Nexaan APM — Asset Performance Management for Mining

Industry Pain Points & Core Challenges

The Pain Point: Maintenance Inefficiencies & Disconnected Handoffs in Heavy Industry

Mining operations face severe maintenance inefficiencies, including duplicate work tasks, unoptimized shutdown scopes, and high operational risks. Traditional asset management fails at the handoffs: engineering logic gets lost in manual data entry, free-text work order history goes unanalyzed, and local-only maintenance fixes are rarely scaled across identical fleet assets.

• Disconnected Lifecycles: Disjointed workflows between greenfield strategy setup, CMMS execution, and post failure engineering reviews leading to loss of critical maintenance context.
• Unstructured History & Noise: Years of free text work order records in SAP/Maximo cannot be analyzed systematically to identify true underlying failure causes and recurrence patterns.
• Duplicate & Inconsistent Engineering: Identical equipment across multiple sites maintained differently with no standardized risk or cost basis, creating operational discrepancies.

Strategic Solution & Platform Architecture

The Solution: Governed APM Platform with Unified Data Model

An 11 module governed APM platform built on a single unified data model. Nexaan standardizes corporate risk matrices and component level asset libraries, automatically generates execution ready task bundles, and uses ML models to transform unstructured work order history into actionable strategy updates.

• 01. Configuration & Master Governance — Establishes one corporate risk matrix, standardized rate bases (labor, spares, tools), and catalog rules so sites share identical criteria.
• 02. Asset Library & AI-Drafted RCM — Features a 3-tier classification hierarchy down to maintainable items and parts, utilizing engineer-trained AI models to draft RCM specs.
• 03. Work Order Analyser — Processes years of unstructured free text work order history to map component, failure mechanism, and root cause with confidence scoring.
• 04. PM Optimisation & CMMS Load — Optimizes task intervals on failure evidence, converting approved changes directly into SAP PM or IBM Maximo load sheets.

User Journey & Operations

From Structural Setup to Continuous Self-Improving Strategy

1. 01

   Build & Classify Asset Hierarchy

   Ingest drawings and registers into the Functional Location Builder to establish a standardized asset hierarchy with visible change impact.

2. 02

   Inherit & Tune Strategy

   Link functional locations to master asset classes; inherit pre-built RCM analysis and tune for local operating context.

3. 03

   Bundle & Export to CMMS

   Automatically group tasks into execution ready packages, generate maintenance documents, and export structured load sheets to SAP PM/Maximo.

4. 04

   Analyze Execution & Self-Improve

   Field execution data is ingested by the Work Order Analyser, surfacing failure trends and pushing approved optimizations back into core strategy.

Outcomes & Business Impact

• Reclaimed Engineering Hours

  Eliminates manual data entry and duplicate analysis, shifting engineering time toward high value risk decisions.

• Defensible Board Reporting

  Downtime, availability, and production modeling (RBD/RAM) are backed by auditable engineering evidence.

• Enterprise Knowledge Retention

  Failure logic and strategy corrections accumulate in the client's tenant rather than walking out the door with individual staff.