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 to the right and download the flyer to learn more about ISEA.

We are a rapidly emerging discipline that has started an important journey. We sincerely hope that you will join us on this exciting adventure!


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.

    THANKS TO OUR ORGANIZATIONAL MEMBERS!


      


    ISEA WEBINAR: Statistical Engineering Applied to Variation Reduction

    may 27, 10 AM - 11 Am
    US EASTERN TIME
     

    Registration Now Open - FREE to Attend!

     This talk will discuss the use of Statistical Engineering to improve problem solving—that is, reducing variation in processes. It will discuss the Statistical Engineering (StatEng) algorithm and principles as defined in Steiner and MacKay (2005) and compare to the more recent and general definition of the same term in Hoerl and Snee (2017). Using the StatEng algorithm requires a series of empirical investigations where we utilize use information gained to help plan subsequent investigations. This effective use of prior results/knowledge and the consequences of its use in the variation reduction context are not commonly taught and thus opportunities for more efficient problem solving are lost. In this talk we will illustrate the systematic use of prior statistical information, especially baseline data, in problem solving using a case study.

    Register here!

    Hoerl, R. W. and R. D. Snee (2017) “Statistical Engineering – An Idea Whose Time Has Come,” The American Statistician, Vol. 71, No. 3, 209-219.
    Steiner SH and MacKay RJ (2005), Statistical Engineering: An Algorithm for Reducing Variation in Manufacturing Processes, Quality Press, American Society for Quality, Milwaukee, WI, ISBN 0-87389-646-7

    Presenter: Stefan Steiner is Chair and Professor, Dept. of Statistics and Actuarial Science, University of Waterloo

    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.  Check back at year end.  Case studies are also posted on  members only page.

    If interested in writing a statistical engineering case study  please contact Angie Patterson .

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