INFORMS Nashville – 2016
112
4 - How Cost Reduction And Change Of Technology Significantly
Changed The Demand Of A Product. Case Story Based On Daily
Demand Data From 2012-2016
Eric Bentzen, Copenhagen Business School,
eb.om@cbs.dkSenior leadership can influence a direct report through incentives and
communication. Financial incentives are credible and precisely specified, but offer
limited flexibility, whereas communication is flexible, but lacks precision and
must be deemed credible to affect a direct report’s actions. We study senior
leadership who seeks to add an initiative to their portfolio. Early on, its potential
to create value is not well-understood, however, senior leadership eventually
obtains knowledge on its potential which they may communicate to their direct
report.
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Music Row 2- Omni
Simulation of Healthcare Service Systems
Sponsored: Service Science
Sponsored Session
Chair: Wai Kin Chan, Rensselaer Polytechnic Institute, 110 8th St., CII
5015, ISE Dept., RPI, Troy, NY, 12180, United States,
chanw@rpi.edu1 - Optimizing Hospital Service Levels Via Resource Allocation
Weiwei Chen, Assistant Professor, Rutgers University,
1 Washington Park, Newark, NJ, 07901, United States,
wchen@business.rutgers.edu, Siyang Gao, Hainan Guo
This talk introduces a resource allocation problem typically encountered in
hospitals. Service levels in a hospital will vary as the resources are allocated
differently. These performance measures can be evaluated via simulation. We aim
to find the optimal allocation that maximizes one service level while satisfying the
other service level requirements. Such an optimization is subject to random
noises in simulation and the limit on computing budget to run simulation. To this
end, we formulate the problem as a simulation optimization problem, and derive
the corresponding optimal computing budget allocation policy.
2 - Simulation Of Infectious Disease Propagation
Susan M Sanchez, Professor, Naval Postgraduate School, Monterey,
CA, 93950, United States,
ssanchez@nps.edu, Paul J. Sanchez
We explore the behavior of a new stochastic model of infectious disease
propagation. The model tracks individual outcomes, but without creating
connectivity graphs for all members of the population. Accordingly, it is readily
scalable to large populations, while preserving the impact of variability during the
critical early stages of an outbreak. Initial explorations show behaviors similar to
the observed course of historical outbreaks: while many outbreaks fizzle out
quickly, some flare into more widespread epidemics. Such results may better
inform decision makers about risk.
3 - Association Between Staff Behavior And Patient Experience Of
Care In Acute-care Hospitals
Eduardo Perez, Assistant Professor, Texas State University,
San Marcos, TX, United States,
eduardopr@txstate.eduDavid P. Dzubay, Anthony Stahl
This research proposes a new framework to assess the performance of hospitals
across multiple domains of patients’ experiences. We examine whether key
systemic characteristics of hospitals are associated with a better experience for
patients. In particular, we investigated the effects of nurses and hospitalists
activities on patients’ ratings of their care. A case study is presented that considers
data from the intensive care units from multiple hospitals in Central Texas.
4 - Simulating The Size Distribution Of Hospital Service Systems
Wai Kin Chan, Rensselaer Polytechnic Institute,
chanw@rpi.edu,
Baojun Gao, Nancy Deng
This talk introduces an agent-based simulation model for simulating the growth
process of a hospital service system. In this model, hospitals grow or reduce their
size to react to (and compete for) patient demand. Patients, as another type of
agents in the model, select a hospital to visit based on multiple factors. The
objective of the agent-based model is to understand what factors influence the
growth of hospitals in a way that the hospital size distribution converges to the
size distribution consistent with the actual size distribution observed in a real
hospital size dataset.
SD55
Music Row 3- Omni
Modeling and Simulation of Education as a
Complex System
Sponsored: Service Science
Sponsored Session
Chair: Maryam Alsadat Andalib, PhD Student, Virginia Tech,
1185 Perry Street, 536F Whittemore Hall, Blacksburg, VA, 24061,
United States,
maryam7@vt.edu1 - Cross-sectional Surveys: Inferring Total Time In State Using Only
Elapsed Time-to-date
Richard C Larson, Massachusetts Institute of Technology,
rclarson@mit.eduWe survey populations whose members are in a temporary state, asking time
already spent in the temporary state. Leveraging longevity bias, we derive
distributions of total time spent in the state for: random & fixed times of
surveying, random & fixed times of entering the state, and sampling only those
who have already spent some minimal specified time in the state.
2 - Exploring The United States Behavioral And Social Science
Research (BSSR) Workforce Through Dynamic Modeling
Julie Maurer, Ohio State University,
maurer.99@osu.eduThe behavioral and social sciences research (BSSR) workforce in the United States
is a segment of the STEM researcher workforce that is of growing concern. There
is considerable interest in the health of the BSSR workforce as demonstrated by a
recent Executive Order (EO 13707, 2015) recognizing the value of such research
in informing effective policy creation. Given its complexity and the challenges of
understanding the heterogeneity of its scientists, a hybrid model (combining
system dynamics and agent based approaches) is developed in this study to
explore and better understand the complex dynamics of the supply and demand
in the BSSR workforce and the effects of various policy interventions.
3 - Different Modes Of Scientific Progress In HIV/AIDS
Arash Baghaei Lakeh, Virginia Tech,
arashb@vt.eduNavid Ghaffarzadegan
There is a variation in research focus of scientific communities from different
countries on various aspects of HIV/AIDS disease. In this research, we are
employing topic finding methods to distinguish different trends of HIV/AIDS
research over the past two decades. Our data includes the abstracts of more than
200,000 papers published over this period on HIV/AIDS. We then show
differences of focus on HIV research in different countries and investigate the
underlying reasons for such variation.
4 - Modeling And Analysis Of The Leaking Pipeline: Diversity In The
United States Higher Education
Maryam Alsadat Andalib, Virginia Tech, Blacksburg, VA,
United States,
maryam7@vt.edu, Navid Ghaffarzadegan
Moving towards an equitable education system provides underrepresented groups
with equal educational and economic opportunities. Many studies have
attempted to identify the important causes of the existing gender and ethnicity
gaps in higher education and the policy leverages with the goal of increasing
equity. But the body of research investigating the effectiveness of different policy
leverages is methodologically narrow. In this research, we specifically aim at
identifying the important causes of disparities in the US higher education, and
introduce policies to improve education equity as well as long term achievements
of underrepresented minorities through a system dynamics approach.
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Music Row 4- Omni
Health & IT
Sponsored: EBusiness
Sponsored Session
Chair: Laura Brandimarte, University of Arizona, Tucson, AZ,
United States,
lbrandimarte@email.arizona.edu1 - There’s An App For That: Addressing The Handoff Problem In
Healthcare Using Mobile
Idris Adjerid, Notre Dame University,
iadjerid@nd.eduCorey M Angst, Ralph Gross
Healthcare and mobile technologies seem like a natural union with the potential
for considerable value to providers and patients. With this in mind, we study a
novel mobile application designed to address the handoff problem between the
Emergency Department and inpatient units. Leveraging data on more than
145,000 Emergency Department visit over 4.5 years alongside detailed logs of app
usage, we find that use of the app reduced patient length of stays in the ED by 4-
6%, effectively eliminating the additional time that an admitted patient spends in
the ED.
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