Blogs

ASQ RRD Series Webinar: The Use Of AI In Predictive Maintenance Presenter: Frank Juarez Thursday, July 11, 2024 12:00 PM – 1:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/r1f636c5bd0e5421a4d20b841289ff5e9 Abstract: Artificial Intelligence (AI) technologies can significantly benefit predictive maintenance (PdM) strategies by offering transformative opportunities for industries striving to enhance operational efficiency and reduce downtime. AI-enabled predictive maintenance leverages machine learning algorithms, which are capable of ingesting historical and sensor maintenance data to forecast equipment failures ...
This May in San Diego, CA at the ASQ’s World Conference on Quality & Improvement (WCQI) Jim Breneman received the Fellow certificate. The grade of ASQ Fellow is an earned distinction, based upon an individual’s established record of contributions to the quality profession and the Society. This achievement is a symbol of respect from your colleagues and accepted by the highest officers at ASQ. His citation reads: “For leading the development of Weibull analysis and risk analysis in the industry, for improving industry/university relationships, for unrelenting dedication to mentoring and teaching, for maturing future leaders in the fields ...
This May in San Diego, CA at the ASQ’s World Conference on Quality & Improvement (WCQI) Daniel C. Conrad received the Shainin Medal. The Shainin Medal recognizes innovation. It is awarded for the development of unique creative approaches applied to the improvement of quality or reliability. Criteria for nomination and selection will be based on the use of creative or unique applications in the solving of problems related to the quality reliability of products or services. Unique is defined as being without like or equal. Creative is defined as having the quality of creating something new rather than imitating what was done in the past. https://asq.org/about-asq/asq-awards/honors/shainin ...
We are pleased to announce that the Reliability and Risk Division has received the Bronze award recognition for 2023. As you know, the PEP award program was created to recognize Member Units for excellent performance that reinforces ASQ’s thought leadership position and expands ASQ offerings to members and customers. Measures included in the 2023 award program were: Contributions to ASQ thought leadership, as measured by myASQ content postings. Member Engagement and Experience, as measured by myASQ activity. Fiduciary responsibility, as measured by adherence to budget. Achievement of business plan objectives, as measured by self-reported progress ...
ASQ RRD Series Webinar: Introduction To Software Reliability Presentors: Drs. Lance Fiondella and Vidhyashree Nagaraju Thursday, September 12, 2024 12:00 PM – 1:00 PM https://asq.webex.com/weblink/register/re67874ad2a549c4b1a046605446d08c9 Abstract: Modern commercial and defense systems increasingly depend on software for their functionality. Unlike hardware, software does not wear out physically, as it is not directly subject to any mechanical or electrical stress throughout its lifetime. However, while hardware has enjoyed significant gains in reliability in recent decades, many systems have attributed a disproportionate number of failures to software. ...
ASQ RRD Series Webinar: Emotional Intelligence Boosts Connection And Why It Matters Thursday, August 8, 1, 2024 12:00 PM – 1:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/ra32c72243f961a95953d9593664f0465 Abstract: Emotional Intelligence has been a topic for many years, and this webinar will explore its advantages and impacts. Join us to discover how you can take advantage of the approach. Emotional intelligence (EI) is often written off as a nice-to-have soft skill. But the reality is that EI — and the genuine connections it helps establish — can be the difference-maker for mission critical must-haves ...
See https://asqrrd.org/rmmr_conference_schedule/
ASQ RRD Series Webinar: Stochastic Modelling Presenter: Jorge Luis Romeu, PhD Thursday, June 13, 2024 12:00 PM – 1:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/re8d5c5ee48376a4de25f6087feeca5f7 abstract Modeling a process or a system as a Markov Chain offers an excellent tool for its performance evaluation and for the study of different factors that can run it astray. In this talk we will present four examples of modeling Covid-19 problems as Markov Chains: (1) the trajectory of Covid-19 infected patients into an ICU, and up to their death; (2) assuming that the virus will infect a large part of the population, ...
ASQ RRD Webinar: Weibull Distribution -Part 2 & Part 2+ Presenter: Jim Breneman Friday, April 26, 2024 12:00 PM – 2:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/r6fc9846734c7dd6e3b3bcced36b18ae9
ASQ RRD Webinar: Weibull Distribution -Part 1 finish and start Weibull Part 2 Presenter: Jim Breneman Friday, April 12, 2024 12:00 PM – 2:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/r17d37cff70a047d7e723aa599f13ccdb
ASQ RRD Series Webinar: Product Liability Drama: How Reliability And Statistical Methods Prevent It Thursday, May 9, 2024 12:00 PM – 1:00 PM (UTC-04:00) Eastern Time (US & Canada) Presenter: Allise Wachs, Ph.D. https://asq.webex.com/weblink/register/r91e9f911983cd6eb52ca28825b736575 Abstract: Large manufacturing companies spend billions of dollars on warranty and product liability lawsuits annually. Warranty, product liability suits, safety recalls, and associated costs could easily be minimized with the proper use of industrial statistical and reliability methods. Many product defect cases are a result of a suboptimal design or unstable manufacturing ...
ASQ RRD Series Webinar: Emotional Intelligence Boosts Connection And Why It Matters Presenters: Elizabeth Solomon, Rebecca Young, Travis Marsh Julia Markish https://asq.webex.com/weblink/register/ra32c72243f961a95953d9593664f0465 Abstract: Emotional Intelligence has been a topic for many years, and this webinar will explore its advantages and impacts. Join us to discover how you can take advantage of the approach.
The Abstract Submission Deadline for RMMR 2024 is extended from April 5, 2024 to April 15, 2024. https://asqrrd.org/rmmr_conference/ We invite you to submit abstracts for the presentations at the 4th Annual Reliability, Maintenance & Managing Risk Conference (RMMR 2024) to be held on July 25-26, 2024 (with pre-conference courses to be offered on July 24), in Pittsburgh, PA. RMMR 2024 is sponsored by the American Society for Quality (ASQ), Reliability and Risk Division (RRD). It is a forum for the quality and reliability practitioners, asset and risk managers, statisticians, and academic researchers to come together to share and learn from each other. ...
ASQ RRD Webinar: Reliability Modeling — parallel, series, redundant, standby systems Friday, May 10, 2024 12:00 PM – 2:00 PM (UTC-04:00) Eastern Time (US & Canada) https://asq.webex.com/weblink/register/r903112401633b9ff7516c956addebb97 More info TBA
ASQ RRD series webinar: 2024 AIAG CONTROL PLAN Manual review Wednesday, April 24, 2024 12:00 PM – 1:00 PM (UTC-04:00) Eastern Time (US & Canada) Presenter: Richard Harpster https://asq.webex.com/weblink/register/rf3d24e2ce831799c1a9e5a676033d83a Abstract: 2024 AIAG CONTROL PLAN Manual – What’s New and Will It Lead to Stronger or Weaker Process Control Plans? On March 5, 2024, the AIAG announced that the CONTROL PLAN Reference Manual was available for sale. It has been almost sixteen years since the 2008 ADVANCED PRODUCT QUALITY PLANNING (APQP) AND CONTROL PLAN Reference Manual Second Edition (“2008 AIAG APQP Manual”) describing how to implement Control ...
Keynote speaker: Alexander J. Porter Alexander (Alex) J. Porter is the Global Director of Engineering at Intertek, and has been with the company since 1992. Over the course of his employment at Intertek Alex has held positions in materials testing, finite element analysis, sales, engineering development, Chief Engineer and now Global Director of Engineering. Alex got his start in business development by bringing FEA methods into the physical test laboratory. Starting in 1996, Alex began developing accelerated testing methods for mechanical components and systems. Alex worked with automotive, furniture, industrial and appliance ...
See: https://asqrrd.org/introduction-to-reliability/ for more info. Introduction to Reliability Engineering Course outline Month Day Time Title Link February 9 Noon-2PM Class Introduction-Overview, continuing into Prob-part 1 https://asq.webex.com/weblink/register/raa87b8c9d2ecf36aaf3bb67786625f2e February 23 Noon-2PM Probability (Hint: Reliability is Applied Probability)-Part 1 https://asq.webex.com/weblink/register/r89c1a886e83ecb525cf3c449c72eb49d March 8 Noon-2PM Probability (Hint: Reliability is Applied Probability)-Part 2 https://asq.webex.com/weblink/register/rb4f0850cf79efa5d779f9223d044018b ...
Ellis R. Ott Scholarships Supporting Graduate Students in Applied Statistics and Quality Management In honor of Dr. Ellis R. Ott, late professor at Rutgers University and a founder of ASQ, the Ellis R. Ott Scholarship program awards two scholarships annually of $7500 to graduate students enrolled in or accepted to a master’s or doctoral program in the US or Canada in applied statistics or quality management or related fields.This competitive scholarship aims to support students who are passionate about improving quality and advancing the field of statistics. This program provides financial assistance to help graduate students achieve their educational ...
On Thursday, January 11, 2024 Tim Adams presented: ASQ RRD series webinar: Zero Failures: Calculate Reliability with No Recorded Failures Agenda This presentation for the practitioner provides methods with an illustrated Microsoft Excel tool to calculate reliability when the life-data set contains no recorded failures (zero Failures). The methods address both types of data (discrete and continuous) and both types of statistics (classical and Bayesian). The desired outcome is: Given life data with no failures and the zero-failure Excel tool, calculate reliability, interpret the result, and describe the method(s) used. The prerequisites are familiarity ...