Reliability, Maintenance & Managing Risk Conference August 2-3, 2022 - Courses
Monday August 1: Design and Analysis of Accelerated Life Testing: Instructor: Dr. Rong Pan (8h – $499)
Thursday August 4: Weibull and Risk Analysis Course: Instructor Trevor Craney (8h – $499)
Monday and Thursday (August 1 and 4): Certified Reliability Engineer (CRE) Preparation Course: instructor Mohammad Pourgol-Mohamad (8h + 8h – $899)
Design and Analysis of Accelerated Life Testing: Instructor: Dr. Rong Pan
Accelerated life testing (ALT) is a direct approach to obtain product failure time information and is widely employed in the product development and reliability improvement process. Companies may use ALTs for multiple purposes such as quantifying the failure time acceleration factor for specific environmental stress variable, validating a stress-lifetime relationship, and predicting some reliability measures under normal use condition, etc. In this workshop, we will first give a thorough presentation of different ALT plans and the varying data forms generated from ALTs. In order to draw valid conclusions from ALT data, proper statistical analysis methods must be chosen. Therefore, we will study both lifetime distribution models and lifetime regression models and demonstrate their usefulness in ALT data analysis. We will show the impact of failure time censoring on distribution parameter estimation and how to select a good regression model from both the physics-of-failure and goodness-of-fit perspectives. This webinar will also provide hands-on exercises using JMP and R. All software codes and step-by-step instructions will be provided to attendees before the webinar.
Materials to be covered:
- Lifetime distributions
- Censored data analysis
- Optimal life testing plans
- Acceleration factors and physical acceleration models
- Lifetime regression models
- Factorial and fractional factorial experimental designs
- Optimal experimental designs for ALTs with multiple acceleration variables
About the Instructor:
Dr. Rong Pan is an associate professor of Industrial Engineering in the School of Computing and Augmented Intelligence at Arizona State University. His research interests include failure time data analysis, design of experiments, multivariate statistical process control, time series analysis, and computational Bayesian methods. He has over 20 years’ experience in teaching and research in the areas of statistical methods for reliability modeling and data analysis. His research has been supported by NSF, Arizona Science Foundation, Air Force Research Lab, etc. He has published over 90 journal papers and 50+ refereed conference papers. He was the recipient of the Stan Ofsthum Award in 2008, 2011 and 2018 and William A. Golomski Award in 2015 and 2020. His papers won the Best Reliability Paper Award of Quality Engineering in 2012 and 2013. Dr. Pan is a senior member of ASQ, IIE and IEEE, and a lifetime member of SRE. He serves on the editorial boards of Journal of Quality Technology and Quality Engineering.
Weibull and Risk Analysis Course: Instructor Trevor Craney
This course will teach the necessary basics to understand and carry out a Weibull analysis with a subsequent risk analysis. The following outline gives a rough description of the sections of the course:
- Introduction: Why do we use a Weibull distribution?
- Interpreting results of a Weibull analysis
- Parameter estimation – MLE vs. RR
- Weibayes estimation
- Model validity and calibration
- Forecasting future risk
- Monte Carlo Simulation
Duration: 8 hours (one day of 8-hours)
Instructor course slides & notes
Software – Excel, Minitab, Weibull++, R
About the Instructor:
Trevor Craney is a statistician, risk analyst and reliability engineer. He holds the degrees: MS in Reliability Engineering from University of Maryland (UMD), MS in Industrial Engineering from University of Florida, and MS in Statistics from University of South Carolina. He is an IISE Fellow, ASQ Fellow, past chair of the ASQ Reliability and Risk division, past chair of the ASQ Society Examining Committee, and currently serves on the RAMS Board of Directors. He is an ASQ certified quality engineer and certified reliability engineer. He has authored numerous papers. He is a regular presenter at conferences with a focus on reliability and statistics, and he holds several US patents.
Certified Reliability Engineer (CRE) Preparation Course: instructor Mohammad Pourgol-Mohamad
This course will teach all the foundational material to pass Certified Reliability Engineer (CRE) exam your first time! The Certified Reliability Engineer (CRE) is a professional who understands the principles of performance evaluation and prediction to improve product/system safety, reliability, and maintainability. The course will be according to the ASQ body of knowledge (BOK) including design review and control, life parameters prediction/estimation, and apportionment methodology, failure mode effects and analysis, the planning- operation-analysis of reliability testing, design for Reliability and field failures analysis. The course will also cover reliability mathematical modeling, human factors in reliability, and the techniques to develop and administer reliability information systems for failure analysis, design and performance improvement and reliability program management over the entire product life cycle.
Duration: 16 hours (two days of 8-hours)
Resources: 1. ASQ The Certified Reliability Engineer Handbook 3rd Edition, 2017
- Premier Indiana CRE
- Class Slides
About the Instructor:
Dr. Mohammad Pourgol-Mohammad is a safety/reliability analyst in multidisciplinary systems analysis and Associate Professor (adj) of Mechanical engineering at University of Maryland and was an Associate Professor of Reliability Engineering with Sahand University of Technology (SUT). He received his Ph.D in Reliability Engineering from University of Maryland (UMD. He is a senior member of ASQ, ASME Fellow and a registered Professional Engineer (PE) in States of Maryland and Massachusetts. He is a certified reliability engineer (ASQ CRE), certified six sigma Black Belt (CSSBB) and Manager of Quality/Organization Excellence (ASQ CMQ/OE). He has authored more than 150 papers and reports on his researches and filed one US patent.