Your assets have evolved. Has your asset strategy?

Manufacturers are under pressure to get more from every asset, extend equipment life and protect production without driving up cost. 

Complete Asset Lifecycle Management connects the decisions behind asset performance, from investment and operations to maintenance and replacement. 

See how IFS Cloud helps manufacturers make every asset decision count.

Download the guide
A worker wearing a blue helmet and safety glasses operates a control panel in an industrial setting.

Three problems. One expensive consequence

  • Your equipment is outliving the plan

    Assets designed for 20 to 25 years can remain in operation for 30, 35 or even 40. As equipment degrades, unplanned downtime can increase by 40 to 80%, while maintenance costs continue to rise.

  • Your asset data doesn't talk

    Engineering, operations and maintenance can all be working from different information. Changes don't always make it from one system to the next, leaving teams making decisions with incomplete or outdated asset data.

  • Your maintenance calendar can't see the machine

    Two identical assets don't necessarily degrade at the same rate. So why maintain them as if they do? Condition based maintenance uses actual equipment health to determine when intervention is needed, rather than relying on the calendar.

Proven Impact Across the Asset Lifecycle

  • %

    Increased asset uptime

  • %

    Reduced maintenance cost

  • %

    Extended asset lifespan

Your next asset decision shouldn't be an educated guess

IFS Cloud connects investment planning, capital projects, operations, maintenance and asset performance, giving teams a clearer view of what needs attention, where to invest and when to act.

 

Asset condition shapes maintenance decisions. Maintenance history helps guide investment. Production priorities help determine when work should happen.

 

The IFS Cloud Asset Lifecycle Management whitepaper explores how manufacturers can put this connected approach into practice, including how to:

 

  • Prioritize asset investments using operational and financial data
  • Move from calendar based to condition based maintenance
  • Connect engineering, operations and maintenance data
  • Use AI driven analytics to identify degradation earlier
  • Align maintenance work with production requirements

  • Manage assets from investment planning through renewal and retirement

     

Get more from the assets you have and make better decisions about what comes next.