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	<title>machine risk Archives | Tesibis</title>
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	<description>Consulting &#38; Expert Testimony on Lubrication &#38; Oil Analysis</description>
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	<title>machine risk Archives | Tesibis</title>
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		<title>Managing Reliability in Real Time &#8211; The Risk Management Grid (RMG)</title>
		<link>https://tesibis.com/maintenance/2-managing-reliability-in-real-time-the-risk-management-grid-rmg/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Wed, 17 Dec 2025 16:34:44 +0000</pubDate>
				<category><![CDATA[Maintenance]]></category>
		<category><![CDATA[condition severity]]></category>
		<category><![CDATA[criticality analysis]]></category>
		<category><![CDATA[failure modes]]></category>
		<category><![CDATA[failure modes effects analysis]]></category>
		<category><![CDATA[FMEA]]></category>
		<category><![CDATA[machine risk]]></category>
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					<description><![CDATA[<p>In a past article,1 I mentioned that in the world of reliability, risk can be defined as the probability of failure multiplied by the consequence(s) of failure. This simple definition should be a reliability team’s most important daily metric. In this editorial, a two-dimensional matrix is proposed that serves as a real-time moving picture of the health of plant assets (Figure 1).</p>
<p>The post <a href="https://tesibis.com/maintenance/2-managing-reliability-in-real-time-the-risk-management-grid-rmg/">Managing Reliability in Real Time &#8211; The Risk Management Grid (RMG)</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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<p class="wp-block-paragraph">By Jim Fitch<br>Practicing Oil Analysis Magazine</p>



<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="450" height="333" src="https://tesibis.com/wp-content/uploads/2025/12/image-72.png" alt="" class="wp-image-792" srcset="https://tesibis.com/wp-content/uploads/2025/12/image-72.png 450w, https://tesibis.com/wp-content/uploads/2025/12/image-72-300x222.png 300w" sizes="(max-width: 450px) 100vw, 450px" /></figure>



<p class="wp-block-paragraph">In a past article,1 I mentioned that in the world of reliability, risk can be defined as the probability of failure multiplied by the consequence(s) of failure. This simple definition should be a reliability team’s most important daily metric. In this editorial, a two-dimensional matrix is proposed that serves as a real-time moving picture of the health of plant assets (Figure 1).</p>



<p class="wp-block-paragraph">I don’t manage an in-plant machinery reliability team at Noria (we have no machines), but if I did, I would want to see this matrix at the beginning and end of each day. I would want it to serve as my reliability command post in planning and scheduling maintenance work orders and related activities.</p>



<p class="wp-block-paragraph">Let’s call it the Risk Management Grid (RMG) for production assets. Its singular purpose is to characterize composite asset risk factors associated with failure probability and consequence. It provides a revealing cross-sectional view of current reliability conditions and leaves a visible trail of the past to analyze and prescribe future proactive improvement initiatives.</p>



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<div class="wp-block-button is-style-tesibis-outline-blue-blue"><a class="wp-block-button__link wp-element-button" href="https://www.machinerylubrication.com/Read/426/managing-reliability-risk" target="_blank" rel="noreferrer noopener">Read the full article</a></div>
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<p>The post <a href="https://tesibis.com/maintenance/2-managing-reliability-in-real-time-the-risk-management-grid-rmg/">Managing Reliability in Real Time &#8211; The Risk Management Grid (RMG)</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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