000007562 001__ 7562
000007562 005__ 20241024114658.0
000007562 02470 $$2doi$$a10.24868/issn.2515-8198.2019.004
000007562 035__ $$a3381442
000007562 037__ $$aGENERAL
000007562 245__ $$aModelling Fleet Performance over Complex Operating Scenarios
000007562 269__ $$a2019-07-02
000007562 336__ $$aConference Proceedings
000007562 520__ $$aThe Systems Availability Model (SAM) is a program designed to assess the Availability, Reliability and<br>
Maintainability (AR&M) characteristics of multiple systems used over operating scenarios that place varying demands upon those systems, such as that encountered in complex military, commercial shipping, industrial installations and deployed systems of systems.

The unique ability of SAM to overlay system dependencies onto complex mission profiles makes it a uniquely powerful and flexible AR&M modelling tool. Mission profiles are built up from a variety of activities, each demanding use of different combinations of equipment, rather than a fixed time at risk approach adopted by many simpler modelling tools.

This paper and associated presentation discusses:

<ul>
	<li>The unique capabilities of SAM and, at a high level, how a SAM model is developed and its crossindustry applications;</li>
	<li>The use of SAM to set system/equipment requirements, and understand the impact of equipment reliability on a fleet of ships undergoing complex operating scenarios;</li>
	<li>Reflecting changes to mission requirements, and the knock-on effect of predicted performance;</li>
	<li>How SAM can be used to understand the significance of individual systems during safety critical activities (e.g. replenishment at sea, close water navigation).</li>
</ul>
000007562 542__ $$fCC-BY-NC-ND-4.0
000007562 6531_ $$aAvailability
000007562 6531_ $$aReliability
000007562 6531_ $$aMaintainability
000007562 6531_ $$aModelling
000007562 6531_ $$aAsset Management
000007562 7001_ $$aDavison, I$$uPrincipal Consultant, Atkins
000007562 773__ $$tConference Proceedings of MECSS
000007562 773__ $$jMECSS 2019
000007562 789__ $$whttps://zenodo.org/record/3381442$$2URL$$eIsIdenticalTo
000007562 8564_ $$939232071-e437-4e59-af31-048ea424cb2f$$s2053628$$uhttps://library.imarest.org/record/7562/files/MECSS%202019%20Paper%20004%20Davison%20Final%20P.pdf