Ryan Myers: About the Author
Product Manager, Pinnacle
Ryan Myers, Product Manager at Pinnacle, oversees all new product development activities. He leads multi-disciplinary technical teams across engineering, data science, and software development fields to drive the creation of new products and services focused on increasing customer value through transforming their reliability, integrity, and maintenance programs. Ryan specializes in mechanical integrity and reliability engineering, project management, operational excellence, digital transformation, and product management. Ryan also has extensive experience both developing and applying decision analytics and mathematical models to improve business performance. Ryan obtained his Bachelor of Science in Mechanical Engineering with a minor in business from The University of Texas and is also a certified Lean Six Sigma Black Belt.
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Published Articles
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Utilizing Quantitative Reliability Optimization to Better Drive Facility-Wide Reliability and Maintenance Budgets
May/June 2021 Inspectioneering JournalThis article discusses how Quantitative Reliability Optimization (QRO) can help empower reliability and operations leaders with better data to make smarter and more confident reliability decisions for their facilities.
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November/December 2020 Inspectioneering JournalFacilities that can successfully leverage both their data and expertise while effectively integrating this unified model into their core business processes can improve performance and eliminate non-value-added activities.
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November/December 2019 Inspectioneering JournalToday's operators are implementing a myriad of Mechanical Integrity and Reliability programs to realize greater results from their facilities. However, for each of these programs to be effective, they must be fueled by quality and up-to-date data.
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May/June 2017 Inspectioneering JournalEffective condition monitoring location selection is a key component of a best-in-class mechanical integrity program. Learn how moving beyond traditional qualitative approaches to optimized CML selection can reduce risk and maximize the value of each inspection.
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May/June 2016 Inspectioneering JournalData, in pure form, consists of raw, unorganized facts that need to be processed. Data can be found in databases, documents, drawings, reports, spreadsheets, and numerous other sources. Having data on hand is useful, however, it’s often inefficient and counterproductive to make decisions based on data in its raw form.
