2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
250
3 - Advances In Social Media Analytics For Ultra-low Latency
Fintech Applications
Martin M Spollen, Queen’s University, Belfast, BT9 5JX,
United Kingdom,
This presentation will discuss some recent advances in adaptive machine learning
designed to extract more reliable capital markets foresight from streaming social
media firehose data. Such techniques must keep pace with the rapidly evolving
human language used on social media and deliver outputs with a minimum of
latency for real time applications for Hedge Funds and High Frequency
Algorithmic Traders.
4 - Momentum In Social Media And Sale Performance After
Automobile Recalls
Yen-Yao Wang, Michigan State University, N204 Business College
Complex, East Lansing, MI, United States,
, Tawei Wang, Roger Calantone
Due to the unique nature of social media, many firms have turned their
attentions to social media to manage their recall campaigns. However, the role of
social media before and after recalls has not received a more detailed
examination. The purpose of this paper is to (1) assess the impact of social media
on customers’ attentions to US mid-size vehicle recalls, and (2) examine the role
of momentum in social media before and after the recall process. We obtained all
mid-size automobile recall events and supplemented with social media data on
customers’ discussions on defected vehicles and firms’ recall process from around
1,000 different social media platforms from 2010 to 2015.
TA49
211-MCC
Classroom Activities
Sponsored: Education (INFORMED)
Sponsored Session
Chair: Vincent Hargaden, Assistant Professor, University College Dublin,
209 Engineering & Materials Science Centre,, Belfield, 00000, Ireland,
1 - An Interactive Spreadsheet Based Game For Teaching Design Of
Experiments And Response Surface Methodology
Anthony Bonifonte, Georgia Institute of Technology,
Experimentation is a key feature of many scientific and engineering disciplines.
This presentation describes an interactive spreadsheet based game implemented in
a quality control course. The game is designed to simulate an industrial or
laboratory experimentation process and develops skills in design of experiments,
response surface methodology, optimization, and statistical analysis. The game is
appropriate for the undergraduate or masters level and relevant for any course
that teaches experimentation.
2 - Using Jupyter Notebook In The Operations Research Classroom
Nelson A Uhan, United States Naval Academy,
Jupyter Notebook is an interactive computational environment that allows you to
create documents that contain live code, text, equations, and visualizations. As a
result, Jupyter Notebook can be a very useful teaching and learning tool for
classes with a considerable emphasis on programming and computation. In this
talk, I will share my experience with using Jupyter Notebook in undergraduate
operations research classes, and discuss some of my plans for using it in the
future.
3 - Analysis And Design Of Discrete Material Flow Systems:
A Virtual Industrial Engineering Systems Pilot Laboratory
United States, , Leon McGinnis,
Timothy Sprock, George Thiers
In this project we redesigned a core undergraduate course that focuses on the
analysis and design of discrete material flow systems. We partnered with
MathWorks to use Matlab and created a virtual Industrial Engineering systems
lab; a suite of computational components that enable students to “experiment”
not just with the kinds of analytic models we routinely teach, but also with
computational models of versions of the systems they represent where the
simplifying assumptions are relaxed. This talk will illustrate samples of the
computational tools we developed and how they were integrated into the course
and utilized to enhance students’ understanding of the key concepts covered in
this course.
4 - Teaching Earned Value Analysis Using A Classroom-based
Dice Game
Vincent Hargaden, Assistant Professor, University College Dublin,
209 Engineering & Materials Science Centre, Belfield, Ireland,
Virpi Turkulainen
We describe the use and evaluation of a classroom based dice game to teach the
concept of Earned Value Analysis. A summary of the game and teaching materials
will be outlined. We describe how the perceived effectiveness of the game as a
teaching tool was measured among different cohorts of students.
TA50
212-MCC
SpORts: Sports Analytics Education
Sponsored: SpORts
Sponsored Session
Chair: Keith A Willoughby, University of Saskatchewan, 25 Campus
Drive, Saskatoon, SK, S7N 5A7, Canada,
1 - Bracketology: How Business Analytics Can Help You Fill Out
Your Bracket
Michael Magazine, University of Cincinnati,
This course is open to advanced undergraduates/graduate students with at least
one course in probability and statistics. It meets over three Saturdays -one each in
February, March and April. The course covers research papers that both
determine the probability that one team beats another and also how brackets
should be formed and filled out. One class is devoted to student teams acting as
the selection committee and justifying how they form brackets. Students and
instructors (I co-teach this with Paul Bessire, an ex-student who is founder of
) compete in a bracket challenge and prizes awarded to
the best performers. The last class has included visitors, like Joe Lunardi of ESPN.
2 - When Is It Ok Not To Score? Teaching Decision Analysis With The
Sport Of Curling
Keith A Willoughby, University of Saskatchewan, Saskatoon, SK,
Canada, , Kent J. Kostuk
The object of sports is to outscore your opponent. Curling is a winter team sport
popular in Canada, Europe, the northern United States and the Pacific Rim. In the
sport of curling, teams may encounter a crucial decision in the latter stages of the
game; namely, should they score a point (thereby providing last-shot advantage
to the opposition in subsequent stages of the game) or deliberately fail to score a
point (thus retaining last-shot opportunity in the next part of the match)? We
develop a model for this particular scenario that can be used to teach introductory
decision analysis.
3 - A Playbook For Teaching Sports Analytics To Undergraduate
Business And MBA Students
Scott Nestler, University of Notre Dame,
Last year, the presenter taught a half-semester length course (2 credits for MBA
students, 1.5 credits for undergraduates) in Sports Analytics for the first time at
the University of Notre Dame. Offensive plays — reaching out to faculty
members at other schools who had taught a similar course yielded many great
examples; allowing students freedom to use whatever tool or coding language
they were comfortable with for the course project. Defensive plays — selecting
Excel as a common language for class examples to account for difference in
technical preparation (may revisit for next semester with a more pro-style scheme
that incorporates R); using a known but somewhat dated text (Winston’s
“Mathletics”). Please come listen and your experiences in teaching quantitative
techniques using a subject matter that students are truly excited about.
TA51
213-MCC
Lifting up Populations
Sponsored: Public Sector OR
Sponsored Session
Chair: Feyza Guliz Sahinyazan, McGill University, Desautels Faculty
of Management, Montreal, QC, HA 1G5, Canada,
1 - Resilience-based Post-disaster Recovery Strategies For
Community Road-bridge Networks
Weili Zhang, University of Oklahoma, 202 W. Boyd St., Room 116,
Norman, OK, 73019, United States, ,
Naiyu Wang, Charles Nicholson
This paper presents a novel resilience-based framework to optimize the
scheduling of the post-disaster recovery actions for community road-bridge
transportation networks. Two metrics are proposed for measuring rapidity and
efficiency of the network recovery: the TRT is the time required for the network
to be restored to its pre-hazard functionality level, while the SRT is a metric
defined for the first time in this study to capture the characteristics of the
recovery trajectory that relate to the efficiency of those restoration strategies
considered. Based on this two-dimensional metric, we propose a restoration
scheduling method for optimal post-disaster recovery planning.
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