Accelerated Testing - Problems, Mysteries and Solutions
Instructor: Jim McLinn
This one day class will explore, by examples, exercises and solutions to challenging ALT situations commonly found in industry. Topics and tols covered by the solutions will include: Understanding of the concept of acceleration Use of Multilevel stress testing approaches Understanding common Stress models, Arrhenius, Power Law or Eyring Extrapolation from the overstress region to customer use conditions Dealing with limits of small sample size Using multiple stresses and interaction Understanding how to use degradation approaches when life is long. Use of Weibull analysis for help in analysis Using HALT when samples and time are limited Upon completion of the course the attendee will be able to develop an Accelerated test and understand the limits of the test method selected. The attendee will be able to efficiently and effectively manage the whole test process.
Practical Development and Application of Risk Management Frameworks
Instructor: JD Solomon
The workshop will provide a comprehensive overview of risk and risk management frameworks. An overview of risk management will be provided that includes the general components of a risk the ISO 31000 risk management framework, including elements of risk assessment (identification, analysis, and evaluation), risk treatment, communication, and monitoring. The emphasis of the workshop will on applications associated with industrial facilities and infrastructure and will include both design-phase and maintenance-phase perspectives. Major components of the workshop include: Foundational definitions, including relationships such as risk & uncertainty and risk & reliability Competing risk frameworks (ISO 31000, COSA, others) Establishing organization and problem context Qualitative versus quantitative approaches Risk assessment Tools for risk identification and risk analysis Risk treatment Risk monitoring and review Risk communication Enterprise risk management The workshop approach will be direct and practical. Insights will be provided into the strengths, pitfalls, and challenges associated with different situations that impact reliability, risk, and professionals working in different industry sectors. An emphasis will be provided on providing participants with practical “how” rather than theoretical “what” to do. The workshop will be conducted by an experienced facilitator using lecture style presentation combined with interactive support tools such as an audience response system (ARS), small group breakout sessions, and several exercises to enhance the learning experience. The session material has been presented successfully in corporate and professional development settings.
The primary learning objectives include:
1. Understanding of core risk and risk management definitions and concepts
2. Ability to effectively apply the international risk standard, ISO 31000
3. Determining the applicability of qualitative and quantitative risk approaches
4. Evaluate 24 risk tools and their applicability to practical situations
5. Incorporate the role of cognitive biases and risk appetite into decision making
6. Apply good practices for practical implementation of risk treatment and mitigation strategies
7. Understanding risk tracking in the context of enterprise risk management systems
The workshop is targeted at the intermediate level. It is applicable to a full range of reliability, risk, quality, safety, security, and financial professionals.
Weibull Analysis in the Real World
Instructor: Jim Breneman
This 8-hour course answers the questions:
1. What is Weibull Analysis and why is it useful?
2. What type of data do I need for Weibull Analysis?
3. I’ve had a couple failures of a Safety critical part, can Weibull analysis help me?
4. How can I calculate the number of future events with the few failures I have?
5. What should I expect from Managers/Customers when I present my analysis?
Weibull analysis generally refers to the process of fitting a Weibull distribution to a set of data, usually time or cycles to failure data, for the same reasons that we fit normal distributions to manufacturing data. The fitted Weibull distribution smooths out small sample variation and produces a concise description of the data with just two statistics. Some conclusions that can be drawn/explained from the data: Will 99.5% of the population survive until the next overhaul? Is Supplier A’s time-to-failure distribution = Supplier B’s time-to-failure distribution? How long do I have to test a new design? How fast must we fix the failure mode in the fleet, in order to prevent a logistic problem for the customer or a safety incident? In summary, the fitted Weibull distribution is a tool that helps translate raw data into useful information. Students will receive a CD of all material used (.pdf’s, .xls,.doc) and a certificate for 0.8 RU’s after successful completion. Student must bring: Attendees are expected to bring their own laptop computers. While the course will concentrate on the content-not any particular software, a software package is necessary to facilitate learning of the material. EXCEL & Minitab will be used in the course. If attendees do not have Minitab installed on their computer, a 30-day free trial can be downloaded from www.minitab.com ; but please make note not to download and install the software more than 30 days prior to the course.
Capital Asset Management / Critical Asset Strategy
Instructor: David Auda
It is sensible that organizations, whether they develop and produce products and/or services, understand what their capital assets are and more importantly, which ones are critical to their vision/mission attainment. To begin, prerequisites are needed that define vision/mission along with supporting goals and objectives. Given this information the identified ‘assets’ can then be assessed within the context of the given information. The approach that will be used here is generally applicable to almost any operation. This course will explore, by exercise, scenarios where no prerequisites are found and where there are well defined prerequisites (vision/mission/goals/objectives). Upon completion of the course the attendee will be able to collect/develop the necessary foundational information and create an asset matrix with assigned criticalities and proposed actions to efficiently and effectively manage the assets.