Informs 2015

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INFORMS Philadelphia – 2015
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3 - Resource Pooling and Flexibility to Improve Ed Boarding
Aaron Ratcliffe, Assistant Professor, University of North Carolina
at Greensboro, 438 Bryan Building, P.O. Box 26170, Greensboro,
NC, 27402, United States of America, ,
Alex Mills
ED boarding worsens health outcomes and compromises hospital care. We
investigate how resource pooling can improve ED boarding by aligning ED
admissions with inpatient discharges using a dynamic queueing control model.
We compare strategies which jointly manage inpatient resources under a
traditional and pay-for-performance setting.
4 - Optimal Mobile Healthcare Delivery Aimed at Minimizing Social
Healthcare Costs
Jiu Song, Nanyang Technological University, 50 Nanyang Avenue,
Singapore 639798, Singapore, Fang Liu,
Pengfei Guo, Yulan Wang
Developing countries set up mobile health programs to improve public health
service and people’s access to medical care in the remote regions. We model the
disease progression following a discrete time Markov chain and focus on
improving the efficiency of the mobile healthcare delivery system. We identify
conditions under which mobile healthcare is beneficial, and find the optimal
duration a mobile hospital visits a community. We provide some managerial
insights through numerical study.
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42-Room 102B, CC
Joint Session MSOM-Health/HAS: Designing
Healthcare Systems to Improve Patient and Provider
Experience
Sponsor: Manufacturing & Service Oper
Mgmt/Healthcare Operations
Sponsored Session
Chair: Vera Tilson, Simon School of Business, University of Rochester,
Rochester, NY, 14627, United States of America,
1 - Slow First, Fast Later: Empirical Evidence of Speed-up in Service
Episodes of Finite Duration
Aditya Jain, Baruch College, New York City, New York, NY,
United States of America, ,
Sarang Deo
In service episodes of finite duration with time-varying dynamics, operating
variables that affect work speed have not been rigorously studied. We employ the
trade-off faced by workers between cost of providing service and cost of customer
wait to identify two previously unexplored drivers of work speedótime within the
episode and anticipated remaining workload. We empirically test our predictions
using data from a high volume, tertiary care outpatient department.
2 - Designing a Network of Accident-and-emergency Facilities to
Improve Cost Efficiency for the Elderly
Houyuan Jiang, University Senior Lecturer, University of
Cambridge, Judge Business School, Cambridge, United Kingdom,
, Manmohan Sodhi
We concern ourselves with the elderly in an Accident-and-Emergency system.
The system, while already stressed with a rapidly increasing load, faces an
increasing percentage of the elderly as in many other countries, and closure of
facilities due to costs. We characterize the sufficient and necessary conditions for
one Accident-and-Emergency to have a split or pooled system and for a network
of two Accident-and-Emergency departments to be merged or operated
separately.
3 - Dynamic Exam Room Allocation to Improve Patient Wait Time and
Provider Satisfaction
Sarah Kadish, Director Performance Measures And Improvement,
Dana-Farber Cancer Institute, 450 Brookline Avenue,
Boston, MA, 02215, United States of America,
, Beth Overmoyer,
Kristen Camuso, Courtney Haskett, Chris Reilly, Lillian Pedulla,
Craig Bunnell
Allocation of exam rooms drives capacity, provider efficiency, and patient wait
time. We sought to improve our algorithm for allocating rooms from a static
provider-to-room ratio to a dynamic model, utilizing a Real-Time Locating
System. Post-implementation, 83% of providers reported the rooming process
was efficient compared with 43% at baseline, corroborated by a statistically
significant reduction in patient wait time.
4 - Regional Routing Model for Healthcare Pickup and
Delivery Networks
Joseph Szmerekovsky, Professor Of Management, North Dakota
State University, Richard H. Barry Hall, # 350, Fargo, ND, 58108,
United States of America, ,
Luke Holt
We study a healthcare distribution network with delivery deadlines. It involves a
large geographic road network visiting hospitals, clinics, and long-term care
facilities. Supply chain planners are forced to determine route schedules that
provide appropriate service levels while considering time constraints. We present
a vehicle routing model that minimizes the system costs associated with vehicle
routes.
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43-Room 103A, CC
Innovation, Technology Management and Networks
Sponsor: Revenue Management and Pricing
Sponsored Session
Chair: Nur Sunar, Assistant Professor, University of North Carolina,
Kenan-Flagler School of Business, Chapel Hill, United States of
America,
1 - A Simple Model of Cascades in Networks
Asu Ozdaglar, Massachusetts Institute of Technology, 32 Vassar St,
Cambridge, MA, United States of America,
Yongwhan Lim, Alex Teytelboym
We consider a stochastic linear threshold model of cascades in networks. We
define a new measure of an agent’s ability to influence a cascade in a given
network, called cascade centrality, which is the expected size of the cascade when
the agent is the only seed in the network. We provide analytical characterizations
of cascade centrality for certain network topologies. We also study a competition
model in which firms seed their products and products diffuse according to the
threshold model.
2 - Risk Aversion, Information Acquisition, and Technology Adoption
James Smith, Duke University, Fuqua School of Business,
Durham, NC, United States of America, ,
Canan Ulu
We study the impact of risk aversion and uncertainty on technology adoption
decisions using a dynamic programming model: in each period, the consumer
may adopt or reject the technology or pay to acquire a signal about the
technology’s uncertain benefit. With risk neutrality, the value functions and
optimal policies satisfy natural monotonicity properties. However, with risk
aversion, the policies need not be monotonic unless we impose additional
assumptions on the utility functions involved.
3 - Innovation Internalization in Technology-intensive Supply Chains
Vish Krishnan, UCSD, La Jolla, CA, 92037, United States of
America, Junghee Lee, Hyoduk Shin
We study supply chains where technology is a critical determinant of product
success and is often licensed from upstream firms by downstream supply chain
entities through a royalty contract. We investigate the impacts of two prevalent
royalty bases, Full System Base(FSB) and Sub System Base(SSB). We derive
optimal royalty approaches for different market settings. FSB, despite its similarity
to revenue sharing, is not always pareto-efficient in technology supply chains.
4 - Dynamic Product Development and Optimal Launch for a
Customer Network
Nur Sunar, Assistant Professor, University of North Carolina,
Kenan-Flagler School of Business, Chapel Hill, NC, United States
of America, , Sinit Vitavasiri,
John Birge
Development and the launch of products with network externalities require a
deep understanding of social or commercial relationships among customers. Using
a continuous time Brownian model, we analyze the optimal dynamic product
development and launch strategies of a firm that sells an indivisible product to a
network of customers. Our analysis shows that the network structure has a
drastic impact on the optimal product quality and timing of the product launch.
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