Informs 2015

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INFORMS Philadelphia – 2015
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2 - Effect of Meat Price on Health Outcomes
Allison Pitt, Graduate Student, Stanford University, 475 Via
Ortega, 212I, Stanford, CA, 94305, United States of America,
Eran Bendavid
We simulate the changes in obesity prevalence, mortality, and quality of life of
adults in the United States from a sustained shift in meat price such as those that
may result from volatility in global food markets or from policies. We highlight
the differential impact across subpopulations defined according to race and
gender.
3 - Fear as Contagion: The Ebola Crisis and Public Fear Networks a
System Dynamics Approach
Nasser Sharareh, Binghamton Univeersity, 99 Schubert,
Binghamton, NY, 13905, United States of America,
Nasim Sabounchi
The most important problems during a period of crisis in any country is how to
respond to the public’s fear. There has been a lot of research investigating
epidemic diseases, However, a few of these have employed a system dynamics
(SD) approach to demonstrate the relationships between pandemics and the
public response to fear, and the public perception of epidemic. In this study, an SD
model has been developed to study the hidden relations that spread the disease.
4 - Is it a Solution? Findings from HIMMS Data
Liuliu Fu, PhD Candidate, Old Dominion University, 5413 Walton
Avenue, Norfolk, VA, 23508, United States of America,
, Ling Li, Li Xu
Our research uses the HIMSS 2014 analytics database to identify the
implementation of IT on US hospitals as well as the impact of IT on these
hospitals. SEM models are constructed. Research questions: 1) What are the
influential factors of hospital performance? 2) Whether Information System plays
a role to improve hospital performance? If so, what’s the mechanism that IS
influence the performance? And 3)For different type of hospitals, whether IS
affects the performance differently? If so, Why?
5 - Blood Inventory Performance Improvement via Substitution
Order Optimization
Gina Dumkrieger, ASU, 1151 S. Forest Avenue, Tempe, AZ,
85281, United States of America,
When allocating limited resources of a substitutable, perishable good, such as
blood, substitution order is important. Research shows that by optimizing the
blood type substitution order arrival of the first unserved patient can be delayed.
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36-Room 413, Marriott
Optimization in Cyber and Physical Systems
Sponsor: Public Sector OR
Sponsored Session
Chair: Justin Yates, Professor, Francis Marion University,
4822 E Palmetto St, Florence, SC, United States of America,
1 - Network Models for Nuclear Facility Security
Justin Yates, Professor, Francis Marion University,
4822 E Palmetto St, Florence, SC, United States of America,
, Sambridhi Bhandari, Sergiy Butenko
Security practices are based on traditional risk equations relying heavily on expert
opinion and estimation. The proposed model measures the strength rating of a
facility based on current and available detection and delay components to
effectively allocate/improve security resources. Testing is conducted on a various
facility models that mimic real-world structure.
2 - Data Fusion Methods for Emergency Logistics
Robert Pavur, Professor, University of North Texas, 1307 West
Highland Street, College of Business, Denton, TX, 76201,
United States of America, , Huguette Tran
Data fusion methods, based on Shannon’s Entropy, are often employed in
emergency logistics. Implementation of these techniques to estimate casualties or
survivors has to be carefully considered. These methods may yield results
equivalent to standard statistical estimators. Shannon’s entropy, invariant to
permutations of values of discrete variables, makes the formulation of the
estimator inefficient if enough categories are not selected. We compare traditional
and entropy-based procedures.
3 - Proactive Cost-effective Risk Mitigation in a Supply Chain using
Fault-tree Analysis
Michael Sherwin, Mississippi State University, 1767
Independence Way, Valencia, PA, 16059, United States of
America, , Hugh Medal, Steven Lapp
Fault-tree analysis (FTA) is a well-accepted methodology in reliability engineering
for analyzing risks within a system. In this paper we present an approach for
constructing a fault-tree to assess risk within a supply chain. The top-level event
of interest is the delay in delivering a product to a customer and lower-level
events represent the causes and associated probabilities of disruptions within the
supply-chain for the product being studied.
4 - A Computational Approach to Determine Damage in Infrastructure
Systems from Outage Reports
Huy Nguyen, Research Assistant, Rensselaer Polytechnic
Institute, 110 8th Street, Troy, NY, 12180,
United States of America, Thomas Sharkey
We consider the problem of determining damaged components in an
infrastructure system given outage reports from customers. This is important in
the context of cyber attacks on the information/control systems of the
infrastructures since these attacks can induce incorrect information about the
status of components. We develop an integer programming approach that
iteratively determines a set of components to inspect whose damage would best
replicate the outage report.
5 - Blastoff: A Stochastic MILP Approach to Satellite Orbital
Maneuvers to Collect Forest Fire Data
Aaron Hoskins, PhD Student, Mississippi State University,
Industrial & Systems Engineering, Starkville, MS,
United States of America, , Hugh Medal
Forest fires cause considerable loss of life and property each year, but more data
being available to fire crews can help to mitigate the loss. Satellite data is a data
source that is under utilized due to the fact that the satellite’s orbit can preclude it
from collecting the most valuable data. This research applies a MILP approach to
the altering of satellite trajectories to improve the data collected by a satellite of a
forest fire.
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37-Room 414, Marriott
Health Care Strategy and Policy III
Contributed Session
Chair: Jessye Bemley, North Carolina A&T State Uinversity, 1601 East
Market St., McNair Hall 419, Greensboro, NC, 27409, United States of
America,
1 - Risk Adjustment and Low Income Subsidy Distortions in
Medicare Part D
Daniel Miller, Assistant Professor, Clemson University, Dept.
Economics, 228 Sirrine Hall, Clemson, SC, 29670,
United States of America,
This paper reveals distortions in the largest health exchange, Medicare Part D,
related to the design of the Low Income Subsidy program and the three “Rs” of
Part D’s risk adjustment sharing mechanism (risk adjustments, risk corridors,
reinsurance). I document price distortions, biases in risk adjustments, and
evidence of insurers and drug suppliers price discriminating to exploit these
biases. In conclusion, I discuss policy considerations for designing health
exchanges.
2 - Causes and Consequences of Telemedicine Adoption in Clinics
with Clinical Decision Support System
Xiaojin Liu, University of Minnesota, 321 19th Ave S,
Minneapolis, MN, 55455, United States of America,
Susan Goldstein, Karen Soderberg,
Kingshuk Sinha
Telemedicine, the technology-enabled remote delivery of clinical care, is one
potential means to improve patient access to health care services. Yet, little is
known on antecedents and consequences of current adoption. We investigate
how geographical, socioeconomic and organizational characteristics determine the
adoption, and examine how telemedicine impacts clinical care effectiveness.
3 - For-profit Vs. Nonprofit: Strategies for Competition and
Collaboration in Continuing Care
Chengcheng Fan, Stanford University, 44 Olmsted Rd, #408,
Stanford, CA, 94305, United States of America,
For-profit organizations have risen as a new form of entrepreneurism in
healthcare industry. In this paper, I first examine the impact of ownership status
on occupancy rate, price, and resident satisfaction in continuing care industry
through an empirical study in California. Second, I set up a two-sided market
framework to model the competition between for-profit and nonprofit CCRCs.
The results provide new insights to understand the increase of for-profits’ market
share in healthcare.
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