.png)
International Statistical Engineering Association |
CHAIR’S WELCOME TO THE ISEA WEBPAGE!
Welcome to the International Statistical Engineering Association (ISEA) webpage! We are the global society dedicated to advancing the emerging discipline of statistical engineering. We are extremely happy that you have reached out to learn more about us.
See information on statistical engineering below and download the flyer to learn more about ISEA. The newly published Statistical Engineering Handbook is now available by logging in to your Member account, and then click on Members - Members Only Content.
We are a rapidly emerging discipline that has started an important journey. We sincerely hope that you will join us on this exciting adventure!
Statistical Engineering 2022: Retrospective and New Directions
In 2012, Quality Engineering published a special edition on the emerging discipline of statistical engineering (https://www.tandfonline.com/toc/lqen20/24/2). Much has transpired in the further development of statistical engineering since 2012, including the creation of a new professional society, the International Statistical Engineering Association, or ISEA (https://isea-change.org/), and the publication by ISEA of the Statistical Engineering Handbook, available in the members-only section of the ISEA website.
Quality Engineering has decided to publish another special edition on statistical engineering in the fall of 2022, to mark the ten-year anniversary of the original special edition on this topic. We are issuing a call for papers to be considered for this special edition, which will need to be submitted to Quality Engineering online between November 1, 2021, and June 1, 2022.
Because statistical engineering is a unique discipline from applied statistics, we encourage those considering submissions to read the 2012 special edition, and at least Chapter 1 (Introduction) of the Statistical Engineering Handbook, to obtain a better understanding of this uniqueness. Reviewers will be looking for evidence of some (not all) of the following core aspects of statistical engineering:
- Sequential approaches, versus “one-shot” studies
- Addressing large, complex, unstructured problems (for example, those too large to be addressed with traditional Lean Six Sigma projects)
- Discussion of the difficult tasks of problem structuring and developing deep understanding of the historical context of problems
- Utilization of multiple methods, including non-statistical methods
- Development of an overall strategy for attacking large problems
- Incorporation of subject-matter knowledge into the problem strategy and solution
- Deployment of sustainable solutions
- Consideration of the pedigree of data analyzed
- Utilization of the major phases of statistical engineering, as explained in Chapter 1 of the Handbook
The website for the special issue is: https://bit.ly/_Quality_Engineering
WHAT IS STATISTICAL ENGINEERING?The study of systematic integration of statistical concepts, methods, and tools, often with other relevant disciplines, to solve important problems sustainably.
WHY STATISTICAL ENGINEERING?Problem solvers are faced with enormous problems such as: lower cost healthcare, cleaner environment and globally competitive manufacturing. A cohesive body of knowledge for solving such problems is lacking. Collection and analysis of high quality, relevant data is critical to success. Big Data approaches are useful but not sufficient. Statistical Engineering provides the integration needed to fill the gap. The need for Statistical Engineering educational programs and increased published applications of the discipline is vital and urgent. For more information, join ISEA and gain access to the Handbook of Statistical Engineering, case studies, and other publications by thought leaders. SLIDE DECK AVAILABLEA slide deck describing statistical engineering is now available. Members are encouraged to use these slides to educate others on the benefits of statistical engineering. JOIN ISEA ON LINKEDINThe ISEA LinkedIn group is now open to the public. Here you will find educational materials as well as information on upcoming events where you can learn more about statistical engineering. Please feel free to join the group and the conversation. SUBSCRIBE TO THE ISEA YOUTUBE CHANNELISEA now has its own YouTube Channel, where you can view past webinars and other educational videos about Statistical Engineering. Currently, there are two playlists Why is Statistical Engineering Important and Use cases, where we will be adding more in the coming months. Check out the channel, subscribe, comment on the content (including recommendations for future content), and set notifications to be updated when new videos are posted. Mark Your Calendar for DATAWorks 2022!
We are excited to announce DATAWorks 2022 will take place April 26–28 at the new Institute for Defense Analyses Potomac Yard Headquarters located in Alexandria, Virginia. THANKS TO OUR ORGANIZATIONAL MEMBERS! | ISEA and INFORMS Collaboration: 
The Carolyn J. Stewart Chair and Professor Georgia Institute of Technology Founding Chairperson of the INFORMS Quality, Statistics and Reliability (QSR) Section
May 26th, 12 pm eastern Register for the webinar at: https://attendee.gotowebinar.com/register/8816501480186272781 Peter Parker, President of ISA, Named AIAA Fellow The American Institute of Aeronautics and Astronautics (AIAA) named Peter A. Parker, statistician at NASA Langley Research Center and ISEA President, an AIAA Fellow during its 2022 Sci Tech Forum in San Diego January 3rd for “significantly impacting the aerospace body of knowledge and practice through the development and leadership of the new discipline of statistical engineering.” 
TWO ISEA LEADERS PUBLISH NEW BOOK ON STATISTICAL ENGINEERING
This book, by Roger Hoerl and Ron Snee, utilizes a state-of-the-art approach to teaching introductory business statistics, which has been tested for more than eight years in the classroom. It fills an important void, one that many have been concerned about for some time. Download the full abstract here. CASE STUDIES Using Statistical Engineering in Solving Pharmaceutical and Biotech Problems by Ron Snee The North America Competitive Product Laundry Initiative by Sol Escobar, Cindy Rodenberg, and Alex Varbanov Multilevel Process Monitoring: A Case Study to Predict Student Success by Leo C.E. Huberts and Ronald J.M.M. Does More case studies are in the process of being documented. Case studies are also posted on members only page. If interested in writing a statistical engineering case study please contact Angie Patterson . |
Copyright 2020 International Statistical Engineering Association | Join us on |
