Informs 2015

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INFORMS Philadelphia – 2015
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MA31
31-Room 408, Marriott
Retail Analytics
Sponsor: Data Mining
Sponsored Session
Chair: Matthew Lanham, Doctoral Candidate, Virginia Tech, Dept of
Business Information Technology, Blacksburg, VA, 24061, United States
of America,
1 - Assortment Planning for Consumers Learning their Tastes
Canan Ulu, Assistant Professor, Georgetown University,
McDonough School of Business, Washington, DC, 20057,
United States of America,
Dorothee Honhon
We study a firm that offers novel products to consumers who do not have set
preferences. Consumers try different products to learn which product suits their
tastes better.
2 - Optimal Stocking Decisions in a Multi-channel Retail Environment
Nevin Mutlu, PhD Candidate, Virginia Tech, Department of
Industrial and Systems Eng, Blacksburg, VA, 24061, United States
of America, , Ebru Bish, Erick Wikum
As traditional brick-and-mortar retailers are expanding their sales channels to
online and mobile channels, consumer adoption rates of these emerging channels
is increasing over time. We develop a novel, dynamic demand model, and
integrate it within an optimization model to understand the implications of this
dynamic environment on the retailers’ optimal stocking decisions considering
different products and different market settings.
3 - Inventory Mirroring in a Heterogeneous Network
Zhiwei (Tony) Qin, Staff Data Scientist, Walmart Labs,
850 Cherry Ave, San Bruno, CA, 94066, United States of
America,
Inventory mirroring determines how many fulfillment centers (FC) and where
each stock-keeping unit (SKU) should be stocked. Optimizing inventory mirroring
is necessary when the FCs have SKU count limits. We propose an approximate
inventory mirroring algorithm for a heterogeneous network, where the
fulfillment centers (FC) have different capacities and SKU type eligibilities. We
present analysis results of the output to validate the effectiveness of algorithm.
4 - Parameter Estimation Procedures for a Hierarchical Assortment
Planning Decision
Matthew Lanham, Doctoral Candidate, Virginia Tech, Dept of
Business Information Technology, Blacksburg, VA, 24061, United
States of America, , Ralph Badinelli
Estimating a consumer’s propensity to purchase a product as well as their
substitution behavior are critical parameters to a retailer’s assortment decision.
We investigate the methodologies used to understand consumer demand,
substitution behavior, and formulate a novel approach that could be used
strategically in a hierarchical assortment planning decision model.
MA32
32-Room 409, Marriott
George B. Dantzig Dissertation
Cluster: George B. Dantzig Dissertation
Invited Session
Chair: Nils Rudi, INSEAD, 1 Ayer Rajah Avenue, Singapore, 138676,
Singapore,
1 - Robust Optimal Control for Medical Treatment Decisions
Yuanhui Zhang, NC State, Raleigh, NC, United States of America,
In this dissertation, we develop a new data-driven robust stochastic optimization
model for optimizing medical treatment decisions. We present computationally
efficient methods for solving this model and theoretical analysis of the optimal
policies. We illustrate the application of this model for optimizing treatment
decisions for patients with type 2 diabetes and show that robust optimal policies
could potentially provide guidance for clinicians and policy makers to make
treatment decisions.
2 - Integrated Allocation and Utilization of Airport Capacity to
Mitigate Air Traffic Congestion
Alexandre Jacquillat, PhD Candidate, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Building E40-240,
Cambridge, MA, 02116, United States of America,
This thesis jointly optimizes airport operating procedures at the tactical level and
flight scheduling interventions at the strategic level for congestion mitigation. It
relies on an original modeling architecture that integrates an Integer
Programming scheduling model, a Dynamic Programming operational model and
a Stochastic Queuing Model of congestion. Results suggest that operating
enhancements and limited, targeted scheduling adjustments can significantly
reduce delays at busy airports.
3 - Design and Analysis of Matching and Auction Markets
Daniela Saban, Stanford University, 655 Knight Way, Stanford,
CA, United States of America,
Auctions and matching mechanisms have become an increasingly important tool
for planners to allocate scarce resources among competing individuals or firms.
This thesis addresses several questions that arise when designing and analyzing
such markets. For example, we design auctions to construct catalogs of goods for
government use, and matching mechanisms that can potentially be used to
handle appeals in the public school assignments of thousands of incoming high
school students.
MA33
33-Room 410, Marriott
Policymaking in Public Health
Sponsor: Health Applications
Sponsored Session
Chair: Ben Johnson, Georgia Institute of Technology North Av, Atlanta,
GA, 30332, United States of America,
1 - HIV and STIS Among Young MSM and the Operational Issues of
Expanding Testing
Benjamin Armbruster, Northwestern University, 2514 Sheridan
Rd, Evanston, IL, United States of America,
We discuss the health policy conclusions one can draw from a detailed and
validated agent-based network simulation model of HIV, gonorrhea, and
chlamydia spread among young men who have sex with men (YMSM) in
Chicago. We focus on racial disparities and the operational issues of expanding
HIV and STI testing such as combined testing, cost-effectiveness, roll-out speed,
and uptake behavior.
2 - Data Driven Approach to Bundled Payments
Margret Bjarnadottir, Assistant Professor of Management Science
and Statistics, Robert H. Smith School of Business, University of
Maryland, 4324 Van Munching Hall, College Park, MD, 20742,
United States of America, ,
Wenchang Zhang, Ruben Proano, David Anderson,
Renata Konrad
Healthcare reimbursement is at the forefront of healthcare reform debates.
Bundled payments reimburse a single amount for an episode of care and have
been proposed as a practical and promising reimbursement alternative to the
current fee-for-service system. In this talk we investigate data driven methods to
automatically define sets of services constituting episode of care.
3 - Improving the Equity of Access to Primary Care
Mike Carter, University of Toronto, Mechanical & Industrial
Engineering, 5 King’s College Rd., Toronto, ON, M5S 3G8,
Canada, , Anna Graber, Vedat Verter
Many countries experience disparities in the distribution of health professionals.
There is evidence that trainees from a rural background are more likely to choose
to practice in rural areas. Our proposed optimization model incorporates interests
of two main stakeholders in the system, namely the regulator and the health
professionals, and provides the optimal training locations and required
background of trainees in each location.
4 - Evaluating Policy and Network Interventions to Improve Dental
Accessibility and Availability for Children
Ben Johnson, Georgia Institute of Technology, Georgia Institute
of Technology North Av, Atlanta, GA, 30332, United States of
America, , Nicoleta Serban, Paul Griffin,
Susan Griffin
We develop an intervention optimization model to match supply and need for
pediatric dental care in Georgia under different dental care policies and provider
networks. The model is used to assess the trade-off between efficiency
(expenditure) and equity (systematic variations in accessibility and availability)
under different policies for managing decision making and outcomes. Network
and policy interventions are then determined to provide optimal improvements in
dental access.
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