Informs 2015

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INFORMS Philadelphia – 2015
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2 - A “Unified Field Theory” of Accidental Death Risk?
Arnold I Barnett, Professor, MIT, E62-568, MIT, Cambridge, MA,
02139, United States of America,
We consider cross-national mortality risk tied to accidents in various forms of
transport, and also unintentional deaths from other causes like industrial
accidents. We relate these risk metrics to national life expectancies absent these
accidents (e.g, from diseases), and inquire whether an underlying factor akin to
IQ explains common patterns of dispersion for various causes of accidental death
risk.
3 - Modeling the HIV Treatment Cascade
Edward Kaplan, Beach Professor Of Operations Research, Yale
University, School of Management, 165 Whitney Avenue, New
Haven, CT, 06511, , Gregg Gonsalves
Only a quarter of HIV-infected persons in the US have undetectable viral loads.
Increasing the number virally suppressed requires increasing the throughput of
the HIV “treatment cascade” from infection to diagnosis, linkage to care, and
retention in care; and also time spent suppressed. Using available data, we
estimated stage times and progression probabilities in the treatment cascade,
enabling identification of bottlenecks and a basis for increasing the number virally
suppressed.
4 - Dynamic Games of Drug Legalization: Death and Taxes?
Jonathan Caulkins, Professor, Carnegie Mellon University,
Heinz College, 5000 Forbes Ave, Pittsburgh, PA, 15237,
United States of America,
Several states and countries have legalized marijuana; others contemplate
legalizing cocaine. These actions alter incentives for other jurisdictions to change
their policies, creating a giant dynamic game. This paper discusses insights from
viewing this as a dynamic game and associated insights about limitations of game
theoretic analysis for informing policy.
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37-Room 414, Marriott
Health Care Modeling and Optimization III
Contributed Session
Chair: Amir Mousavi, PhD Candidate, The George Washington
University, Washington, DC, United States of America,
1 - Implementing Night-shift Scheduling System for Residents in
Aichi Medical University Hospital
Mari Ito, Nanzan University, 18 Yamazato-Cho, Showa-Ku,
Nagoya, Japan, , Akira Imamura,
Takuya Ito, Rina Nakayama, Aino Onishi
We develop a support system for generating a night-shift scheduling for residents
in Aichi Medical University Hospital. We formulate the problem as a weighted
constraint satisfaction problem using weights decided by Analytic Hierarchy
Process. We implement the system on a standard PC and obtain better schedules
within a few seconds.
2 - Scheduling System for the Resident Training Program in
Aichi Medical University Hospital
Aino Onishi, Nanzan University, 18 Yamazato-cho, Showa-ku,
Nagoya, Japan, Akira Imamura,
Rina Nakayama, Mari Ito, Takuya Ito
We develop a system that makes monthly rotation schedule of training program
of the residents. We formulate the problem as a 0-1 integer programming
problem, and solve it using CPLEX. The system is in trial use in the hospital, and
the schedule obtained improves the quality of the resident training.
3 - Improving Timeliness in Lung Cancer Diagnosis Process
Hyo Kyung Lee, UW Madison, 1513 Engineering Drive, Madison,
WI, 53706, United States of America,
Raymond Osarogiagbon, Xinhua Yu, Nicholas Faris, Fedoria
Rugless, Jingshan Li, Feng Ju
Lung cancer diagnosis procedure is a series of complex and fragmented
investigation, resulting in undesirable delays in wait times. Bottleneck analysis
method is applied to identify the waiting time whose reduction can lead to the
largest improvement in the overall efficiency of lung cancer diagnosis procedure.
The impact of reducing waiting times on the timeliness of lung cancer diagnosis
process is quantified and the severities are compared to provide a way to alleviate
wait time delays.
4 - Appointment Scheduling and Overbooking to Improve Patient
Access and Reduce Patient Backlog
Linda Laganga, Vp Of Quality Systems, Mental Health Center of
Denver, 4141 East Dickenson Place, Denver, CO, 80302, United
States of America, Stephen Lawrence
Patient no-shows continue to trouble outpatient clinical service delivery. We
continue our piloting and implementation of scheduling models developed in our
earlier research to develop new techniques to assist clinics in meeting their goals
to improve patient flow and reduce backlog in scheduling. We utilize medical
practice experience to develop realistic estimates of costs and their effect on the
selection of high-performing scheduling alternatives.
5 - Scheduling Physicians to Improve Emergency Room Efficiency
Amir Mousavi, PhD Candidate, The George Washington
University, Washington, DC, United States of America,
Hernan Abeledo, Jesse Pines
Shift schedules of emergency room physicians may span several months and
involve rules such as rest periods between consecutive shifts and balancing
different types of shifts fairly across physicians. Schedules must consider the
individual exceptions, preferences, availability and hired hours of each provider.
Our goal is to create schedules that also improve patient flow by taking physician
performance into account. We present integer programming models that were
tested at the GWU hospital.
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38-Room 415, Marriott
Panel Discussion: Relevant OM / MS Research: Why?
What? How?
Cluster: Business Model Innovation
Invited Session
Chair: Chris Tang, Edward Carter Professor of Business, UCLA,
110 Westwood Plaza, Los Angeles, CA 90095, United States of America,
1 - Relevant OM / MS Research: Why? What? How?
Moderator:Chris Tang, Edward Carter Professor of Business,
UCLA, 110 Westwood Plaza, Los Angeles, CA 90095,
United States of America,
Panelists: Kalyan Singhal, Teck Ho
Three editors (Management Science, Manufacturing & Service Operations
Management, and Production & Operations Management) will share their
thoughts on ways to conduct relevant research in OM / MS by examining three
fundamental questions: “why?”, “what?” , and “how?”
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39-Room 100, CC
New Directions in Marketing - Operations Interface
Cluster: Operations/Marketing Interface
Invited Session
Chair: Vahideh Abedi, Assistant Professor, California State University
Fullerton, Fullerton, United States of America,
1 - Attention, Reward and Customer Strategies for
Sustainable Growth
Kalyan Raman, Professor, Northwestern University,
Medill School, Evanston, IL, United States of America,
Vijay Viswanathan
The key aspects of human behavior are governed by three fundamental neuro-
biological processes and their interactionóattention, reward and memory. The
study of human behavior commonly focuses on attention or reward/aversion as
independent functions. This project studies how these processes interact at the
systems level and maps a functional relationship between them. We specifically
focus on variables for reward/aversion as empirically measured with a
neuroscience-based keypress paradigm that quantifies variables from relative
preference theory and variables implicated in attention as measured by signal
detection theory.
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