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This application is designed to capture and generate safe, defensible maintenance procedures using Reliability Centred Maintenance (RCM) methodologies. It aids in developing failure management strategies that support sustainable engineering practices and ensures compliance with safety and regulatory requirements by identifying and mitigating potential risks associated with equipment failures.
The application coupled with RCM, employs a systematic approach to ensure systems perform as required in their current operating context. RCM promotes proactive maintenance strategies, such as predictive and preventive maintenance, to prevent failures before they occur or detect them early.
This application generates Corrective Action Lists (CALs) based on scheduled preventative maintenance to minimise minimise concessions and enhance availability. It screens and stores data to classify items like Spare Gear, Consumables, and Tools.
Additionally, it compiles inventory requirements based on platform deployment length, providing a comprehensive overview of necessary resources. This supports proactive maintenance planning and optimises resource allocation.
Utilising maintenance and sparing data, this application provides an emergent demand picture with up-to-date ARM data for accurate equipment reliability. It details the optimum location of spares and incorporates customer-based variables.
The ESP output can define minimum stock holding and inform obsolescence management, ensuring efficient inventory levels. This supports strategic decision-making by providing insights into equipment reliability and sparing needs.
This application models existing maintenance against preferred operating profiles or optimises solutions, building work packages years in advance for infrastructure and resource planning. Its fleet planning capability allows a multi-platform view.
It also provides a robust structure and governance process for deferral and descoping activities, with workflows processed in seconds. This ensures maintenance planning is efficient and adaptable to changing requirements.
Conducting ARM modelling and simulation for emergent tasks, this application assesses preventative maintenance strategies and identifies system downtime to pinpoint critical assets. It produces iterative update reports on reliability.
Throughout the support period, the application helps ascertain the effort and sparing needed for ESP and TLAM. This comprehensive analysis aids in optimising maintenance strategies and ensuring operational continuity.
Using task information, this application determines perceived loading and resources needed, producing outputs for maintainer loading analysis. It integrates with Xpedite’s software solutions via the Common Data Model (XCDM).
The Maintenance Loading Tool models loading hours from system to platform level, ensuring seamless data flow and accurate resource planning. This integration supports efficient maintenance operations.
Developed by Xpedite to address maintenance requirements and maintainer 'lived experience,' this application recognises personnel challenges and responds to customer requests. It uses live MMS scheduling data.
The application assesses in-service maintenance burden to identify section loading and allows the modelling of solutions. Developed collaboratively, it provides actionable insights to address maintenance challenges.