Informs 2015

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INFORMS Philadelphia – 2015
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MD63
63-Room 112B, CC
Daniel H. Wagner Prize Competition III
Cluster: Daniel H. Wagner Prize Competition
Invited Session
Chair: Allen Butler, President & CEO, Daniel H. Wagner Associates,
Inc., 2 Eaton Street, Hampton VA 23669, United States of America,
1 - Machine Learning Framework for Predicting V
accine Immunogenicity
Eva Lee, Georgia Institute of Technology, Atlanta, GA,
United States of America,
The ability to better predict how different individuals will respond to vaccination
and to understand what best protects individuals from infection greatly facilitates
developing next-generation vaccines. We present a general-purpose, machine-
learning framework for discovering gene signatures that can predict vaccine
immunity and efficacy. Our models offer unique features not found in other
models simultaneously. We will describe the implemented results for yellow fever
and influenza vaccines, and highlight their implications for public health and
precision medicine.
MD64
64-Room 113A, CC
Decision Analysis Society Awards Session
Sponsor: Decision Analysis
Sponsored Session
Chair: Eric Bickel, Associate Professor & Director, OR&IE,
U. of Texas at Austin, ETC 5.128C, Austin, TX,
United States of America,
1 - 2015 Decision Analysis Student Paper Award
Canan Ulu, Assistant Professor, Georgetown University,
McDonough School of Business, Washington, DC, 20057,
United States of America,
Robert Hammond
The Student Paper Award is given annually to the best decision analysis paper by
a student author, as judged by a panel of the Decision Analysis Society of
INFORMS. Students who did not complete their Ph.D. prior to May 1, 2014 are
eligible for this year’s competition.
2 - 2015 Decision Analysis Publication Award
Kevin Mccardle, Professor, UCLA, Los Angeles, CA,
This award is given annually to the best decision analysis article or book
published in the second preceding calendar year (i.e. calendar year 2013 for
consideration in 2015). The intent of the award is to recognize the best
publication in “decision analysis, broadly defined.” This includes, but is not
limited to, theoretical work on decision analysis methodology (including
behavioral decision making and non-expected utility theory), descriptions of
applications, and experimental studies.
3 - Practice Award
Frank Koch, Consultant, 2510 Cleveland St, Eugene, OR, 97405,
United States of America,
The Decision Analysis Practice Award is awarded to the best example of decision
analysis practice as judged by the Decision Analysis Practice Award Committee.
The purpose of the award is to publicize and encourage outstanding applications
of decision analysis practice. We will present the finalists and this year’s winner.
4 - 2015 Ramsey Medal Award
Eric Bickel, Associate Professor & Director, OR&IE, U. of Texas at
Austin, ETC 5.128C, Austin, TX, United States of America,
The Ramsey Medal of the Decision Analysis Society is awarded for distinguished
contributions in decision analysis. Distinguished contributions can be internal,
such as theoretical and procedural advances in decision analysis, or external, such
as developing or spreading decision analysis in new fields. We will introduce the
2015 Ramsey Medal winner, followed by a presentation by the winner.
MD65
65-Room 113B, CC
Freight Transportation
Contributed Session
Mohammad Torkjazi, PhD Student, University of South Carolina,
620 Heidt St Apt 1, Columbia SC 29205, United States of America,
1 - An Optimization Model to Assess Freight Movement between
Rail and Road
Lokesh Kalahasthi, Research Assistant, Rensselaer Polytechnic
Institute, 110 8th Street, Room JEC 4027, Troy, NY, 12180,
United States of America, , Trilce Encarnacion
The goal of the paper is to obtain an optimization model that gives a freight traffic
assignment on a combined network of road and rail; that could be used to assess
the freight modal split including vehicle types and intermodal transfers. The
challenge is to incorporate various constraints shippers, carriers and receivers face
in using rail and truck; such as shipment size restrictions, transfer time
restrictions, variations in the costs, etc. The goal is to obtain insights into
methodologies.
2 - A Routing Model for Multicommodity Multimodal Freight
Shipment under Network Disruptions
Md Majbah Uddin, Graduate Research Assistant, University of
South Carolina, 300 Main Street, Civil and Environmental
Engineering, Columbia, SC, 29208, United States of America,
Nathan Huynh
This study proposes a model to route multicommodity shipments on an
intermodal freight transport network, where network elements are subject to
unexpected disruptions. A stochastic mixed integer program is formulated which
minimizes not only operational costs but also penalty cost of unmet demand. To
solve this model, sample average approximation algorithm is utilized. Numerical
tests reveal that the model is capable of finding high quality solutions for a large-
scale, real-world network.
3 - Container Shipping Alliances: A Cooperative Game
Theory Simulation
Philipp Rau, WHU - Otto Beisheim School of Management,
In den Hüfen 5, Wehr, 79664, Germany,
Stefan Spinler
Overcapacity and pressure on margins are keeping the container shipping
industry’s environment challenging. This has led carriers to enter vessel sharing
agreements and alliances, resulting in a quasi-consolidation. To address the
investment problem in an industry that has moved to a more cooperative setting,
we develop a cooperative game theory simulation model. We assess impact of
competitive intensity and investment heuristics on industry capacity, alliance
stability, and carrier financials.
4 - How Drayage Schedule Affect the Gate Appointment System at
Container Terminals
Mohammad Torkjazi, PhD Student, University of South Carolina,
620 Heidt St. Apt. 1, Columbia, SC, 29205, United States of
America, , Nathan Huynh
The lack of good communication between drayage companies and container
terminals is one of the contributing causes for long queues at the terminal gates.
To improve the communication process, a comprehensive model of this process is
required. This study proposes a mathematical formulation which reflects the
process of communication from the view of both sides in detail. Also, a three-step
algorithm is proposed to solve the model and tested on hypothetical problems of
different sizes.
MD63