2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
471
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213-MCC
Education III
Contributed Session
Chair: Sinan Tas, Assistant Professor, University of Wisconsin-
Platteville, 1 University Plaza, Platteville, WI, 53818, United States,
1 - A Course Timetabling Problem In A University
Gulsah Hancerliogullari, Assistant Professor, Istanbul Technical
University, Macka Campus Faculty of Management, Istanbul,
Turkey, , Ozlem Pehlivan,
Emrah Koksalmis
Course timetabling has received much attention in the literature over the years.
Each university has specific constraints, rules and objective function. Therefore,
studies in the literature cannot be adapted to our course scheduling problem,
which motivates us to conduct this research. The course timetabling problem
involves assigning predetermined courses to available timeslots and classrooms.
The aim of this study is to develop a mathematical model to assign the courses of
each department to the propose timeslots for a week. We validate our model
using the data collected from the university, show that our model is tractable in
practice and can be solved in a reasonable amount of time.
2 - How To Advise Business Students Choose An Appropriate
Concentration?
Bhushan Kapoor, Professor and Chair, California State
University -Fullerton, Fullerton, CA, 92831, United States,
, Sinjini Mitra, Zvi Goldstein
We study Business students’ characteristics and factors they consider while
selecting a concentration, and how well they perform in their chosen
concentrations, via statistical tools and models. We look at some key demographic
and academic background characteristics such as age, ethnicity, GPA, and grades,
to determine which ones are important in these respects. Moreover, we conduct a
survey among students in three different concentrations in our College to
understand why they chose a certain concentration, and their experience. Our
proposed models will be used to advise future students for selecting suitable
Business concentrations, and can easily be adapted for other disciplines as well.
3 - Creative Storytelling And Choreography For Senior Design
Elif Akcali, University of Florida, Dept of Industrial and Systems
Engineering, 303 Weil Hall PO Box 116595, Gainesville, FL,
32611-6595, United States, , Tzveta Kassabova,
Tom Hart, Leela Corman
Creative Storytelling and Choreography Lab was developed to teach some
creative processes to industrial and systems engineering students to help them
develop engaging and informative presentations to communicate goals,
execution, and results of engineering projects to engineering and general
audiences. Throughout the semester, students were systematically introduced to a
host of tools for creative processes in graphic and performance arts by a multi-
disciplinary instructor team were asked to utilize these tools to develop and
deliver engaging narratives in the form of graphic stories or dance works.
4 - Applying Gamification In Engineering Classrooms
Sinan Tas, Assistant Professor, University of Wisconsin - Platteville,
1 University Plaza, Platteville, WI, 53818, United States,
Gamifying classrooms can make your classes more interesting, fun, and engaging.
In this talk, I will provide an example of gamification, a game called “SPOT-it!”,
which consists of four mini games: Spy it!, Pop it!, Operate it! and Top it! I will
also discuss the additional benefits of gamification including participation,
classroom management, and grading.
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214-MCC
Planning for Humanitarian Operations
Sponsored: Public Sector OR
Sponsored Session
Chair: Gina Galindo, Universidad del Norte, Universidad del Norte,
Barranquilla, 111, Colombia,
1 - Using Mobile Clinics To Address Equity In Pharmaceutical Supply
Chains In Low-resource Settings
Rajan Batta, University at Buffalo (SUNY), Buffalo, NY,
United States, , Biplab Sudhin Bhattacharya
Low-resource rural settings are challenged with sparse drug availability at
medicine outlets. Medicine outlets, being cash constrained, are strapped to keep
up with demand. This results in people from the served community having to
commute from one provider to another to avail the required drugs. A mobile-
outlet location-tour model can address this issue. The first phase of the model
identifies optimal candidate locations to maximize equitable coverage and the
second phase is to identify an optimal closed loop for minimize distance travelled
by the mobile-outlet.
2 - A Multi-modal Vehicle Routing Model For Post-disaster Relief
Supply In Inaccessible Mountainous Regions
Abhinav Khare, University at Buffalo (SUNY), Buffalo, NY,
United States, Rajan Batta, Jee Eun Kang
Earthquake in mountainous regions pose a great logistics challenge for the relief-
providing agencies. A large part of the affected population is located in remote
areas putting pressure on the humanitarian community to design a response
enabling access to these areas. We present a multi-modal vehicle routing model
for such a scenario. In our model, we supplement regular air transport with
porters/animal packs for last mile deliveries to villages accessible only by
mountain trails. The helicopters carrying relief are routed through the Helicopter
Landing Zones which form the depots for the porters performing last mile
delivery. The model is tested on data collected from the 2015 Nepal earthquake.
3 - Contending With Material Convergence After A Disaster
Impacting Nashville, Tennessee: An Optimal Donations
Information Management System
Miguel Jaller, University of California Davis,
Jose Holguin-Veras, Luk N Van Wassenhove, Johanna Amaya
This presentation discusses an optimal donations information management
system to contend with unsolicited donations after a large disaster impacting
Nashville, Tennessee. The analyses are based on empirical disaster donation
generation models, and a mathematical formulation that minimizes total social
costs.
4 - Searching For Entities Under Dynamic Emergencies
Gina Galindo, Universidad del Norte, ,
Jose Betancourt
In this research we address the problem of searching for a missing entity under an
emergency or disaster setting. Our problem considers events such as wildfires,
with dynamic affected regions where some areas gradually become consumed by
the event. We approach the problem by means of a bi-objective model which
seeks to maximize the probability of finding the missing entity while trying to
cover as soon as possible those areas in risk of becoming consumed by the event.
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Music Row 1- Omni
Business Applications in Social Media Analytics
Contributed Session
Chair: Oscar Albeiro Herrera-Restrepo, PhD Industrial and Systems
Engineering, Virginia Tech, 4339 Taney Avenue, Apt 401, Falls Church,
VA, 22304, United States,
1 - The Impact Of Implementing Full Capacity Protocol On The
Operational Performance In An Emergency Department
Lu Wang, PhD Student, University Of Kansas, 2406 Alabama St
Unit 7C, Lawrence, KS, 66046, United States, ,
Mazhar Arikan, Suman Mallik
Full capacity protocol (FCP) is a set of guidelines that coordinates the patients
flow when the emergency department (ED) is overcrowded. Utilizing data from a
large urban teaching hospital, we show that the operational performance of the
study ED is improved after the implementation of FCP. Furthermore, we find
additional improvement when the FCP is triggered. We propose
recommendations to further improve the operational outcomes under FCP.
2 - Dynamic Time Warping For Cold Start Problems In Digital
Advertising
Pavan Murali, Research Scientist, IBM Research, 1101 Kitchawan
Road, Rt 134, 04-024, Yorktown Heights, NY, 10598,
United States,
In digital advertising, a real-time decision has to be made to bid on a set of ad
impressions daily to reach as much of the audience group as possible, while being
restricted by the daily campaign budget. When a new campaign begins, there is
insufficient information about click or conversion events to optimize budget
allocation. We propose dynamic time warping algorithm to compare temporal
characteristics of two campaigns to identify a similar campaign with significantly
more data, which can serve as a proxy to estimate win and conversion rates and
to optimize temporal budget allocation.
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