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ERP · Reliability-Centred Maintenance at Enterprise Scale

Extended Maintenance

An advanced maintenance and reliability platform extending core CMMS with RCM analysis, predictive maintenance AI, shutdown planning, and integrated maintenance engineering tools.
Extended Maintenance
Extended Maintenance — screen 1

Overview

Reliability-Centred Maintenance at Enterprise Scale

Business Suite Extended Maintenance takes asset reliability to enterprise-grade levels with reliability-centred maintenance methodology, predictive maintenance powered by Cortex AI and IoT data, major shutdown and turnaround planning, and integrated maintenance engineering tools. Designed for asset-intensive industries where equipment reliability is a strategic imperative.

Strategic value

In industries where a single equipment failure can halt production for days, risk a safety incident, or trigger a regulatory response, maintenance is not a support function — it is a strategic discipline that directly determines whether the organisation can deliver on its core purpose. Refineries, power stations, mining operations, and chemical plants invest billions in physical assets whose productive life and reliability are governed by the quality of the maintenance programme. Extended Maintenance provides the analytical depth and engineering rigour these environments demand. Reliability-centred maintenance methodology is the intellectual framework that transforms maintenance from a cost management exercise into an engineering discipline. RCM analysis identifies the failure modes that actually matter — those with safety, environmental, production, or cost consequences — and selects the most cost-effective maintenance strategy for each. The result is a maintenance programme where every task has a defined purpose and a demonstrated link to a real failure consequence. Over-maintained equipment is left to run more efficiently; under-maintained equipment with real failure consequences receives appropriate attention. Total maintenance cost falls while reliability improves. Predictive maintenance powered by Cortex AI and IoT sensor data fusion is the technology layer that brings RCM strategy to life in real time. Equipment health scores derived from vibration analysis, thermal imaging, oil chemistry, and process parameters are continuously updated and acted upon automatically when thresholds are breached. Failures that previously manifested as unexpected shutdowns are now predicted days or weeks in advance, enabling planned interventions during scheduled windows that minimise production impact. Major shutdown and turnaround management is where Extended Maintenance delivers concentrated, high-stakes value. In asset-intensive industries, major shutdowns represent the single largest concentrated cost event in the operational calendar — often costing tens of millions of pounds over a period of days or weeks. Optimised critical path scheduling, resource levelling, contractor coordination, and real-time progress tracking against the planned scope are the disciplines that determine whether a shutdown comes in on time and on budget or overruns significantly. Extended Maintenance provides the planning infrastructure to give shutdown teams the best possible chance of success.

Capabilities

Everything it does, out of the box.

Reliability-Centred Maintenance

Full RCM analysis workflow with failure mode identification, criticality ranking, and task selection.

Predictive Maintenance AI

Cortex AI and IoT data fusion for real-time equipment health scoring and failure prediction.

Shutdown & Turnaround Planning

Major shutdown planning with critical path scheduling, resource levelling, and cost tracking.

Maintenance Engineering

FMEA, RCFA, and RBI tools for maintenance strategy development and optimisation.

Condition Monitoring

Vibration, thermography, oil analysis, and ultrasound data integration for condition-based decisions.

Spare Parts Optimisation

Criticality-based spare parts stocking with EOQ calculation and supplier lead time management.

Maintenance KPI Suite

Advanced reliability metrics: MTBF, MTTR, availability, reliability, and maintenance cost indices.

Regulatory Compliance

Inspection and certification management for statutory equipment (pressure vessels, lifting gear, etc.).

Live product

Extended Maintenance
Extended Maintenance — screen 2

Specifications

Methodology
RCM, RBI, FMEA, RCFA
Predictive AI
ML-based health scoring via Cortex AI
Condition Data
Vibration, thermal, oil analysis, ultrasound
Shutdown Planning
CPM/PERT with resource levelling
Industries
Oil & Gas, Petrochemical, Power, Mining
Standards
ISO 55000, PAS 55, IEC 60300

Use cases

Where it creates value.

  1. 01Refinery and petrochemical plant turnaround management
  2. 02Power station outage planning and execution
  3. 03Mining equipment reliability programme management
  4. 04Offshore platform maintenance engineering
  5. 05Pharmaceutical equipment qualification management
  6. 06Critical infrastructure reliability programme

Benefits

Equipment AvailabilityRCM-based strategies and predictive AI maximise asset availability.
15% availability increase
Maintenance CostRight-sized maintenance strategies eliminate unnecessary PM tasks.
35% cost optimisation
Shutdown DurationOptimised shutdown planning reduces turnaround duration and cost.
20% shorter shutdowns

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