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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.dk

Senior 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.

SD54

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.edu

1 - 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.edu

David 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.edu

1 - Cross-sectional Surveys: Inferring Total Time In State Using Only

Elapsed Time-to-date

Richard C Larson, Massachusetts Institute of Technology,

rclarson@mit.edu

We 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.edu

The 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.edu

Navid 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.

SD56

Music Row 4- Omni

Health & IT

Sponsored: EBusiness

Sponsored Session

Chair: Laura Brandimarte, University of Arizona, Tucson, AZ,

United States,

lbrandimarte@email.arizona.edu

1 - There’s An App For That: Addressing The Handoff Problem In

Healthcare Using Mobile

Idris Adjerid, Notre Dame University,

iadjerid@nd.edu

Corey 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.

SD54