Upcoming Webinars

IISE webinars are FREE one-hour presentations by knowledgeable professionals and experienced volunteers who provide deeper insight into topics and issues involving industrial and systems engineers and ISE-related disciplines.

You must be able to view Windows Media Files to watch. If the recording does not start automatically, download this codec.

IISE will award continuing education units (CEUs) if you attend the entire webinar. Send your request to IISE customer service at cs@iise.org.

IISE members and others qualified to view designated webinars can also review the webinar archive and access past presentations.

Webinar Recordings

#HSPI2023 Pre-Conference Workshop Overview

Presented by the Healthcare Systems Process Improvement Conference 2023
1 p.m. ET Dec. 1

Enjoy this preview of each #HSPI2023 pre-conference workshop in this webinar! Each workshop leader will give a brief overview of what to expect, how to prepare and the type of activities planned. Click here to read more about the scheduled pre-conference workshops.

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Dynamic Characterization and Optimal Self-Management of the Emergence Trajectories of Multiple Chronic Conditions

Presented by the IISE Quality Control and Reliability Engineering (QCRE) Division
1 p.m. ET Dec. 6
Presenter: Dr. Adel Alaeddini

More than a quarter of all Americans and two out of three older Americans are estimated to have at least two chronic health problems. Treatment for people living with multiple chronic conditions (MCC) consume an estimated 66 percent of U.S. healthcare costs, and as the population ages, the number of MCC patients will increase. However, fundamental knowledge gaps remain in our understanding of how MCC evolves at the individual and population levels. This presentation introduces functional and deep continuous time Bayesian networks to model the relationship among MCC and non/modifiable risk factors to characterize major patterns of MCC emergence in individuals based on a dataset from the US Department of Veteran Affairs.

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Data Science for Wind Energy

Presented by the IISE Energy Systems (ES) Division
3 p.m. ET Dec. 9
Presenter: Dr. Yu Ding

Wind energy is one of the fastest-growing clean energy sources. Despite the significant growth in the past two decades, wind energy missed some intermediate goals set forth earlier. In his book, Data Science for Wind Energy, Dr. Yu Ding demonstrates how statistical and machine learning methods can help address research needs in wind energy applications. Dr. Ding will discuss some challenges encountered in wind applications and present use cases in which statistical/machine learning models and solutions make sensible impacts.

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Strategic Performance Improvement Planning in Periods of Economic Disruption

11 a.m. ET Dec. 13

In periods of disruption, as we have shared, Insightful Leadership is required to skillfully guide the challenging path to sustained "performance excellence." Price Recovery has been and will continue to be a "solution" that is constrained, limited in effectiveness—many firms just cannot increase prices fast enough to offset rising costs in the supply chain.

As such, effectively planning to improve productivity and quality faster and better is the name of the game.

This webinar will outline a process, method for doing Process and Performance Improvement Planning we have developed over the past 30 years. We will overview the method and provide specific examples of how it plays out in different types of organizations. Join us to learn about how to drive Productivity Faster, Better in Disruptive, Difficult Economic times.

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