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	<title>RCM Archives | Tesibis</title>
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	<description>Consulting &#38; Expert Testimony on Lubrication &#38; Oil Analysis</description>
	<lastBuildDate>Thu, 18 Dec 2025 14:25:12 +0000</lastBuildDate>
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	<title>RCM Archives | Tesibis</title>
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	<item>
		<title>The Wrath of Unscheduled Downtime: Why Oil Analysis is a Wise and Effective Defense</title>
		<link>https://tesibis.com/lubricant-analysis/2-the-wrath-of-unscheduled-downtime-why-oil-analysis-is-a-wise-and-effective-defense/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 15:36:27 +0000</pubDate>
				<category><![CDATA[Lubricant Analysis]]></category>
		<category><![CDATA[condition monitoring]]></category>
		<category><![CDATA[P-F interval]]></category>
		<category><![CDATA[Proactive maintenance]]></category>
		<category><![CDATA[RCM]]></category>
		<guid isPermaLink="false">https://tesibis.com/?p=589</guid>

					<description><![CDATA[<p>There are 8,760 hours in a year. Few plants manage to produce at full capacity for all of those hours. Instead, there are periodic production stoppages due to tooling changes, product changes, scheduled PMs/inspections and unscheduled downtime (reliability issues). Every hour the plant’s assets aren’t utilized is an hour of lost revenue and profits.</p>
<p>The post <a href="https://tesibis.com/lubricant-analysis/2-the-wrath-of-unscheduled-downtime-why-oil-analysis-is-a-wise-and-effective-defense/">The Wrath of Unscheduled Downtime: Why Oil Analysis is a Wise and Effective Defense</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch<br>Machinery Lubrication Magazine</p>



<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="327" height="258" src="https://tesibis.com/wp-content/uploads/2025/12/image-29.png" alt="" class="wp-image-590" srcset="https://tesibis.com/wp-content/uploads/2025/12/image-29.png 327w, https://tesibis.com/wp-content/uploads/2025/12/image-29-300x237.png 300w" sizes="(max-width: 327px) 100vw, 327px" /></figure>



<p class="wp-block-paragraph">There are 8,760 hours in a year. Few plants manage to produce at full capacity for all of those hours. Instead, there are periodic production stoppages due to tooling changes, product changes, scheduled PMs/inspections and unscheduled downtime (reliability issues). Every hour the plant’s assets aren’t utilized is an hour of lost revenue and profits.</p>



<p class="wp-block-paragraph">Sadly, many plant managers play games with the numbers by ignoring the potential controllability of “scheduled” downtime. Yes, tooling and product changes are unavoidable, but in most other circumstances, there are often practical ways to minimize lost production from scheduled shutdowns.</p>



<p class="wp-block-paragraph">This can be seen in the difference between typical and top performers in the same industry. For instance, a standard 900-megawatt coal-fired power plant may produce at 86-percent capacity (44 weeks per year), while top performers can exceed 94 percent (48 weeks per year). This is a difference of four weeks of productivity.</p>



<p class="wp-block-paragraph">Still, no classification of work stoppage causes more agony than unscheduled downtime. The reasons are quite obvious, as a recent online survey of Machinery Lubrication readers discovered. Following is a list of the top reasons unscheduled downtime is so unwelcome:</p>



<ul class="wp-block-list">
<li>Production losses and schedule delays (business interruption)</li>



<li>Lost revenue and profit (unhappy management/ownership)</li>



<li>Promised delivery dates are missed (unhappy customers)</li>



<li>The blame game and damaged relationships between operations and maintenance (morale issues)</li>



<li>Hurried (botched) repairs cause future problems (cycle of despair)</li>



<li>Lack of available replacement parts and skilled trades prolongs the downtime interval</li>



<li>Repairs are at a “cost premium” due to rushed parts purchases, use of overtime labor and collateral damage</li>



<li>Scheduled “proactive” tasks are replaced by chaotic reactive tasks (leads to future problems)</li>



<li>Increased work pressure and job stress (job satisfaction issues)</li>



<li>Safety risks due to rushed work, unskilled work, inferior parts, cutting corners, job stress, etc.</li>
</ul>



<div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex">
<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/29818/unscheduled-downtime-wrath" target="_blank" rel="noreferrer noopener">Read the full article</a></div>
</div>
<p>The post <a href="https://tesibis.com/lubricant-analysis/2-the-wrath-of-unscheduled-downtime-why-oil-analysis-is-a-wise-and-effective-defense/">The Wrath of Unscheduled Downtime: Why Oil Analysis is a Wise and Effective Defense</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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			</item>
		<item>
		<title>A New Look at Criticality Analysis for Machinery Lubrication</title>
		<link>https://tesibis.com/machine-reliability-asset-management/3-a-new-look-at-criticality-analysis-for-machinery-lubrication/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Thu, 18 Dec 2025 14:25:10 +0000</pubDate>
				<category><![CDATA[Machine Reliability & Asset Management]]></category>
		<category><![CDATA[failure modes]]></category>
		<category><![CDATA[FMEA]]></category>
		<category><![CDATA[FMECA]]></category>
		<category><![CDATA[machine criticality]]></category>
		<category><![CDATA[mission criticality]]></category>
		<category><![CDATA[Optimum reference state]]></category>
		<category><![CDATA[RCM]]></category>
		<category><![CDATA[reliability-centered maintenance]]></category>
		<guid isPermaLink="false">https://tesibis.com/?p=1054</guid>

					<description><![CDATA[<p>For any given machine, how critical is its reliability? What if it failed suddenly and catastrophically? What would be the consequences - lost production, expensive repairs, fatality? Criticality is the logical starting point for all reliability initiatives.</p>
<p>The post <a href="https://tesibis.com/machine-reliability-asset-management/3-a-new-look-at-criticality-analysis-for-machinery-lubrication/">A New Look at Criticality Analysis for Machinery Lubrication</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch<br>Machinery Lubrication Magazine</p>



<figure class="wp-block-image size-full"><img decoding="async" width="317" height="178" src="https://tesibis.com/wp-content/uploads/2025/12/image-131.png" alt="" class="wp-image-1055" srcset="https://tesibis.com/wp-content/uploads/2025/12/image-131.png 317w, https://tesibis.com/wp-content/uploads/2025/12/image-131-300x168.png 300w" sizes="(max-width: 317px) 100vw, 317px" /></figure>



<p class="wp-block-paragraph">For any given machine, how critical is its reliability? What if it failed suddenly and catastrophically?</p>



<p class="wp-block-paragraph">What would be the consequences &#8211; lost production, expensive repairs, fatality? Criticality is the logical starting point for all reliability initiatives.</p>



<p class="wp-block-paragraph">There are many different ways to enhance reliability and improve the quality of maintenance. The best options should be risk-based. After all, if it doesn’t reduce risk, why do it? Why spend an incremental dollar to enhance a machine’s reliability if it doesn’t yield multiple dollars in return?</p>



<p class="wp-block-paragraph">There’s also priority. What should be done first, second and third, and what should not be done at all? How do you know which machines return big dollars for enhanced reliability, which machines return marginal dollars and which machines return nothing at all?</p>



<p class="wp-block-paragraph">Once you understand machine criticality and a machine’s risk profile, you can work smarter to customize improvements. For guidance, look to the Pareto principle, which states that 20 percent of the machines cause 80 percent of the reliability problems. Which machines are these?</p>



<p class="wp-block-paragraph">In addition, consider that 20 percent of the causes of failure are responsible for 80 percent of the occurrences of failure. Which causes are these? It’s about precision &#8211; precision maintenance and precision lubrication. It’s also knowing how to make wise, risk-informed choices.</p>



<div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex">
<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/29346/machinery-criticality-analysis" target="_blank" rel="noreferrer noopener">Read the full article</a></div>
</div>
<p>The post <a href="https://tesibis.com/machine-reliability-asset-management/3-a-new-look-at-criticality-analysis-for-machinery-lubrication/">A New Look at Criticality Analysis for Machinery Lubrication</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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