Effective Techniques for Assessing Plant Equipment Criticality

Question:

What are the most effective techniques for assessing the criticality of plant equipment? Some companies rely on stakeholder experience, while others utilize Reliability Software or follow an RCM approach. What method do you prefer? Please provide specific details. Thank you. - Terry O

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In our equipment rating system, we evaluate each piece of equipment based on its Criticality level, ranging from 1 to 5. A rating of 5 indicates the highest level of Criticality with no redundancy, while a rating of 1 means there is no Criticality rating assigned. For example, a piece of equipment crucial to operations without an onsite replacement would receive a Criticality rating of 5, whereas one with a replacement onsite would receive a rating of 4. This classification system helps us prioritize maintenance and planning efforts effectively. Alan Daykin, Maintenance Planner at Wastech Services.

Utilizing RCM-Turbo is essential for assessing individual equipment and devising a maintenance strategy. However, with a large number of equipment pieces, implementing RCM on a mill-wide scale is impractical. To streamline the process, equipment must be ranked based on a quicker method. RCM-Turbo categorizes equipment into groups of 4, with 1-4 considered critical, 5-8 as medium criticality, 9-12 as low criticality, and 13-16 as non-critical. As our program progresses, we are increasingly relying on stakeholder expertise. It may take time to shift this mindset, but a simple and efficient approach involves utilizing stakeholders for their specific areas rather than a mill-wide assessment. Collaborating with stakeholders from different areas allows a Reliability Engineer to compile a comprehensive understanding of equipment criticality. This information serves as a solid foundation for further analysis. Starting with the highest critical equipment, conducting RCM analysis and gradually working towards the desired level of criticality is a straightforward process accessible to anyone. Software is not necessary, as many companies have successfully employed this method before embracing Reliability practices. While their approach may not have been as structured as Reliability Based Maintenance philosophy, it effectively achieved their maintenance goals.

When determining the criticality of equipment, it is important to consider various factors such as production criticality, environmental impact, and safety. To effectively assess the criticality, it is recommended to rate each factor on a scale from 0 to 3 and then combine the scores to determine an overall criticality rating ranging from 0 to 9. This method allows for a straightforward calculation of equipment criticality and enables adjustments based on changing requirements. The calculation process is often the focal point of discussions surrounding equipment criticality assessments.

One way to categorize equipment failures is by their impact on Health, Safety, and Environment (HSE) as well as production and maintenance costs. Criticality A refers to failures that jeopardize HSE (Most/HSE critical), Criticality B includes failures that impact production (Production critical), Criticality C involves failures with high maintenance costs over USD10K (Maintenance critical), and Criticality D covers failures with lower maintenance costs below USD10K (mostly run to failure). Each criticality level can be further divided into N for no redundancy or Y for redundancy to provide a more detailed analysis.

During my previous employment, we utilized a system for Planned Maintenance to prevent unplanned breakdowns in machines. The process involved assigning ranks to machines based on their performance - Rank A for the worst, Rank B for the second worst, and Rank C for the best. By conducting a thorough inventory and ranking of all equipment in the plant, we were able to identify priorities for maintenance efforts. Our focus was primarily on improving Rank A machines to minimize failures. This approach led to significant success, with a drastic decrease in unplanned breakdowns from 888 incidents in January 2001 to only 14 incidents in September 2001. For more details on this method, please refer to the attached file: Machine_Ranking_Matrix.xls (30 KB).

Hi Terry, from my experience, a blend of methodologies tends to yield the best results. Stakeholder experience can provide invaluable insights that purely data-driven approaches might overlook. However, software and RCM frameworks support a more structured, objective assessment. Personally, I find the use of reliability software especially effective for tracking performance over time, identifying trends, and predicting potential problem areas. A technique called Failure Modes and Effects Analysis (FMEA) has been a game-changer for us. It not only helps assess the criticality of equipment, but also pinpoints where to focus maintenance efforts. Just remember, one size doesn't fit all - the right approach often depends on the specific context and nature of the plant operation.

I'm a big proponent of the Risk-Based Inspection (RBI) method, Terry O. It provides us with a solid balance between scientific analysis and practical know-how. What's great about RBI is that it effectively quantifies the risk levels associated with equipment and segments them by how critical they are to the plant's operation. This detailed breakdown allows for strategic allocation of resources – it doesn't shun human experience, yet still incorporates the precision of a technology-oriented approach. By integrating RBI with a predictive maintenance strategy, we can significantly increase the life cycle of critical plant equipment.

Hi Terry, in my experience, a blended approach often yields the best results. Relying solely on stakeholder experience may overlook novel technological advancements, while an exclusive reliance on tools like Reliability Software or RCM may not account for ground-reality nuances. An ideal approach in my view is to use these tools to curate a preliminary list and then further refine it with stakeholder consultations. This supplements empirical data with tacit knowledge for a more holistic view of equipment criticality.

I find that a blended approach often works best when assessing the criticality of plant equipment. While stakeholder experience provides invaluable insights about historical performance and operational nuances, integrating that knowledge with a Reliability-Centered Maintenance (RCM) framework can ensure a more systematic and data-driven evaluation. Additionally, using reliability software can facilitate the analysis of failure modes and effects, offering a real-time perspective on how equipment affects overall operations. This combination not only leverages the expertise of the team but also grounds decisions in quantifiable data, enhancing both reliability and safety assessments.

I think combining stakeholder experience with data-driven methods like RCM or reliability software often yields the best results. While stakeholder insights can provide context and on-the-ground understanding of equipment performance, software tools offer valuable metrics and predictive analytics that can identify trends and potential failure points. Personally, I’ve found that utilizing a hybrid approach—where regular operator feedback informs the analysis from reliability software—helps prioritize maintenance efforts effectively, ensuring that we address the most critical equipment while also considering the human insights that can’t be measured quantitatively. What’s been your experience with this blend, Terry?

I think a hybrid approach often works best for assessing criticality; combining stakeholder experience with data-driven methods like Reliability Software brings a well-rounded perspective. RCM offers a structured way to analyze failure modes, but input from those who interact with the equipment daily can highlight nuances that software might miss. I find that regularly conducting risk assessments and updating them based on both operational insights and statistical analysis keeps our maintenance strategies effective and proactive.

Hi Terry, I think a hybrid approach tends to be the most effective for assessing criticality. Combining stakeholder experience with data-driven tools like Reliability Software offers a balanced perspective, allowing you to quantify risks while incorporating insights from those who understand the equipment best. Also, using a Reliability-Centered Maintenance (RCM) framework can help prioritize based on the actual operation impact and failure consequences. Ultimately, it's about finding a method that suits your plant's specific needs and integrating continuous feedback for ongoing improvement. What has your experience been with these different techniques?

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Frequently Asked Questions (FAQ)

FAQ: FAQs:

Answer: 1. What are some common techniques used to assess the criticality of plant equipment? - Common techniques include relying on stakeholder experience, utilizing Reliability Software, and following a Reliability Centered Maintenance (RCM) approach.

FAQ: 2. How can stakeholder experience contribute to assessing plant equipment criticality?

Answer: - Stakeholder experience can provide valuable insights into the historical performance and importance of plant equipment, helping in determining criticality levels.

FAQ: 3. What is the role of Reliability Software in assessing plant equipment criticality?

Answer: - Reliability Software can aid in data analysis, predictive maintenance, and identifying critical equipment based on factors like failure rates and impact on operations.

FAQ: 4. How does the Reliability Centered Maintenance (RCM) approach differ from other methods in assessing plant equipment criticality?

Answer: - RCM focuses on identifying failure modes, consequences, and appropriate maintenance strategies to improve equipment reliability and performance, making it a systematic and comprehensive approach to criticality assessment.

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