Stuart Fergusson's guest appearances

Stuart Fergusson

Rooted in Reliability: The Plant Performance Podcast

Maintenance Disrupted

Zen and the Art of Manufacturing

Alan Ross

Jeff Shiver

Simon Jagers

Paul Daoust

Suzane Greeman

Doug Waetjen

Ricky Smith

Doug Plucknette

Adrian Messer

Sanya Mathura

Jesus Sifonte

Blair Fraser

John Reeve

Ryan Chan

Bernd Seidenthal

OwlTail

Frank Emery

255 – Forecasting the Future with Frank Emery &amp; Stuart Fergusson Welcome Stewart and Frank to the podcast. Briefly tell us about yourselves Stewart has a background in Big Data and Applied Mathematics and currently specializes in AI at Fiix. Frank on the other hand has a background in manufacturing of consumer products. In this episode, we covered:    Our topic of discussion today is around AI and its functionality in forecasting the future and how it helps maintenance professions. Tell us about AI. AI is basically defined as an algorithm or a series of algorithms that learn and configure themselves based on past activities to predict future behavior patterns.   Why should maintenance professionals care about AI? The unconventional but appropriate response is that they shouldn't. AI should be thought of as just another tool which must be evaluated based purely on its functionality. Its adoption should be assessed while looking at the contribution it makes towards the targeted efficiencies.   Will AI make people lose their jobs? Negative. If anything, AI is meant to aid professionals in doing their jobs in a better way than they would without it. It assists them in identifying problems much faster and eliminating extended downtime.   What makes a well-rounded AI?  A well-rounded AI is defined by the goals that your organization intends to achieve. It is therefore essential to determine what these goals are before obtaining AI. The tool exists to support the maintenance programs or identify points of asset failure.   Where does all the data used in AI come from? The data is often obtained from the CMMS already installed. Once you have defined the aspects of operations you want to monitor, the data will be obtained from the tools and systems that you already have.   The data obtained from the tools and systems in place is often inaccurate. How do you deal with this? The accuracy of data can be suspect but still be useful. If the data is fed into the AI it can show what is being measured and assist in rectifications. You can improve the quality of the data by perhaps populating more fields to obtain more granulated information from the AI. However, the key is to determine your goal, the tools being used and the accuracy needed.   How much data do we need to use AI models? The focus should be ensuring that even if the data is a lot, it ought to be the right set of data.  For instance, if you have a data set about a PLC's performance and another on task scheduling all mixed together, then it will unnecessarily bog down the system without giving data that the AI can optimize.   How do we select what to monitor? AI looks for anomalies and feeds from sensors to statistically determine which one has too much noise. Clients can also provide contacts for OEMs whom are contacted to help in identifying the sensors to select in an asset.   What are the benefits of AI at the shop floor? AI has significantly contributed in identifying problems much faster so that maintenance engineers can fix them without extended downtime. The tool also exposes points of highest risk and work order anomalies in perhaps planning the PMs.   Where does one get an AI? There are a lot of AI software out there. We highly recommend that you do not build one for you own use because it becomes too complex. However, use your problems in searching for a tool that can specifically address them.   What are the successes in AI application? AI has significantly assisted in flagging work orders. It helped a company in identifying gaps in the work order that ended up saving the entire asset and preventing downtime.   Where can those seeking AI get started? Chances are that the CMMS you have in place already have an AI option. However, in looking for another one, you have to be specific on what this tool should improve. The amount of information that it gives should also be easily consumed- AI should not create unnecessary work. It should make the process much easier.   What makes the biggest difference? The biggest difference is in specifically defining the desired outcomes. This will help in seeking proof of concept and measure results.   Key Takeaway Do not complicate the acquisition of an AI. It is intended to make things simpler than they already are. If it is too complicated, then it is the wrong tool for your process.   Eruditio Links:  Eruditio HP Reliability James Kovacevic's LinkedIn Reliability Report  Frank Emery &amp; Stuart Fergusson Links:  Using WO Data in a Well Rounded PdM Strategy with Frank Emery Fiixsoftware.com Frank Emery Linkedin Stuart Fergusson Linkedin  Download RSS iTunesStitcher   Rooted In Reliability podcast is a proud member of Reliability.fm network. We encourage you to please rate and review this podcast on iTunes and Stitcher. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post 255 – Forecasting the Future with Frank Emery &amp; Stuart Fergusson appeared first on Accendo Reliability.

<h1>255 – Forecasting the Future with Frank Emery &amp; Stuart Fergusson</h1> Welcome Stewart and Frank to the podcast. Briefly tell us about yourselves Stewart has a background in Big Data and Applied Mathematics and currently specializes in AI at Fiix. Frank on the other hand has a background in manufacturing of consumer products. In this episode, we covered: Our topic of discussion today is around AI and its functionality in forecasting the future and how it helps maintenance professions. Tell us about AI. AI is basically defined as an algorithm or a series of algorithms that learn and configure themselves based on past activities to predict future behavior patterns. Why should maintenance professionals care about AI? The unconventional but appropriate response is that they shouldn't. AI should be thought of as just another tool which must be evaluated based purely on its functionality. Its adoption should be assessed while looking at the contribution it makes towards the targeted efficiencies. Will AI make people lose their jobs? Negative. If anything, AI is meant to aid professionals in doing their jobs in a better way than they would without it. It assists them in identifying problems much faster and eliminating extended downtime. What makes a well-rounded AI? A well-rounded AI is defined by the goals that your organization intends to achieve. It is therefore essential to determine what these goals are before obtaining AI. The tool exists to support the maintenance programs or identify points of asset failure. Where does all the data used in AI come from? The data is often obtained from the CMMS already installed. Once you have defined the aspects of operations you want to monitor, the data will be obtained from the tools and systems that you already have. The data obtained from the tools and systems in place is often inaccurate. How do you deal with this? The accuracy of data can be suspect but still be useful. If the data is fed into the AI it can show what is being measured and assist in rectifications. You can improve the quality of the data by perhaps populating more fields to obtain more granulated information from the AI. However, the key is to determine your goal, the tools being used and the accuracy needed. How much data do we need to use AI models? The focus should be ensuring that even if the data is a lot, it ought to be the right set of data.  For instance, if you have a data set about a PLC's performance and another on task scheduling all mixed together, then it will unnecessarily bog down the system without giving data that the AI can optimize. How do we select what to monitor? AI looks for anomalies and feeds from sensors to statistically determine which one has too much noise. Clients can also provide contacts for OEMs whom are contacted to help in identifying the sensors to select in an asset. What are the benefits of AI at the shop floor? AI has significantly contributed in identifying problems much faster so that maintenance engineers can fix them without extended downtime. The tool also exposes points of highest risk and work order anomalies in perhaps planning the PMs. Where does one get an AI? There are a lot of AI software out there. We highly recommend that you do not build one for you own use because it becomes too complex. However, use your problems in searching for a tool that can specifically address them. What are the successes in AI application? AI has significantly assisted in flagging work orders. It helped a company in identifying gaps in the work order that ended up saving the entire asset and preventing downtime. Where can those seeking AI get started? Chances are that the CMMS you have in place already have an AI option. However, in looking for another one, you have to be specific on what this tool should improve. The amount of information that it gives should also be easily consumed- AI should not create unnecessary work. It should make the process much easier. What makes the biggest difference? The biggest difference is in specifically defining the desired outcomes. This will help in seeking proof of concept and measure results. Key Takeaway Do not complicate the acquisition of an AI. It is intended to make things simpler than they already are. If it is too complicated, then it is the wrong tool for your process. Eruditio Links: <ul> <li><a href="http://eruditio.com/" rel="noopener noreferrer nofollow" target="_blank">Eruditio</a></li> <li><a href="https://hpreliability.com/" rel="noopener noreferrer nofollow" target="_blank">HP Reliability</a></li> <li><a href="https://www.linkedin.com/in/jameskovacevic" rel="noopener noreferrer nofollow" target="_blank">James Kovacevic's LinkedIn</a></li> <li><a href="https://www.youtube.com/channel/UC88Nfs79n-wN6Io86SQ9B0g" rel="noopener noreferrer nofollow" target="_blank">Reliability Report</a></li> </ul> Frank Emery &amp; Stuart Fergusson Links: <ul> <li><a href="https://accendoreliability.com/podcast/rir/253-using-wo-data-well-rounded-pdm-strategy-frank-emery/" rel="noopener noreferrer nofollow" target="_blank">Using WO Data in a Well Rounded PdM Strategy with Frank Emery</a></li> <li><a href="http://fiixsoftware.com/" rel="noreferrer nofollow noopener" target="_blank">Fiixsoftware.com</a></li> <li><a href="https://ca.linkedin.com/in/francis-emery-b835523b" rel="nofollow" target="_blank">Frank Emery Linkedin</a></li> <li><a href="https://www.linkedin.com/in/stuart-fergusson-711ba8165/" rel="noopener noreferrer nofollow" target="_blank">Stuart Fergusson Linkedin</a></li> </ul> <a href="http://episodes.reliability.fm/rir/rir-s01-e255-forecasting-the-future-with-frank-emery-and-stuart-ferguson.mp3" rel="noopener noreferrer nofollow" target="_blank">Download</a> <a href="https://accendoreliability.com/series/rir/feed/" rel="noopener noreferrer nofollow" target="_blank">RSS</a> <a href="https://itunes.apple.com/ca/podcast/rooted-in-reliability/id1122844720" rel="noopener noreferrer nofollow" target="_blank">iTunes</a><a href="http://www.stitcher.com/s?fid=92320&amp;refid=stpr" rel="noopener noreferrer nofollow" target="_blank">Stitcher</a> Rooted In Reliability podcast is a proud member of <a href="https://accendoreliability.com/reliability-fm/" rel="noopener noreferrer nofollow" target="_blank">Reliability.fm</a> network. We encourage you to please rate and review this podcast on <a href="https://itunes.apple.com/ca/podcast/rooted-in-reliability/id1122844720" rel="noopener noreferrer nofollow" target="_blank">iTunes </a>and <a href="http://www.stitcher.com/s?fid=92320&amp;refid=stpr" rel="noopener noreferrer nofollow" target="_blank">Stitcher</a>. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post <a href="https://accendoreliability.com/podcast/the-reliability-fm-network/255-forecasting-the-future-with-frank-emery-stuart-fergusson/" rel="nofollow" target="_blank">255 – Forecasting the Future with Frank Emery &amp; Stuart Fergusson</a> appeared first on <a href="https://accendoreliability.com" rel="nofollow" target="_blank">Accendo Reliability</a>.

255 - Forecasting the Future with Frank Emery & Stuart Fergusson

Part 2 of Stuart's podcast episode dives into the maintenance metrics that you need to care about, getting operators onboard with maintenance goals, daily meetings involving the entire plant, and working together as a team.  "We're all in this together, and how are we going to get back up and running?," Stuart asks. Essentially, the main idea behind the 2nd half of a "Healthy Maintenance Culture" is communication. If a machine goes down, it's affecting both production and maintenance, and as such, what can be done to get that machine back up and running?  Dive into the details of a healthy culture in the plant, going beyond just maintenance in this episode.  Stuart Fergusson is the Director of Solutions Engineering at Fiix Software, a Rockwell Automation company. If you would like to get in touch with Stuart, he can be contacted through his LinkedIn.  Enjoy this podcast? Hit the share button, subscribe for free if you're not already a regular listener, and give us a quick review on Apple Podcasts or wherever you get your podcasts. Help us create calm and improve flow in manufacturing!

Part 2 of Stuart's podcast episode dives into the maintenance metrics that you need to care about, getting operators onboard with maintenance goals, daily meetings involving the entire plant, and working together as a team.  "We're all in this together, and how are we going to get back up and running?," Stuart asks. Essentially, the main idea behind the 2nd half of a "Healthy Maintenance Culture" is communication. If a machine goes down, it's affecting both production and maintenance, and as such, what can be done to get that machine back up and running?  Dive into the details of a healthy culture in the plant, going beyond just maintenance in this episode.  Stuart Fergusson is the Director of Solutions Engineering at <a href="https://www.fiixsoftware.com/" rel="nofollow" target="_blank">Fiix Software,</a> a Rockwell Automation company. If you would like to get in touch with Stuart, he can be contacted through <a>his LinkedIn</a>.  Enjoy this podcast? Hit the share button, subscribe for free if you're not already a regular listener, and <a href="https://podcasts.apple.com/us/podcast/zen-and-the-art-of-manufacturing/id1539320473" rel="nofollow" target="_blank">give us a quick review on Apple Podcasts</a> or wherever you get your podcasts. Help us create calm and improve flow in manufacturing!

Maintenance Team Communication Essentials w/ Stuart Fergusson

What is a healthy maintenance culture? Surprisingly, it doesn't include just maintenance. In this episode of Zen and the Art of Manufacturing, Bryan Sapot sits down with Stuart Fergusson, Director of Solutions Engineering at Fiix Software to talk about measuring the right metrics, involving everyone in the plant with maintenance activities, and listening to your people.  No, not everyone is doing the maintenance, but everyone in the plant should care and understand what is going on. Stuart Fergusson explains how an innovative approach to maintenance is simply, a good culture.  "The first step is the embodiment of the idea that maintenance is everybody's problem. People care about maintenance activity and they care about what's happening. What are you celebrating? What are your wins? Instead of the 'us versus them' mentality." In examples of unhealthy cultures, the first thing to stop is finger-pointing. But, how? Where does a healthy maintenance culture start? Tune in to find out.  Enjoy this podcast? Hit the share button, subscribe for free if you're not already a regular listener, and give us a quick review on Apple Podcasts or wherever you get your podcasts. Help us create calm and improve flow in manufacturing!

What is a healthy maintenance culture? Surprisingly, it doesn't include just maintenance. In this episode of Zen and the Art of Manufacturing, Bryan Sapot sits down with <a href="https://www.linkedin.com/in/stuart-fergusson-711ba8165/" rel="nofollow" target="_blank">Stuart Fergusson, Director of Solutions Engineering</a> at <a href="https://www.fiixsoftware.com/" rel="nofollow" target="_blank">Fiix Software</a> to talk about measuring the right metrics, involving everyone in the plant with maintenance activities, and listening to your people.  No, not everyone is doing the maintenance, but everyone in the plant should care and understand what is going on. Stuart Fergusson explains how an innovative approach to maintenance is simply, a good culture.  "The first step is the embodiment of the idea that maintenance is everybody's problem. People care about maintenance activity and they care about what's happening. What are you celebrating? What are your wins? Instead of the 'us versus them' mentality." In examples of unhealthy cultures, the first thing to stop is finger-pointing. But, how? Where does a healthy maintenance culture start? Tune in to find out.  Enjoy this podcast? Hit the share button, subscribe for free if you're not already a regular listener, and <a href="https://podcasts.apple.com/us/podcast/zen-and-the-art-of-manufacturing/id1539320473" rel="nofollow" target="_blank">give us a quick review on Apple Podcasts</a> or wherever you get your podcasts. Help us create calm and improve flow in manufacturing!

Healthy Maintenance Culture w/ Stuart Fergusson

On this week's episode, I welcome Stuart Fergusson from Fiix Software to talk about CMMS integration.  We discuss what other software or data sources should be connected and how to get started. I'm hoping to outsource some of the editing and administrative work that comes with producing content in 2020 so you will be hearing some advertising on this podcast.  If you're company sells products or services to engaged maintenance &amp; reliability professionals, tell your marketing manager about Rob's Reliability Project.  If you'd like to discuss advertising, please email me at robsreliabilityproject@gmail.com If you haven't yet, check out my website robsreliability.com and sign up for the weekly reliability newsletter with bonus content.  If you like the show, please tell your colleagues about it and follow Rob's Reliability Project on LinkedIn and YouTube. Finally, if there are any topics, guests you'd like to hear from, questions you want answered, or if you'd like to appear on the podcast, email me at robsreliabilityproject@gmail.com Check out Fiix Software - https://www.fiixsoftware.com/ Follow Stuart Fergusson on LinkedIn - https://www.linkedin.com/in/stuart-fergusson-711ba8165/ Follow Rob's Reliability Project on LinkedIn - https://www.linkedin.com/company/robsreliabilityproject/ Follow Rob's Reliability Project on Facebook - https://www.facebook.com/robsreliabilityproject/ Music by XTaKeRuX, Song: White Crow is licensed under a Creative Commons 4.0 Attribution License.

On this week's episode, I welcome Stuart Fergusson from Fiix Software to talk about CMMS integration.  We discuss what other software or data sources should be connected and how to get started. I'm hoping to outsource some of the editing and administrative work that comes with producing content in 2020 so you will be hearing some advertising on this podcast.  If you're company sells products or services to engaged maintenance &amp; reliability professionals, tell your marketing manager about Rob's Reliability Project.  If you'd like to discuss advertising, please email me at <a href="mailto:robsreliabilityproject@gmail.com">robsreliabilityproject@gmail.com</a> If you haven't yet, check out my website <a href="http://robsreliability.com/" rel="nofollow" target="_blank">robsreliability.com</a> and sign up for the weekly reliability newsletter with bonus content.  If you like the show, please tell your colleagues about it and follow Rob's Reliability Project on LinkedIn and YouTube. Finally, if there are any topics, guests you'd like to hear from, questions you want answered, or if you'd like to appear on the podcast, email me at <a href="mailto:robsreliabilityproject@gmail.com">robsreliabilityproject@gmail.com</a> Check out Fiix Software - <a href="https://www.fiixsoftware.com/" rel="nofollow" target="_blank">https://www.fiixsoftware.com/</a> Follow Stuart Fergusson on LinkedIn - <a href="https://www.linkedin.com/in/stuart-fergusson-711ba8165/" rel="nofollow" target="_blank">https://www.linkedin.com/in/stuart-fergusson-711ba8165/</a> Follow Rob's Reliability Project on LinkedIn - <a href="https://www.linkedin.com/company/robsreliabilityproject/" rel="nofollow" target="_blank">https://www.linkedin.com/company/robsreliabilityproject/</a> Follow Rob's Reliability Project on Facebook - <a href="https://www.facebook.com/robsreliabilityproject/" rel="nofollow" target="_blank">https://www.facebook.com/robsreliabilityproject/</a> Music by <a href="https://twitter.com/xtakerux_music?lang=en" rel="cc:attributionURL nofollow" target="_blank">XTaKeRuX</a>, Song: White Crow is licensed under a Creative Commons 4.0 <a href="http://creativecommons.org/licenses/by/4.0/" rel="license nofollow" target="_blank">Attribution License</a>.

CMMS Integration with Stuart Fergusson

Maintenance Metrics with Stuart Fergusson Maintenance metrics is a very important part of a maintenance and reliability program because you can t improve what you can t measure. Performance measurement is necessary to derive those improvements that will help you carry out your maintenance activities the best way possible. It is a cycle that can be divided into three steps. First you have to enable you team members, then you have to train them, and in the end you have to measure their performance on a consistent basis using some standard KIPs. It is repetitive process and you have to perform these three steps often to make sure everything is going according to the plan. In this episode, we covered:  What steps to take? The differance between KPIs and metrics! Where to start! And much more!   The difference between metrics and KPIs is that metrics is something every organization has and once they have achieved their targets using that metrics, it becomes a key performance indicator for them. There are two types of KPIs; lagging and the leading. Lagging KPIs such a breakdown are the KPIs you can t directly influence, so you need leading KPIs for them. If there are often breakdowns in your assets, you can reduce them by making sure that your routine PM compliance is done more efficiently and effectively at all times. That s how the improved PM compliance will become a leading KPI for the organization. When you are on top of your leading metrics, you can find ways to improve your, lagging metrics. Before you go about coaching and measuring, you need to understand what s critical and what s not. You can t make everything a KPI. To successfully establish meaningful KPIs, the plant leadership should get together, come up with what they think would make a difference in deriving improvements, and then make sure that those KPIs are drilled down in every relevant department. The people responsible for those KPIs should be enabled to make smart decisions based on actionable intelligence. Now that you have established a metrics, you will have to track those KPIs. You will have to make sure that you input clean data into your system and get good throughput from it. Data quality impacts KPIs and KPIs help you derive that balance in the measurement and management. You can smartly use both leading and lagging KPIs to hit consistent performance goals, you just have to keep an eye out for these and make sure that you are always on top of things to avoid any sudden health issues with your metrics and the system itself. The maintenance and operations team need to work together with the management to derive those day to day best practice to achieve the organizational goals. The targets can vary but whatever the target may be, you always define it at the top and then drill it down to the bottom level of the organization. The productivity of the planned KPIs depends on the organizational goal alignment. You can use CMMS to actively track and derive data to make informed, intelligent decisions. You just need to enable your team members and make sure that everyone is working towards a common goal.   Eruditio Links:  Eruditio HP Reliability James Kovacevic s LinkedIn Reliability Report  Stuart Fergusson Links:  Stuart Fergusson LinkedIn Fiixsoftware.com Smart Factory Summit M&amp;R Best Practices by Ramesh Gulati  Download RSS iTunesStitcher Rooted In Reliability podcast is a proud member of Reliability.fm network. We encourage you to please rate and review this podcast on iTunes and Stitcher. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post 159 Maintenance Metrics with Stuart Fergusson appeared first on Accendo Reliability.

<h1>Maintenance Metrics with Stuart Fergusson</h1> Maintenance metrics is a very important part of a maintenance and reliability program because you can t improve what you can t measure. Performance measurement is necessary to derive those improvements that will help you carry out your maintenance activities the best way possible. It is a cycle that can be divided into three steps. First you have to enable you team members, then you have to train them, and in the end you have to measure their performance on a consistent basis using some standard KIPs. It is repetitive process and you have to perform these three steps often to make sure everything is going according to the plan. In this episode, we covered: <ul> <li>What steps to take?</li> <li>The differance between KPIs and metrics!</li> <li>Where to start!</li> <li>And much more!</li> </ul> The difference between metrics and KPIs is that metrics is something every organization has and once they have achieved their targets using that metrics, it becomes a key performance indicator for them. There are two types of KPIs; lagging and the leading. Lagging KPIs such a breakdown are the KPIs you can t directly influence, so you need leading KPIs for them. If there are often breakdowns in your assets, you can reduce them by making sure that your routine PM compliance is done more efficiently and effectively at all times. That s how the improved PM compliance will become a leading KPI for the organization. When you are on top of your leading metrics, you can find ways to improve your, lagging metrics. Before you go about coaching and measuring, you need to understand what s critical and what s not. You can t make everything a KPI. To successfully establish meaningful KPIs, the plant leadership should get together, come up with what they think would make a difference in deriving improvements, and then make sure that those KPIs are drilled down in every relevant department. The people responsible for those KPIs should be enabled to make smart decisions based on actionable intelligence. Now that you have established a metrics, you will have to track those KPIs. You will have to make sure that you input clean data into your system and get good throughput from it. Data quality impacts KPIs and KPIs help you derive that balance in the measurement and management. You can smartly use both leading and lagging KPIs to hit consistent performance goals, you just have to keep an eye out for these and make sure that you are always on top of things to avoid any sudden health issues with your metrics and the system itself. The maintenance and operations team need to work together with the management to derive those day to day best practice to achieve the organizational goals. The targets can vary but whatever the target may be, you always define it at the top and then drill it down to the bottom level of the organization. The productivity of the planned KPIs depends on the organizational goal alignment. You can use CMMS to actively track and derive data to make informed, intelligent decisions. You just need to enable your team members and make sure that everyone is working towards a common goal. Eruditio Links: <ul> <li><a href="http://eruditio.com/" rel="noopener nofollow" target="_blank">Eruditio</a></li> <li><a href="https://hpreliability.com/" rel="noopener nofollow" target="_blank">HP Reliability</a></li> <li><a href="https://www.linkedin.com/in/jameskovacevic" rel="noopener nofollow" target="_blank">James Kovacevic s LinkedIn</a></li> <li><a href="https://www.youtube.com/channel/UC88Nfs79n-wN6Io86SQ9B0g" rel="noopener nofollow" target="_blank">Reliability Report</a></li> </ul> Stuart Fergusson Links: <ul> <li><a href="https://www.linkedin.com/in/stuart-fergusson-711ba8165/" rel="nofollow" target="_blank">Stuart Fergusson LinkedIn</a></li> <li><a href="http://fiixsoftware.com/" rel="noreferrer nofollow noopener" target="_blank">Fiixsoftware.com</a></li> <li><a href="https://www.smartfactorysummit.com/" rel="nofollow" target="_blank">Smart Factory Summit</a></li> <li><a href="https://www.amazon.com/Maintenance-Best-Practices-Ramesh-Gulati/dp/0831134348" rel="nofollow" target="_blank">M&amp;R Best Practices by Ramesh Gulati</a></li> </ul> <a href="http://episodes.reliability.fm/rir/rir-s01-e159-maintenance-metrics-with-stuart-fergusson.mp3" rel="noopener nofollow" target="_blank">Download</a> <a href="https://accendoreliability.com/series/rir/feed/" rel="noopener nofollow" target="_blank">RSS</a> <a href="https://itunes.apple.com/ca/podcast/rooted-in-reliability/id1122844720" rel="noopener nofollow" target="_blank">iTunes</a><a href="http://www.stitcher.com/s?fid=92320&amp;refid=stpr" rel="noopener nofollow" target="_blank">Stitcher</a> Rooted In Reliability podcast is a proud member of <a href="https://accendoreliability.com/reliability-fm/" rel="noopener nofollow" target="_blank">Reliability.fm</a> network. We encourage you to please rate and review this podcast on <a href="https://itunes.apple.com/ca/podcast/rooted-in-reliability/id1122844720" rel="noopener nofollow" target="_blank">iTunes </a>and <a href="http://www.stitcher.com/s?fid=92320&amp;refid=stpr" rel="noopener nofollow" target="_blank">Stitcher</a>. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post <a href="https://accendoreliability.com/podcast/rir/maintenance-metrics-with-stuart-fergusson/" rel="nofollow" target="_blank">159 Maintenance Metrics with Stuart Fergusson</a> appeared first on <a href="https://accendoreliability.com" rel="nofollow" target="_blank">Accendo Reliability</a>.