2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
332
5 - On The Benefit (or Cost) Of Large-scale Bundling
Tarek Abdallah, New York University,
We study the effectiveness of a simple bundling mechanism in extracting the
consumer surplus in the presence of non-negative marginal costs and correlated
valuations. We develop simple robust analytics that identify the main drivers for
the effectiveness of the pure bundling mechanism and allow the sellers to easily
quantify the potential profits of a large-scale bundling mechanism relative to
more complicated selling mechanisms. Our numerical simulations show that
these analytics provide high predictive power for the true performance of the
bundling mechanism and are robust to different parametric assumptions even for
relatively small bundles.
TC89
Broadway C-Omni
Applications of Optimization and Control Theory in
Traffic Management
Sponsored: TSL, Intelligent Transportation Systems (ITS)
Sponsored Session
Chair: Xiaozhang He, Purdue University, 1, West Lafayette, IN, 47906,
United States,
1 - On The Equity Issue Of Taxi Market Under A Centralized
Recommendation System
Xinwu Qian, Purdue University, West Lafayette, IN, United States,
, Xianyuan Zhan, Sattish Ukkusuri
The lack of perfect information between passengers and drivers is the main cause
of the taxi system inefficiency, and having a centralized recommendation system
will effectively address this inefficiency. In this study, we model the taxi market
with centralized recommendation system, with the objective to minimize the
income differences among taxi drivers. The model aims to address the equity issue
related to income variance, which helps to improve the stability of the taxi
market. We first prove that the problem is NP-hard, and we propose a meta-
heuristic algorithm to solve the large-scale real world case efficiently.
2 - Feedback-based Traffic Signal Perimeter Control For Urban
Networks Under special Traffic Events
Jiawen Wang, Tongji University, School of Transportation
Engineering, Shanghai, China, ,
Xiaoguang Yang, Xiaozheng He, Srinivas Peeta
This study develops a proportional-integral-derivative controller for traffic signal
perimeter control to maximize the throughput of urban networks under special
traffic events. The proposed control strategy applies the notion of macroscopic
fundamental diagram to dynamically estimate the control targets. Numerical
examples are constructed to investigate the benefits of the proposed control
strategy in improving the traffic mobility when special traffic events occur.
3 - Simulation-based Optimization With AdaptiveSampling Strategy
For Network-wide Traffic Management And Control
Shubham Agrawal, Purdue University, West Lafayette, IN, 47907,
United States, , Xiaozheng He, Ragu
Pasupathy, Srinivas Peeta
This study develops a simulation-based optimization model to address network-
wide traffic management and control problems under a tight computational
budget by applying an adaptive sampling strategy. The proposed model is suitable
to solve traffic management and control problems, which can determine traffic
signal timing, route guidance, and ramp metering simultaneously. Numerical
results are used to illustrate the efficiency of the adaptive sampling strategy in
enhancing the performance and reliability of traffic management and control
systems in operational context.
TC90
Broadway D-Omni
Logistics, Humanitarian
Contributed Session
Chair: Behnam Malmir, Kansas State University, 2034 Durland Hall,
1701A Platt street, Manhattan, KS, 66506, United States,
1 - Human Trafficking: Opportunities For Operations Research And
Management Science
Renata Alexandra Konrad, Worcester Polytechnic Institute,
School of Business, 100 Institute Road, Worcester, MA, 01609,
United States,
This talk highlights how OR/MS techniques can be used to address the growing
issue of human trafficking. We provide insights into the unique challenges and
opportunities for the OR/MS community and suggest development areas. We
present a case study of victim shelter location in Nepal and share our experiences
in working in this field.
2 - Pre-disaster Unmanned Air Vehicle Base Location & Routing For
Road Damage Assessment & Search & Rescue
Seyyed kian Farajkhah, Cankaya-Middle East Technical University,
Universiteler, Dumlupinar, Bulvari No1, Ankara, 06800, Turkey,
we consider the problem of locating UAV bases in anticipation of alarge-scale
disaster in an urban propose a two-stage stochastic
programming approach for this problem, where first-stage decisions consist of
base locations and UAV routes, and the second-stage is comprised of assigning
these ambulances to different demand point and hospitals. Using small-sized
instances, we aim to analyze the structure of the optimal solutions and use the
results of this analysis to develop a heuristic approach for larger instances.
3 - Impact Of Patient Centered Discharge On Quality Of Life And
Readmission Rates For Kidney Transplant Recipients
Aravind Chandrasekaran, The Ohio State University, 600 Fisher
Hall, 2100 Neil Avenue, Columbus, OH, 43210, United States,
, Luv Sharma, Gopesh Anand
This study looks at the impact of a patient centered discharge process in
improving the quality of life and readmission rates for kidney transplant
recipients. This three year study was conducted at a large teaching hospital in the
Midwest and involved designing and implementing a new patient centered
discharge process with inputs from patients and caregivers. Initial results
demonstrate a 15% reduction in readmission rates post implementation of the
new discharge process. A comparable improvement in readmission rate is also
observed when compared to a control group comprised of other types of
transplant patients.
TC94
5th Avenue Lobby-MCC
SIMIO/Neusrel
Technology Tutorial
1 - New Innovations: Cloud Computing, Real-Time Scheduling,
Healthcare, And More
Claude Dennis Pegden, CE/Founder, Simio LLC, Sewickly, PA,
United States, , Renee Thiesing
Simio now leverages the cloud computing power of Microsoft Azure to support
your most demanding applications; compatibility with Schneider Electric’s
Wonderware to allow detailed production scheduling with real-time data and risk
analysis; and healthcare and other capabilities in the services field. Outside our
immense technology partner advances, we have great new features, application
areas and capabilities! Come explore an overview of the new Simio experience
and see why we are always “Forward Thinking.”
2 - NEUSREL - Success Drivers
David Buckler, Neusrel, Chantilly, VA, United States,
NEUSREL is self-learning causal analysis software and leverages Advanced
Machine Learning techniques. It builds cause-effect networks (path models) in
order to understand the impact and role of success factors. The software is the
only solution worldwide that is able to explore unexpected nonlinearities and
unexpected interactions - a capability that not only lead to largely increased
explanation power but turned out to be crucial when understanding true key
drivers of outcomes. The software is applied in all fields were many factors drives
a particular outcome and therefore it is not clear how important those are and
how they interact.
TC89