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 to further develop 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 this website.

Quality Engineering 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. Quality Engineering just electronically published the special edition on statistical engineering. It may be found at:

https://www.tandfonline.com/toc/lqen20/current


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 AVAILABLE

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 LINKEDIN

The 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 CHANNEL

    ISEA 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.

     HANDBOOK OF STATISTICAL ENGINEERING NOW AVAILABLE

    The Statistical Engineering handbook is now available to ISEA members.

    To access the handbook, log in to your account by clicking on the person icon in the upper right corner of this page. More detail was given in a September 2021 webinar.

    The recording of the webinar is available here.


    Escalator Health Condition and Remaining Useful Life Modeling - webinar

    Speaker: Inez M Zwetsloot, Department of Advanced Design and Systems Engineering, City University of Hong Kong

    Date: 18th January 2023, at 12:00-13:00 CET

    MTR, the major Hong Kong public transport provider, has been operating for 40 years with more than 1000 escalators in the railway network. The objective of this project is to develop a comprehensive health condition model for escalators to support the refurbishment decision. 

    In this talk, we will provide an overview of this project and discuss how the statistical engineering framework was used for successful execution. 

    Read more information and register

    Present at DATAWorks 2023

    We invite you to submit a contributed abstract for a presentation, poster presentation, or speed presentation at DATAWorks 2023. The workshop will be held April 25 - April 27 at the Institute for Defense Analyses Potomac Yard Headquarters located in Alexandria, Virginia. 

    • Submit your Abstract: Here
    • Submission Deadline:  February 3, 2023
    • Notification of Acceptance: February 17, 2023

    Please share this announcement with friends and colleagues whom you think may be interested! Continue to stay up to date on all of the latest news and information at dataworks.testscience.org.

    We look forward to seeing you in 2023!

    DATAWorks Co-Chairs

    INFORMS-QSR Webinar Series Presents:
    Dr. Peter Parker, Ph.D., P.E. National Aeronautics and Space Administration (NASA) Langley Research Center, Hampton, Virginia, USA

    This webinar provides an overview of the International Statistical Engineering Association (ISEA), and it illustrates the practice of statistical engineering at NASA. 

    Read more...

    The recording of this webinar is available here.

    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 .

    THANKS TO OUR ORGANIZATIONAL MEMBERS!

      


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