We are unprepared and ill equipped for the future; new generation workforce versus incumbent workforce; massive shortage of highly skilled trades; the lure of other, more attractive industries; getting Tafes and Uni’s to innovate; what does the right organisation structure look like in the future?

Predictive analytics and PdM; the perfect nexus of condition monitoring sensors, IoT, and predictive algorithms; building a business case; securing leadership support; scoping correctly and piloting projects to demonstrate value; data information security; vendor selection.

We’re overwhelmed in data; we have the data, but we lack insight; challenges with OEM data; data analysts and scientists don’t understand asset management; visibility and visualization; data standards; the cost of decision-making based in inaccurate data.

How to define the value of Asset Management; ROIC (return on invested capital); getting the CFO’s attention; working with consultants and advisors; finding quick wins; lobbying from maintenance teams; using ISO 55000 as a framework; total cost of ownership.

We’re in a workforce crisis; job insecurity due to automation; high job demand and pressure to perform; lack of empathy from leadership; imbalance between effort and reward; ongoing COVID effects; relentless organisational change; erosion of resilience; fly-in, fly-out model needs to change.

We’re not getting the best out of our reliability engineers; process driven vs results orientated; they are asked to be too tactical; leadership do not understand their value; they’re often disconnected and misunderstood; reliability engineering not taught properly at Uni; churn and staff turnover is high.