under pressure from aging assets, unplanned downtime, workforce scarcity or data quality, we can help identify the most practical IFS improvement path.
Tell us which assets create the most downtime, cost or risk. We will help you translate that into a practical IFS reliability roadmap.