Informs 2015

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INFORMS Philadelphia – 2015
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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, , 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.
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,
1 - Introduction to Journal of Quality Technology (JQT)
Fugee Tsung, Prof., HKUST, Clear Water Bay, Kowloon,
Hong Kong - PRC,
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,
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,
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,
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, 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.,
1409 Huntington Dr, Richardson, TX, 75080,
United States of America,
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
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,
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%.
SD26
26-Room 403, Marriott
Industry Job Search Panel
Cluster: INFORMS Career Center
Invited Session
Chair: Warren Hearnes, cardlytics,
1 - Industry Job Search Panel
Moderator: Warren Hearnes, cardlytics,
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)..
SD27
27-Room 404, Marriott
MCDM in Agriculture
Sponsor: Multiple Criteria Decision Making
Sponsored Session
Chair: Jay Parsons, Associate Professor, University of Nebraska, 208A
Filley Hall, P.O. Box 830922, Lincolon, Ne, 68583-0922, United States
of America,
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,
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,
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.
SD27