Sustain value

Asset Reliability & Maintenance Management

We turn maintenance into a governed system for reliability and performance.

The Nexum view

Reliability is a system, not an isolated tool.

Sustainable performance emerges when strategy, engineering, work, data, systems and operating behaviors function as one management model.

Risk and strategy

Focus resources according to criticality, failure modes and business consequence.

Work management

Translate strategy into plans, backlog, scheduling, disciplined execution and feedback.

Data and systems

Make SAP PM/CMMS a system for governance, traceability and learning—not just recording.

Modular scope

From asset foundation to sustained improvement.

Work is prioritized around the real problem. A broad assessment or simultaneous deployment of every tool is not mandatory.

Asset strategy and criticality
  • Hierarchy and taxonomy
  • Criticality analysis
  • Policy and standards
  • Strategy segmentation
  • Risk and lifecycle cost
  • Reliability roadmap
  • Governance and roles
RCM, FMEA and strategy optimization
  • Functions and performance standards
  • Failure modes and effects
  • Family-based RCM/FMEA
  • PM optimization
  • Condition-based maintenance
  • Inspection routes
  • Lubrication
  • Job plans and frequencies
RCA, loss elimination and design reliability
  • Bad actors
  • Causal analysis
  • RCA/RCFA
  • Loss elimination
  • Defect management
  • Redesign recommendations
  • Reliability CAPEX
  • Effectiveness follow-up
Planning, scheduling and execution
  • Work identification and prioritization
  • Job planning
  • Weekly scheduling
  • Backlog management
  • Shutdowns and windows
  • Compliance and closeout quality
  • Wrench time and productivity
  • Management routines
SAP PM / CMMS Enablement & Stabilization
  • Functional locations and equipment
  • Master data and catalogs
  • Notifications and work orders
  • Plans and task lists
  • Bills of materials
  • End-to-end processes
  • Roles and authorizations
  • Reporting, governance and adoption
Reliability analytics

Make decisions with uncertainty—not by ignoring it.

When data quality and volume support it, we apply statistical methods to understand failure patterns, estimate risk and evaluate design, maintenance and spare-parts decisions.

The tool is selected for the problem and available data; the central deliverable is a defensible decision, not a software output.

Failure probability Time / usage Early life Useful life Wear-out
Analytics

Weibull and life data

Failure patterns, distribution parameters, characteristic life and survival probability.

Analytics

Repairable systems

Recurrence trends, reliability growth or deterioration and failure-process behavior.

Analytics

RAM and availability

Reliability, availability and maintainability models to identify constraints and test redundancy.

Analytics

MTBF, MTTR and risk

Indicators with intervals, segmentation and context—not isolated averages built on weak data.

Analytics

Spares and policies

Intermittent demand, criticality, lead time, downtime cost and service level.

Analytics

Sensitivity and scenarios

Impact of assumptions, uncertainty and alternatives on performance, cost and decisions.

Typical deliverables

Reliability translated into decisions, standards and executable work.

Deliverables are designed for use in operations and the CMMS—not to remain isolated documents.

01

Asset model and criticality

Hierarchy, taxonomy, criteria, criticality matrix and intervention priorities.

02

Strategies and plans

RCM/FMEA, tasks, frequencies, job plans, routes, spares and design recommendations.

03

Work management system

Planning, scheduling, backlog, shutdowns, roles, routines, indicators and standards.

04

Stabilized SAP PM / CMMS

Master data, catalogs, notifications, work orders, plans, task lists, reporting and governance.

05

Analysis and capability

RCA/RCFA, statistical analytics, recommendations, training and team transfer.

Reliability Operating System™

An architecture to sustain performance.

We connect criticality, strategies, plans, scheduling, execution, feedback, RCA, indicators and governance in a closed loop.

Availabilityfewer avoidable losses and less variability
Costbetter preventive–predictive–corrective mix
Riskdecisions based on consequence and evidence
Capabilityinstalled processes, roles and learning

Where is your operation losing reliability?

An Asset Reliability & Maintenance Diagnostic can focus on failures, strategy, planning, SAP data, organization or a specific critical asset.