2015 Informs Annual Meeting

MD63

INFORMS Philadelphia – 2015

MD63 63-Room 112B, CC Daniel H. Wagner Prize Competition III Cluster: Daniel H. Wagner Prize Competition Invited Session

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, torkjazi@email.sc.edu 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, kalahl@rpi.edu, 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, muddin@cec.sc.edu, 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, philipp.rau@whu.edu, 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, torkjazi@email.sc.edu, 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.

Chair: Allen Butler, President & CEO, Daniel H. Wagner Associates, Inc., 2 Eaton Street, Hampton VA 23669, United States of America, Allen.Butler@va.wagner.com 1 - Machine Learning Framework for Predicting V accine Immunogenicity Eva Lee, Georgia Institute of Technology, Atlanta, GA, United States of America, eva.lee@gatech.edu 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, ebickel@utexas.edu 1 - 2015 Decision Analysis Student Paper Award

Canan Ulu, Assistant Professor, Georgetown University, McDonough School of Business, Washington, DC, 20057, United States of America, Canan.Ulu@georgetown.edu, 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, kevin.mccardle@anderson.ucla.edu 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, Frank@kochdecisions.com 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, ebickel@utexas.edu 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.

252