This article is the final of fourteen parts to our risk management series. The series will be taking a look at the risk management guidelines under the ISO 31000 Standard to help you better understand them and how they relate to your own risk management activities. In doing so, we’ll be walking through the core aspects of the Standard and giving you practical guidance on how to implement it. Continue reading
Author Archives: greg
#369 – CHANGING SUPPORT FOR RELIABILITY ENGINEERING – FRED SCHENKELBERG
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In most organizations being a reliability engineer is a lonely position. I like to think we’re so effective that one or just a small team is all any an organization needs.
As with any engineering position, we have specialized training and skills. We view the world and problems just a little differently than others. Then we use statistics, which tends to future isolate us from our peers. Continue reading
#369 – ISO 31000 MONITORING AND REVIEW – PETER HOLTMANN
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This article is the thirteenth of fourteen parts to our risk management series. The series will be taking a look at the risk management guidelines under the ISO 31000 Standard to help you better understand them and how they relate to your own risk management activities. In doing so, we’ll be walking through the core aspects of the Standard and giving you practical guidance on how to implement it. Continue reading
#369 – BIG DATA AND THE QUALITY PROFESSION – JAMES KLINE PH.D.
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Dianna Deeney in her piece in CERM Insights #362 notes that big data may provide the quality profession with more professional opportunities. Dr Anil Maheshwari in his book Data Analytics: Made Accessible specifically indicates that quality management will benefit from big data. (1) Continue reading
#369 – INTERNAL SUPPLIER PERFORMANCE CAN BE A RISK TO YOUR PROJECT – JOHN AYERS
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Today with robotic development, digital transformation, Artificial Intelligence, and other projects t will involve a multi-discipline team with many interfaces. To keep budget and schedule on these types of projects, inputs and outputs from all disciplines must be accurate, complete and timely. If not, your project will be risk. Continue reading