Description
The course is ideal for those new to the field as well as managers who want to increase their awareness of the payoffs of different approaches and experienced reliability engineers interested in a refresher course.
Reliability should be an integral part of all aspects of a system’s life cycle, including requirements definition, concept development, product design, design verification, qualification, reliability growth management and testing, reliability demonstration testing, and field monitoring and support. As any reliability practitioner can attest, an overwhelming number of calculations and statistics are used to determine how system requirements should be allocated and how the design should be modeled, assessed and re-designed to maximize customer satisfaction or meet requirements. This course presents and demonstrates common mathematical calculations and statistical techniques that reliability engineers use every day.
Reliability 201: Quantitative Reliability Analysis is an excellent follow-on to Reliability 101 and Design for Reliability courses or can be taken as a standalone course.
If you need to know the basics of quantitative reliability analyses as they apply to developing and fielding better products and systems, this course is for you. Design engineers, reliability engineers, and product/program managers will also benefit.
You will walk away from Reliability 201 with the ability to perform basic reliability analyses and interpret the results. Additionally, you will be able to apply:
- Reliability Allocation
- Reliability Modeling
- Statistical Distributions
- Reliability Predictions
- Stress-Strength Analysis
- Data Analysis (Graphical and Statistical)
- Weibull Analysis
- Reliability Growth Models
- Reliability Demonstration Test Methods
- Design of Experiments
- Statistical Press Control (SPC)
- And more!
This course will instruct you in:
- How to perform and interpret various quantitative reliability analyses commonly used by reliability engineers, and
- What practices to apply for various development situations and the basics of cost effectively implementing them
- How to effectively improve products and system reliability through quantitative analyses
- And more!
Group Discount
Groups of three or more receive a 10% discount, and groups of five or more receive a 15% discount. This discount cannot be combined with the early bird discount. To get the group discount, all registrants must be registered at the same time but not necessarily the same course.
The group discount cannot be combined with the early bird discount.
Contact Qinfo@quanterion.com to ask for a group discount. You will receive a coupon code in your email.
Hotel Reservations/Room Rates
Drury Inn & Suites Albuquerque North is holding a limited block of guestrooms for course attendees at the group rate of $153.00 per night for either a Non-Smoking 1 King Bed Deluxe Room or a Non-Smoking 2 Queen Bed Deluxe Room (room rate includes Complimentary Hot Breakfast (served daily from 6:00 a.m. – 9:30 a.m. on weekdays and 7:00 a.m. – 10:00 a.m. on weekends and Complimentary 5:30 Kickback® from 5:30 p.m. – 7:00 p.m. every evening (hot food and cold beverages).
Individual reservations can be made online at: https://www.druryhotels.com/bookandstay/newreservation/?groupno=10111435. Reservations may also be made by calling 1-800-325-0720 and refer to the Group number of 10111435.
Email Qinfo@quanterion.com or call toll-free at (877) 808-0097 with any questions about reserving your room.
Provided Reliability Resources
Attendees will receive the Quanterion Automated Reliability Toolkit for Enhancing Reliability (QuART ER) software as well as a copy of the System Reliability Toolkit-V publication, a $474 value.
Testimonials for Quanterion's Open Training
“The instructor was very qualified and knew the content in depth. Highly recommended!”
“Instructor did a great job – this is my second course with him. Great instructor.”
“Well done and efficiently delivered!”
“Instructors were obvious subject matter experts.”
“Vivid technical expertise!”
“Instructors were extremely knowledgeable about the subject matter and really brought something extra to the course by relaying real life examples and experiences using Weibull Analysis.”
“Instructor was very knowledgeable. No doubt an expert in his field. So I was very impressed.”
Cancellation Policy
Cancellations received more than five (5) business days prior to the course start date are fully refundable. Cancellations received less than five (5) business days prior to the course start date are not refundable and are subject to the entire registration fee, which can be applied towards a future offering of any Quanterion Solutions Incorporated (QSI) “Open” training course of the same value. Please note that if you do not cancel and do not attend, you are still responsible for the registration fee.
QSI reserves the right to cancel training courses at any time up to two (2) weeks prior to the start date. In the event that QSI cancels, all registration fees will be refunded in full.
QSI is not responsible for charges, other than registration fees paid, incurred by registrants from cancellation of any of the courses.
