Asset Management Consulting

Large mining truck carrying rocks on winding road in an open-pit mine with terraced earth layers.
Asset Management
Structure assets, strategy, risk and cost. Analyse operational performance.
Asset Criticality Analysis

Rank assets by consequence, operational importance, failure exposure and business impact. Criticality defines where attention, maintenance effort and investment should be directed.

Asset Hierarchy Structuring

Build or refine asset hierarchies so systems, assets, components and parts are logically arranged. Structure creates the foundation for maintenance, risk, spares and reporting.

Systems Modelling

Map how assets combine to deliver operational function. This exposes dependencies, bottlenecks, redundancy and the consequence of system failure.

Plant Maintenance Optimisation

Review maintenance tasks, frequencies and strategies against asset criticality, failure behaviour and operational context. The outcome is maintenance that is justified, proportionate and executable.

Asset MetaData

Capture and structure the information that gives assets meaning. This includes classifications, nameplate data, locations, documents, BOM links and operational attributes.

Planning Optimisation

Improve how maintenance work is grouped, prioritised, resourced and scheduled. Planning becomes clearer when asset condition, risk, access and operational constraints are visible.

Cost-Benefit Analysis

Compare the cost of action against the cost of inaction. This makes trade-offs visible and supports decisions that can be justified.

Return on Investment Analysis

Quantify the value of asset management improvements through avoided downtime, reduced maintenance waste, improved reliability and clearer capital allocation.

Industries
Applied Risk Governance.
Mission coherence
Every action serves the objective.
Data Discovery Audit
Data collection must occur as a first step. The hardest part of the journey, both in justification and execution. Knowing the what is the first step, before deciding the who, what and when. One cannot optimise what does not exist. One cannot build upon absent foundations.
Use Effective Data
What can be shuffled and showcased now for maximum value. Apply universal filters, data can inherently be useful. Immediate value extraction for effort.
Filter Through Appropriate Context
How can the data be manipulated for maximum value per unit of effort. Analysis based on data and business context. Driven decisions with real world impact.
Appropriately Apply Leverage
Where you are and what is the direction, that dictates the next action. Continual delivery of improvements. Appropriate goals, grounded in the real.

Reality dictates the
appropriate action