2015 Informs Annual Meeting

SD27

INFORMS Philadelphia – 2015

4 - Gaussian Limits for Many-server Queues with Arrival Dependent Services Guodong Pang, Assistant Professor, Penn State University, 363 Leonhard Bldg, University Park, PA, 16802, United States of America, gup3@engr.psu.edu, Yuhang Zhou We consider many-server queues whose service time distributions depend on the arrival times. We prove heavy traffic limits for the queue length processes in the many-server regimes. We obtain Gaussian approximations for the transient distributions of queue lengths in these systems.

the network. 3 - Inferring Demographic Attributes of Users from Web Browsing History Satish V, Sr. Data Scientist, Maxpoint Interactive, 3020 Carrington Mill Blvd, Morrisville, United States of America, vsatish@gmail.com Demographic information such as gender, age, income etc. of online users can make digital advertisements more personalized to users. However, such information not available when advertising through online ad exchange networks. In this talk we present a probablistic framework to infer these demographic data using aggregate domain-level data and user-level web browsing behavior. Simulation and validation using ground-truth data showed the model accuracy to be over 80%. Industry Job Search Panel Cluster: INFORMS Career Center Invited Session Chair: Warren Hearnes, cardlytics, whearnes@cardlytics.com 1 - Industry Job Search Panel Moderator: Warren Hearnes, cardlytics, whearnes@cardlytics.com, Panelists: Adam McElhinney, Beverly Wright, Aly Megahed Do you have an interest in applying your analytical skills in industry? Come learn more about the process for landing that opportunity and what it’s like to work as an operations research practitioner. The panelists will discuss their perspectives on the industry job search/interview process, typical roles and expections for a practitioner, as well as give advice and answer questions from the audience based on their experience in a variety of verticals such as marketing, manufacturing, fin-tech, consulting, and private research. Panelists include Adam McElhinney, Director of Data Science at Uptake (Chicago), Dr. Aly Megahed, Research Staff Member at IBM Research (San Francisco), and Dr. Beverly Wright, Managing Director of the Business Analytics Center at Georgia Tech (Atlanta). The panel is moderated by Dr. Warren Hearnes, Vice President of Analytics & Data Sciences at Cardlytics (Atlanta).. Chair: Jay Parsons, Associate Professor, University of Nebraska, 208A Filley Hall, P.O. Box 830922, Lincolon, Ne, 68583-0922, United States of America, jparsons4@unl.edu 1 - An Overview of Multi-criteria Decision Making Methods Applied to Agricultural Problems Jay Parsons, Associate Professor, University of Nebraska, 208A Filley Hall, P.O. Box 830922, Lincolon, Ne, 68583-0922, United States of America, jparsons4@unl.edu Examples of multiple criteria decision making in agriculture abound over many years and many topics including but not limit to: land use decisions; genetic selections; environmental trade-off assessments; irrigation applications; crop rotation analysis; and, risk-return trade-off analysis. This presentation will provide an overview of MCDM applied to agriculture with a focus on recent publications with the hope of stimulating conversation and future MCDM research in agriculture. 2 - Intensive Dairying vs. Dairy Farm Eco-Efficiency: A Study with DEA and Structural Equation Modeling Andreas Soteriades, PhD Student, Scotland’s Rural College, SRUC, King’s Buildings, West Mains Road, Edinburgh, EH9 3JG, United Kingdom, Andreas.Soteriades@sruc.ac.uk, Philippe Faverdin, Alistair Stott We studied the relationship between the eco-efficiency (EE), intensification (I) and autonomy (A) of French specialized dairy farms. We created composite EE, I and A indicators with Life Cycle Analysis, Data Envelopment Analysis and Structural Equation Modeling. The results showed a significant negative relationship between EE and I; and an insignificant one between EE and A. Our findings suggest that intensive dairy production might not compromise the environment. SD26 26-Room 403, Marriott SD27 27-Room 404, Marriott MCDM in Agriculture Sponsor: Multiple Criteria Decision Making Sponsored Session

SD24 24-Room 401, Marriott Meet the Editors Cluster: Globalization and International Activities Invited Session

Chair: Grace Lin, Data Analytic Technology and Applications (DATA), Data Analytic Technology and Applications (DATA), Taipei, Taiwan - ROC, gracelin@iii.org.tw 1 - Introduction to Journal of Quality Technology (JQT) Fugee Tsung, Prof., HKUST, Clear Water Bay, Kowloon, Hong Kong - PRC, season@ust.hk JQT is the flagship journal published by American Society for Quality (ASQ); JQT has been one of the most cited journals in the areas of industrial engineering, management science, and statistics. 2 - Introduction to Journal of Industrial and Production Engineering Kuo-Hao Chang, National Tsing Hua University, Hsinchu, Taiwan, China, chang@mx.nthu.edu.tw Journal of Industrial and Production Engineering (JIPE) is an international, refereed journal devoted to the publication of high quality research contributions for the industrial engineering community. Its scope includes Operations Research and Soft Computing, Quality and Applied Statistics, Manufacturing Automation and e-Business, Human Factors and HCI, Information Technology and Management, Industrial Technology and Management, Product Lifecycle Management, Production and Operations Management. 3 - Some Facts about the European Journal of Operational Research (EJOR) Roman Slowinski, Prof., Poznan University of Technology, Pl. Marii Sklodowskiej-Curie 5, Poznan, PL, 60-965, Poland, roman.slowinski@cs.put.poznan.pl The Coordinating Editor of EJOR will give some characteristics of the journal, and will explain the editorial approach to evaluation and selection of articles. He will also point out topics of OR which recently raised the highest interest. SD25 25-Room 402, Marriott Online Search, Social Network and Advertisement Sponsor: Information Systems Sponsored Session Chair: Harpreet Singh, University of Texas at Dallas, 800 West Campbell Road, Richardson, United States of America, Harpreet@utdallas.edu 1 - Distances and Brands: An Empirical Analysis of Mobile Local Search Yi-jen Ho, PhD Candidate, University of California, Irvine, Merage School of Business, Irvine, CA, 92617, United States of America, hoy1@uci.edu, Sanjeev Dewan In this paper, we study mobile local search, focusing on user click-through behavior as a function of distance, search rank and brand popularity. We implement a hierarchical Bayes model on a unique data of local search data from a major mobile carrier. We find CTR is positively related to brand popularity, search rank and screen position (e.g., above or below the scroll) while negatively related to distance. 2 - A Dynamic Social Network Advertisement Allocation in a Fuzzy Multi-Segmented Environment Yingying Kang, Principal Or Consultant, Sabre Inc., Advertisement is a major contribution to the revenue of social network sites. Therefore, how to optimally allocate the advertisements in the social network is significant. Advertisers tend to post ads on highly influential sites with no fixed schedule, which adds the complexity in managing the advertiser segmentation. This presentation introduces a dynamic advertisement allocation model based on the fuzzy multi-advertiser segmentation and generates the maximum revenue for 1409 Huntington Dr, Richardson, TX, 75080, United States of America, eing.008@gmail.com

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