Past Webinars

Deep Transformation with Smart Supply Chain Digitization

 

Event Info

icon_calendar.jpgJune 17, 2021
icon_clock.jpg12noon ET
icon_stopwatch.jpgDuration: 1 hour

Speakers

Simchi__2_.jpg

    David Simchi-Levi is a Professor of Engineering Systems at MIT and serves as the head of the MIT Data Science Lab.  He is considered one of the premier thought leaders in supply chain management and business analytics.

    Professor Simchi-Levi is the current Editor-in-Chief of Management Science.  He has won numerous INFORMS awards, and has founded or cofounded three companies -LogicTools,  OPS Rules, and Opalytics - which were acquired by IBM, Accenture, and Accenture Applied Intelligence, respectively.


     

    Abstract

    The presentation is focused on a practical supply chain digitization strategy that includes three important components: a unified, single, view of demand; supply chain segmentation; and smart planning and execution, all of which are powered by Digitization, Analytics and Automation.

     

    Listen to replay here

     

    These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

    Veritec Solutions Revolutionizes Self Storage Pricing Practices

     

    Event Info

    icon_calendar.jpgMay 21, 2021
    icon_clock.jpg12noon EDT
    icon_stopwatch.jpgDuration: 1 hour

    Speakers

    Warren

      Dr. Warren H. Lieberman is President of Veritec Solutions.  Veritec is a consulting and software development firm focused on helping companies optimize their pricing and revenue management capabilities.

      Since beginning his career in yield management at American Airlines in 1984, Warren has become a leading expert in non-traditional applications of revenue management and dynamic pricing.  He has worked with firms in more than 30 industries. 

      Dr. Lieberman is a co-inventor on a patent application for Value Pricing.  Value Pricing is a dynamic pricing method using customer segmentation techniques.  He has served on the INFORMS Board of Director as Vice President, Information Technology and has spoken at many Revenue Management and INFORMS conferences, including the INFORMS Business Analytics Conference.  He has also held a variety of positions in the INFORMS Revenue Management Section.

      Warren received the B.S. degree in Mathematics with a specialization in computer science from the State University of New York at Binghamton.  He holds a Ph.D. in Operations Research from Yale University.


       

      Abstract

      Using customer segmentation techniques in a new and innovative manner, we highlight an automated and dynamic capability known as Value Pricing.  Without using purchase fences/restrictions, Value Pricing allows offering customers multiple rates for a product previously offered at a single price. By introducing the concept of “dynamic relative desirability,” Value Pricing enables greater revenue gains than the static inventory allocation approach used in some industries to differentiate inventory, such as the seat selection process for airlines, where certain types of seats are sold for premiums. We will show how Value Pricing is incorporated into the websites of several companies.

      The increased revenues made possible by these methods is a “game changer” for many self-storage companies.  The President of one company has described it as the “next step in self storage evolving and growing.”

       

      Listen to replay here

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

      Building and Sustaining Analytics at Chevron

       

      Event Info

      icon_calendar.jpgMay 14, 2021
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      Margery

      Margery Connor is currently the Data Science & Analytics Advisor at Chevron. In her previous role she focused on growing data science competency and coordinated the data science strategic research portfolio.  She initiated and managed the Modeling and Analytics Center of Excellence.  Throughout her 30+ year career at Chevron, Margery has applied her proficiency, professional focus and operations research capabilities to address many business problems and drive significant value. In recognition of her technical contribution to Chevron, Margery was appointed a Fellow in 2013.

      Margery has as BS in Systems Engineering from the University of Virginia and a MS in Operations Research from UC Berkeley. She is very active in INFORMS, including President-Elect of the Roundtable.


       

      Abstract

      Chevron and the energy industry have a long history of applying analytics to solve tough business problems.  See examples in this article.  With the business challenges and the technologies to solve them growing dramatically over the past decade, building an analytics team of the appropriate size and skillset has been a moving target.  Margery will share her lessons learned from leading the analytics organization at Chevron.

      Watch replay  here

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Arnie Greenland.

      Predictive Models for Optimizing Imaging Decisions for Detection of Metastatic Prostate Cancer

       

      Event Info

      icon_calendar.jpgApril 16, 2021
      icon_clock.jpg12noon EST
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      Brian Denton

      Dr. Brian Denton
      Department of Industrial and Operations Engineering
      Cross-appointment in the School of Medicine
      University of Michigan

      Brian Denton’s research interests are in data-driven sequential decision making and optimization under uncertainty with applications to medicine. He is Chair of the Department of Industrial and Operations Engineering and he has a cross-appointment in the School of Medicine at University of Michigan.  Before joining the University of Michigan he worked at IBM, Mayo Clinic, and North Carolina State University. He has co-authored more than 100 journal articles, conference proceedings, book chapters, and patents. He is past Chair of the INFORMS Health Applications Section, past Secretary of INFORMS, and past President of INFORMS.


       

      Abstract

      We used data-analytics approaches to develop, calibrate, and validate predictive models, to help urologists in a large state-wide collaborative make prostate cancer staging decisions on the basis of individual patient risk factors. The models we developed predict the probability a patient who receives radiographic imaging will have metastatic cancer. The models were developed using observational data for patients diagnosed with prostate cancer. We experimented with a variety of machine learning methods and compared their performance at predicting outcomes of imaging. The models were validated using statistical methods based on bootstrapping and subsequent evaluation on out-of-sample data. These models were used to design guidelines that seek to optimally weigh the benefits and harms of radiological imaging for detection of metastatic prostate cancer. The Michigan Urological Surgery Improvement Collaborative, a state-wide medical collaborative, implemented these guidelines, which were predicted to reduce unnecessary imaging by more than 40% and limit the percentage of patients with missed metastatic disease to be less than 1%. The effects of the guidelines were measured post-implementation to confirm their impact on reducing unnecessary imaging across the state of Michigan.

      Co-authors:
      Selin Merdan, Christine Barnett
      Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI
      James E. Montie, David C. Miller
      Department of Urology, University of Michigan, Ann Arbor, MI,
      Michigan Urological Surgery Improvement Collaborative, Ann Arbor, MI

      View webinar recording

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

      Model Serving and MLOps

      Event Info

      icon_calendar.jpgMarch 19, 2021
      icon_clock.jpg12noon EST
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      jack.jpg

      Dr. Diego Klabjan
      Professor, Northwestern University
      Director, Center for Deep Learning

      Dr. Diego Klabjan is a professor at Northwestern University, Department of Industrial Engineering and Management Sciences. He is also Founding Director, Master of Science in Analytics and Director, Center for Deep Learning. His research is focused on machine learning, deep learning and analytics (modeling, methodologies, theoretical results) with concentration in finance, insurance, sports, and bioinformatics. Professor Klabjan has led projects with large companies such as Intel, Baxter, Allstate, Anthem, and many others. He is also a co-founder of Videspan, LLC.

      Abstract

      Advanced analytics, in particular deep learning and real-time decision making, is ready to take the next step to transition to production and operations where MLOps and DevOps become crucial. Model serving, one of the most important part of MlOps, possesses unique challenges not present in training. We will discuss differences and challenges, and common solution principles and frameworks. You will learn the concepts of drift detection, monitoring, and feature stores. IoT use cases will be discussed

      View webinar recording

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

      Optimization: It’s Math and Psychology

      Event Info

      icon_calendar.jpgFebruary 19, 2021 
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      jack.jpg

      Jack Levis, retired senior director of engineering at UPS, will share his experiences and best practices to compete with analytics, requiring organizational support in the form of data, tools, and senior management commitment.

      Turning data into a business advantage through optimization is the goal of most organizations. The ever growing availability of data, along with expanding computing power and tools, opens the door to businesses gaining competitive advantage through analytical processes and skill. But, there is much more to making an impact than just creating advanced algorithms.  Organizations change is also essential.

      View Webinar Recording

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

      Media Manipulation in the 2020 Elections: Implications for National Security

      Event Info

      icon_calendar.jpgJanuary 22, 2021 
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      doug.jpg

      Douglas A. Samuelson is President and Chief Scientist of his own consulting company, InfoLogix, Inc.

      Elections have become increasingly driven by images, memes and social media messaging rather than policy statements.  We review some prominent examples from US Presidential campaigns and discuss how confusing and disruptive messaging was used.  We note how these methods could also be used to disrupt defense and intelligence networks and draw some lessons learned about how to increase national security.

      View Webinar Recording

      These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).

         

      Analytics for Infectious Disease Control

      Event Info

      icon_calendar.jpgOctober 9, 2020
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speakers


      Dr. Pinar Keskinocak,
      Director, Center for Health and Humanitarian Systems
      Georgia Institute of Technology
      INFORMS President

      julie-swann-profile-picture-01__002_.jpg

      Dr. Julie Swann,
      NC State University
      Edward P. Fitts Department of Industrial and Systems Engineering

      There has been a lot of progress in medicine and science in understanding and preventing infectious diseases over time; however, these diseases still threaten human health. A variety of prevention or intervention measures may be available, and it is important to understand which combination of these measures would be most impactful, when and where, particularly under resource limitations.  In this presentation we will provide examples on how operations research and analytics methods can  be used in supporting public health interventions for infectious diseases.

      View Webinar Recording

      These webinars are an initiative of the INFORMS Practice Section and organized by Dr. Patricia Neri (patricianerib@gmail.com) and Dr. Carrie Beam (carrie@carriebeamconsulting.com).

      We encourage the particpants to stay after the webinar to attend a 30-minute networking event. During the networking event, participants will have the opportunity to meet others and share their thoughts on the seminar and other analytics-related topics. The networking event will be moderated by Dr. Rajesh Tyagi.


      Supply Chain Resilience Through Planning and Design

      Event Info

      icon_calendar.jpgAugust 21, 2020
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speaker

      webinar_speakers.jpg

      Zahir Balaporia, CAP
      FICO Xpress Optimization

      Duncan Klett
      Kinaxis, Inc.

      The COVID pandemic demonstrated, yet again, the importance of supply chains and their susceptibility to disruption.

      This webinar will cover processes and technology for measuring and improving resiliency, as well as mechanisms  that allow organizations to respond with confidence in re-planning and execution, enabling a resilient supply chain.

      View Webinar Recording

      Please join us for a networking event after the webinar from 1:00-1:30 pm EDT.  No additional registration needed.  

      These webinars are an initiative of the INFORMS Practice Section and organized by Dr. Patricia Neri (patricianerib@gmail.com) and Dr. Carrie Beam (carrie@carriebeamconsulting.com).

      Inventory, Packages, Price Points and People: An Inside Look at Leading Technical People

      Event Info

      icon_calendar.jpgJuly 10, 2020
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speakers

      webinar_speakers.jpg

      Pallav Chhaochhria, PhD
      Director of Pricing Algorithms at Citi

      Pooja Dewan, PhD
      VP, Chief Data and Analytics Officer at Otis Elevator

      Mallory Freeman PhD
      Director of Data Science and Machine Learning at UPS

      Anne Robinson, PhD
      Chief Strategy Officer at Kinaxis

      How do the best geeks in the industry motivate and manage their technical teams? Hear from:

      • Pallav Chhaochhria, PhD
        Director of Pricing Algorithms at Citi
      • Pooja Dewan, PhD
        VP, Chief Data and Analytics Officer at Otis Elevator,
      • Mallory Freeman PhD
        Director of Data Science and Machine Learning at UPS
      • Anne Robinson, PhD
        Chief Strategy Officer at Kinaxis

      These webinars are an initiative of the INFORMS Practice Section and organized by Dr. Patricia Neri (patricianerib@gmail.com) and Dr. Carrie Beam (carrie@carriebeamconsulting.com).

      View webinar recording 

      There was also a networking chat directly after the webinar that was not recorded. Many of our participants are looking to hire, looking for jobs, looking to learn something new, or looking to make new connections.

      Blood, Sweat, and PPEs: Rescuing Perishable Product Supply Chains and Impacting Policy through Analytics

      Event Info

      icon_calendar.jpgJune 12, 2020
      icon_clock.jpg12noon EDT
      icon_stopwatch.jpgDuration: 1 hour

      Speaker

      Anna Nagurney Anna Nagurney
      University of Massachusetts Amherst and Supernetworks

      Professor Anna Nagurney is the John F. Smith Memorial Professor of Operations Management at the Isenberg School of Management at the University of Massachusetts Amherst and the Director of the Virtual Center for Supernetworks. She conducts research on various network systems, including perishable product supply chains, with applications in healthcare - blood supply chains and pharma supply chains, and to food.

      Anna is an INFORMS Fellow and a WORMS Award recipient. Her articles and books have been cited more than 17, 000 times according to Google Scholar. She is one of 44 women in STEM featured in STEM Gems book on inspiring role models by Stephanie Espy; see: http://stemgemsbook.com/stem-gems-book/

      In this webinar, Dr. Nagurney will talk about how this pandemic is affecting perishable product supply chains and how analytics can be used to determine the steps for recovery.

      View Webinar Recording

      This is the inaugural webinar of a series whose goal is to bring awareness of the value of applying analytics to real-world problems. These webinars are an initiative of the INFORMS Practice Section and organized by Dr. Patricia Neri (patricianerib@gmail.com) and Dr. Carrie Beam (carrie@carriebeamconsulting.com).