Intelligent Industrial Operations Outlook 2026
Page 23 of 58 · WEF_Intelligent_Industrial_Operations_Outlook_2026.pdf
Circular asset management THEME 2
Evolutions of themes
Extend asset life and build
adaptive, circular systems that
maximize longevity, reuse and
refurbishment, ensuring
operational continuity.
Asset lifespan
Maintenance cost per assetVisibility into asset lifecycle
— Digital twins map asset health,
energy use and material flows,
providing a unified view of
utilization and degradation.
— These insights guide repair,
refurbishment and resource
allocation decisions.AI-driven circular optimization
— AI optimizes asset lifecycles
by balancing cost, carbon
and reliability.
— Focus remains on maximizing
value from individual assets.
— Predictive analytics guide
repair-vs-replace decisions
and embed recovery
strategies into maintenance
planning.Self-healing, regenerative
asset network
— Self-learning networks enable
closed-loop asset reuse and
refurbishment across plants.
— Systems reallocate
components and resources
to sustain operations during
disruptions.
— Assets become active
participants in resilience,
co-optimizing with their digital
twins to achieve regenerative,
net-zero outcomes.NOW (0-2 years) NEAR (3-5 years) NEXT (5+ years) Objectives
From reactive maintenance to predictive operations in a 138-year-old distilleryMAINTENANCE | CASE STUDY
William Grant & Sons
Challenge Solution Impact
At their Girvan distillery, William
Grant & Sons faced regular
unplanned downtime because
of heavy reliance on reactive
maintenance – 40% of repairs
were mid-emergency, rather
than proactive fixes. The
downtime drained resources
and stifled output.Partnering with IFS Nexus Black,
the distillery put in place an AI-driven
predictive maintenance solution
tailored for complex operations.
The system combines historical asset
data with process flow logic to predict
failures before they happen, assess
downstream impacts and tell the team
what to fix, when and how. Multimodal
intelligence means engineers can
diagnose problems based on audio,
video or vibrations. Continuous
learning from fault reports makes the
operation more resilient for the future.Once in business-as-usual mode,
the distillery estimates:
–Annual savings of £8.4 million at this
one site because of less unplanned
downtime, more first-time fix rates
and a more reliable operation.MAINTENANCE
Intelligent Industrial Operations Outlook 2026
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