2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016

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3 - Conic Optimization Model For Replicated Data Stores In Geo- distributed Cloud Applications Julio Cezar Goez, NHH Norwegian School of Economics, Bergen, Norway, jgoez1@gmail.com, Juan F. Pérez We consider a software application provider that serves geographically distributed users using cloud resources. The application provides a service to access content via a set of channels, and it must comply with a certain quality of service (QoS). The provider must decide where to locate and how to replicate the data considering traffic patterns. The goal is to find the deployment of minimum cost. We introduce a mixed integer non-linear optimization model, which may be reformulated as a mixed integer second order cone optimization problem. In many of our test instances CPLEX reaches the time limit without feasibility. We developed a feasibility test that also provides an initial feasible solution. 4 - Large Scale Dynamic Network Revenue Management With Application In Pricing Of Interactive Cloud Applications Hossein Jahandideh, UCLA Anderson School of Management, 3777 Mentone Avenue, Apt 405, Los Angeles, CA, 90034-6473, United States, hs.jahan@gmail.com, Julie Ward, Filippo Balestrieri We consider a cloud provider making customized dynamic pricing decisions for hosting interactive applications. The dynamic pricing problem is a large-scale dynamic network revenue management problem. We decompose the stochastic dynamic program into single-resource problems by exploiting structural properties of the optimal Lagrangian variables, removing the necessity for an extensive search over Lagrangian variables. We define a pricing mechanism based on the solution to the decomposed problem, and demonstrate its effectiveness through several numerical experiments. 210-MCC Social Media Analytics Award Session Invited: Social Media Analytics Invited Session Chair: Tauhid Zaman, MIT, 77 Massachusetts Ave, Boston, MA, 0, United States, zlisto@gmail.com 1 - Social Media Analytics Best Student Paper Award Tauhid Zaman, MIT, Atlanta, GA, zlisto@gmail.com Presentations by the finalists in the Social Media Analytics Best Student Paper Award Contest. 211-MCC Panel: First Course in Analytics or Only Course in Analytics – What Difference Does It Make? Sponsored: Education (INFORMED) Moderator: Thomas G Groleau, Carthage College, Kenosha, WI, United States, tgroleau@carthage.edu 1 - Exploratory Questions Thomas G Groleau, Carthage College, tgroleau@carthage.edu The moderator will explain the purpose of the panel, provide examples from other disciplines, and propose a few questions to the panel to get the discussion started. 2 - Panelist: Peter C Bell, Ivey Business School at Western University, Canada, pbell@ivey.uwo.ca 3 - Panelist: Jeffrey D Camm, Wake Forest University, cammjd@wfu.edu 4 - Panelist: Dimitris Bertsimas, Massachusetts Institute of Technology, dbertsim@mit.edu 5 - Panelist: Robert Krider, Professor, Simon Fraser University, Vancouver, BC, Canada, rkrider@sfu.ca TD49 TD48

212-MCC SpORts: Sports Analytics II

Sponsored: SpORts Sponsored Session

Chair: Stephen Hill, University of North Carolina-Wilmington, 601 South College Road, Wilmington, NC, 28403-5611, United States, hills@uncw.edu 1 - Breaking The Chill Of The Tie In The National Hockey League Marty Thomas, Georgia Gwinnett College, athomas1@ggc.edu In order to increase fan excitement in overtime periods, the National Hockey League changed the point structure of the overtime period (winner receives 2 points and the loser receives 1 point). However, tied games now had more points associated with them (regulation win = 2 points; regulation loss = 0 points). This research explores the implications of a soccer point system (3 points = regulation win; 2 points = overtime win; 1 point = overtime loss). The Real Time Scoring System is used to develop probability distributions of goal production for each of the 30 NHL teams. Monte Carlo simulation is used to determine whether the new point system benefits certain teams over others in terms of making the playoffs? 2 - The Advantage Of Lefties In Sports Hal Cooper, PhD Candidate, Columbia University, 500 West 120th Street, Rm. 345, Mudd, New York, NY, 10027, United States, hal.cooper@columbia.edu, Francois Fagan, Martin B Haugh Left-handers comprise a staggering 15% of professional tennis players, but only 11% of the general population. In sports as varied as boxing, baseball and fencing, the contrast is even more stark. Here we present a method for extracting the advantage of being left-handed in sports (as well as the inherent skill of each player) from match results. Unlike previous approaches to this problem, our formulation is Bayesian and uses induced order statistics to address the truncated nature of the data set. We further demonstrate an approach in the absence of explicit match result data that can be used to determine the latent advantage of specific factors wherever there exists notions of ranking and competition. 3 - The Optimal Value Bill James’ Pythagorean Method For Major League Lacrosse Hayden Howell, University of Alabama, Culverhouse College of Commerce and Business Administration, Tuscaloosa, AL, 35487- 0226, United States, hphowell@crimson.ua.edu, James Cochran Bill James’ Pythagorean Method of Baseball, which quantifies the nature of the relationship between the win/loss percentage of a Major League Baseball (MLB) team and the number of runs the team scores and allows over the course of a season, is extended to Major League Lacrosse (MLL). We find the optimal form of James’ model using both the squared and the absolute error criteria over a broad range of algebraic possibilities. We also examine the stability in the relationship between win/loss percentage and runs scored and allowed over time. 4 - Determining The Optimal Locations For Indoor Tennis Camps In Canada Islay Wright, University of Toronto, 1, Toronto, ON, Canada, islay.wright@mail.utoronto.ca, Timothy Chan Winter tennis camps are often inaccessible for Canadians due to the high rental costs of indoor tennis facilities. To increase the involvement of youth in tennis, it is important to make camps available year-round at a reasonable price. Tennis Canada wants to evaluate holding tennis camps at indoor turf stadiums instead of at indoor tennis facilities. To help them, we developed a location model to optimize camp locations, using demand estimates generated by a logistic regression model and data from surveys and census.

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213-MCC Models of Influence and Optimal Response Sponsored: Public Sector OR Sponsored Session

Chair: Theodore T Allen, Ohio State University, 210 Baker Systems Engineering, 1971 Neil Avenue,, Columbus, OH, 43210, United States, allen.515@osu.edu 1 - The Role Of Peer Influence On Vaccine Uptake In A Pandemic Disease Spread Model Kevin Chan, University of Toronto, Toronto, ON, Canada, kevinm.chan@mail.utoronto.ca, Dionne Aleman Most pandemic spread models that consider vaccination assume vaccine adopters are evenly spread across the population. However, evidence suggests vaccine adoption is peer-influenced. Treating populations as contact networks with vaccination determined by influence-spread models, we analyze pandemic outcomes using agent-based simulation. Far more infections occur with peer- influenced v. uniformly-spread vaccination.

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