PREDICTIVE MAINTENANCE FOR EQUIPMENT LIFECYCLE MANAGEMENT

Equipment is replaced on schedules or after failures — both waste money. Health data that could time replacement precisely goes uncollected, so lifecycles are guessed.

Actors

  • Maintenance Manager
  • Asset Manager
  • Head of Infrastructure

Systems / Vendors

  • Schneider EcoStruxure
  • SAP PM
  • IBM Maximo

Business Question

"We replace equipment either too early by calendar or too late by breakdown — what would it be worth to time it right?"

What SPoG Does

  • Monitors equipment health and performance indicators continuously across the estate.
  • Predicts failures before they occur, with lead time for planned replacement.
  • Extends asset lifecycles safely by replacing on condition, not calendar.

Outcome Metrics

−40%

Unplanned equipment failures

+20%

Asset lifecycle extension

6–8 wks

To first prediction model