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Oil rigRmada has the capability of providing a range of tools and processes which are tailored to support RCM analysis and which allow the interpretation of RCM outputs in a form that is relevant to the user. These tools extend the reach of RCM and enable extra value to be derived from the RCM effort.

Enabling Tools

The RCM process identifies what must be done to any asset to ensure that the user's requirements continue to be met. In general, this means generating outputs that describe what needs to be done, when and by whom (or more specifically, what skills are required).

These outputs need to be compared with available resources to establish what changes are needed to implement an RCM programme effectively. To help with this comparison, Rmada is able to provide a number of enabling tools and processes:

RCM consolidation process

It is commonly, and mistakenly, believed that an RCM analysis must be carried out at the level at which maintenance is carried out; the result of this approach is that the analysis is often much larger than necessary (and therefore takes longer) and is evidenced by a plethora of repeated failure modes. This causes problems for the long-term management of the analysis and of the maintenance tasks.

A business process has been developed that allows such analyses to be consolidated within the support software environment. This process has been successfully validated against a number of RN RCM analyses and is also useful when incorporating legacy maintenance into an otherwise RCM-derived regime.

Manpower Optimisation Support Tool

Whilst Reliablity Centred Maintenance (RCM) will produce a safe, defensible maintenance strategy little attention has been given to deriving the total (or departmental) maintenance manpower loading required to support the strategy.

Understanding the limitations of earlier modelling tools, Rmada has designed and commissioned the Maintenance Optimisation Support Tool (MOST) to support the modelling objectives of the Type 26 Frigate design programme.  The initial concept was to identify the true maintenance loading on the platform's available resources and to mitigate the perceived shortfalls in maintenance capacity manifested by having a proposed smaller Ship's Company than previous classes of Frigates and Destroyers.

Data can be extracted from most Computerised Maintenance Management Systems (CMMS) including the Royal Navy's Upkeep Maintenance Management System (UMMS) or from Excel spreadsheets.  Departmental sections or maintenance teams can be defined without the need to change programme coding and the user is able to configure and save multiple different instances of a configuration which can be revisited and subsequently adjusted.

The manpower requirement (loading) is shown in a graphic display and reports, based on the setting selected for each configuration, can be created  in PDF format.  These reports include any assumptions recorded when building the configuration.

MOST will identify the spares requirement for a platform if the information is available within the dataset.

Spares prediction process

Rmada has a business process for predicting the spares requirement to support an RCM-derived maintenance strategy. The process has been successfully deployed on a number of military assets where electronic systems predominate. These studies have all identified potential for improvements in operational availability at reduced cost.

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