Data-driven decisions are more likely to win management support and ensure your actions are focused in the right areas. So how do you get it right?
In this half-day workshop, we will start with the basics of statistics and then go deeper and deeper.
- We start with a quick review of average/mean/median, plus variance and standard deviation.
- We will use what we just learned to explain the pros and cons of MTBF, MTTR and MTTF.
- (We will quickly distinguish between repairable and non-repairable assets and how that affect our analysis.)
- We then explain correlation (at the heart of predictive analytics) and linear regression (forecasting/projections) and the Laplace trend test.
- Then we get into histograms (including Pareto analysis), data distributions, and probability density functions (PDF) and cumulative distribution functions (CDF) and how to use them for important maintenance/budgeting/reliability decision-making challenges.
- We will summarize normal “Gaussian” distribution (the bell curve), but then discuss Weibull distribution, Weibull analysis, and the famous failure curves (thus decreasing failure rate, constant failure rate, and increasing failure rate). This goes to the heart of RCM.
- And then we will move on to reliability growth analysis: the Duane model and Crow-AMSAA. You will be surprised how powerful these tools can be for justifying the effectiveness and value of your program.
- Then we will move further into the area of maintenance and reliability decision making: Pareto analysis, criticality analysis, reliability block diagrams, and Monte Carlo simulations.
- And finally, we will discuss data quality. Some people are skeptical of using data because they fear their data has poor quality. Not only will we explain how to collect good data (and the meaning of suspended data when the machine does not actually fail), but you will also learn that there is a lot you can do with poor data.
Note: we will discuss criticality analysis as a means of utilizing data for decision making, but the subject will be covered in more detail during a 45-minute conference presentation. We will also briefly mention reliability block diagrams – there is not enough time to go further.
(Please note: this topic is covered in the ARP II course, but it is the topic that many people struggle with, so this is a great opportunity to get a jump start on the ARP II course and learn something that is tremendously powerful.)
Get a good night’s sleep and a hearty breakfast; you will learn a lot in this workshop!
Jason Tranter is the founder and Managing Director of Mobius Institute. Jason is the author of the majority of the Mobius Institute training courses and e-learning products covering reliability improvement, condition monitoring and precision maintenance topics. Titles include iLearnReliability, iLearnVibration, iLearnAlignment, and iLearnBalancing. Vibration analysis classroom and distance learning courses follow ISO 18436-2 Category I – IV. Mr. Tranter has been involved with this field of work since 1984. He has worked with people in a variety of industries to help improve reliability and implement successful condition monitoring programs. He is an Australian delegate to ISO TC 108/SC5 “Condition monitoring and diagnostics of machine systems”. Jason has written numerous articles and presented at conferences around the world. Jason has also been awarded “best presenter” at numerous conferences, including at the previous two Euromaintenance conferences. Thousands of people have viewed Jason’s Webinars and YouTube videos on the Mobius YouTube channel. Mobius Institute has training centers in over 60 countries, and also provides certification through the ISO/IEC 17024 accredited organization, Mobius Institute Board of Certification. Mobius has direct offices in Australia, Europe and the United States with over 20 employees.