Informs 2015

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INFORMS Philadelphia – 2015
270
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36-Room 413, Marriott
Innovations on Disaster Response Logistics
Sponsor: Public Sector OR
Sponsored Session
Chair: Felipe Aros-Vera,
1 - Competition Over Funding Resources in Humanitarian Operations
Arian Aflaki, Doctoral Student, Duke University, 100 Fuqua
Drive, Box 90120, Durham, NC, 27708, United States of America,
, Alfonso Pedraza-Martinez
Donors seek control over their donations, while it hurts the operational efficiency
of Humanitarian Organizations (HOs). We model the trade-off between
operational performance, fundraising effort, and donor preferences and find that
HOs can benefit from limiting donors’ control over their donations; however,
competition forces HOs to give control to donors.
2 - Optimizing Humanitarian Logistics Concepts of Operations:
The Case of Haiti
Erica Gralla, Assistant Professor, George Washington University,
800 22nd Street NW, Washington, 20052, United States of
America, Liam Cusack, Phillip Graeter
After a disaster, the Logistics Cluster coordinates logistics for various responding
humanitarian agencies. They must quickly set up a supply chain, determining
entry points, major transport corridors, storage hubs, and vehicle requirements.
This research supports these decisions by finding the minimum-cost supply chain
configuration. Results for the case of Haiti are presented.
3 - Assessment of Risk Management and Disaster Response
Capabilities through the Process Maturity Framework
Miguel Jaller, Assistant Professor, University of California, Davis,
One Shields Ave, Ghausi Hall, 3143, Davis, CA, 95616, United
States of America, Diego Suero,
Melissa Del Castillo, Nuris Calderón, Jose William Penagos
This paper explores the Process Maturity Framework to assess the current state of
the risk management and disaster response capabilities of a region in a developing
country. Using data collected by the team in Colombia, the paper discusses the
results in terms of the maturity levels for the different factors that comprise the
processes of: risk management and understanding, risk mitigation, and disaster
management and response; and puts forward a number of achievable goals and
key practices.
4 - Adaptive Decision Making under Dynamic Information Update in
Limited Data Environments
Kezban Yagci Sokat, PhD Candidate, Northwestern University,
2145 Sheridan Road, C210, Evanston, IL, 60208, United States of
America, ,
Irina Dolinskaya, Karen Smilowitz
After a disaster, there is often limited information about infrastructure damage.
New data sources such as OpenStreetMap are emerging. Utilizing these new data
sources, we use clustering and various imputation techniques with pre-disaster
and post-disaster attributes to approximate incomplete information in a timely
manner for routing decisions.
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37-Room 414, Marriott
Health Care Modeling and Optimization IX
Contributed Session
Chair: Parastu Kasaie, Postdoctoral Fellow, Johns Hopkins University,
615 N. Wolfe St, E6039, Baltimore, MD, 21205,
United States of America,
1 - Dynamic Advance Overbooking with No-Shows and Cancellations
Van-Anh Truong, Columbia University, 500 West 120th St, New
York, NY, 10027, United States of America,
We introduce the first tractable model of dynamic advance overbooking with no-
shows and cancellations. In this fundamental model, advance appointments must
be given to a stream of patients arriving randomly over time. Patients might
cancel or miss their appointments, with the likelihood of these events increasing
with their wait times.
2 - Integrating Quick-response Methods and Staffing Decisions
in a Hospital
Jan Schoenfelder, Research Assistant, Augsburg University,
Neusässer Strafle 47, Augsburg, Ba, 86156, Germany,
, Daniel Wright, Edwin Coe,
Kurt Bretthauer
We present an optimization model that combines hospitals’ nurse staffing
decisions with two classes of quick-response decisions: (i) adjustments to the
assignment of cross-trained nurses working the current shift in each unit and (ii)
transfers of patients between units and off-unit admissions. We use a simulation
to derive insights into the level of benefit that can be expected from integrating
the aforementioned quick-response methods in the staffing process.
3 - Analyzing the Relationship Between Two-phased Room Allocation
Policies in an Outpatient Clinic
Vahab Vahdatzad, PhD Candidate, Northeastern University,
360 Huntington Avenue, Boston, MA, 02215, United States of
America, James Stahl,
Jacqueline Griffin
This research analyzes the relationship between two phases of room assignment
in an outpatient clinic. Specifically, we studied the interplay between the use of
rooms for Medical Assistant and physicians during a patient visits. We
demonstrate that policies for assigning rooms to MA and physicians has a
significant impact on patient wait time and length of stay. Several room allocation
policies are examined using discrete event simulation and interactions between
two phases are investigated.
4 - An Agent-Based Simulation Model of HIV Transmission and
Control among Men who have Sex with Men in Baltimore City
Parastu Kasaie, Postdoctoral Fellow, Johns Hopkins University,
615 N. Wolfe st, E6039, Baltimore, MD, 21205,
United States of America, David Dowdy
We present an agent-based simulation model to project the population-level
impact of implementing HIV preventive therapy (PREP) and treatment (ART) for
high-risk men who have sex with men (MSM) in Baltimore city. We compare a
counterfactual scenario in which PrEP and ART continue to be used at current
(low) levels against scenarios in which different levels of coverage and adherence
are achieved. The primary outcome of interest is the HIV incidence among MSM
in Baltimore over five years.
5 - Estimating the Energy Imbalance Characterizing the Rise in
Obesity Among Adults in England
Saeideh Fallah-Fini, California State and Polytechnic University,
Pomona, 3801 W. Temple Ave, Pomona, CA, 91768,
United States of America,
This paper uses systems dynamics to present a population-level model that
quantifies the energy imbalance gap responsible for the obesity epidemic among
adults in England (across different gender and ethnicity subpopulations) during
the past two decades. The developed model also estimates the magnitude of
calorie reduction that should be targeted by obesity interventions to reverse the
current trajectory of the obesity epidemic.
TA39
39-Room 100, CC
Supply Chain Management and Marketing Interface
Cluster: Operations/Marketing Interface
Invited Session
Chair: Gangshu Cai, Santa Clara University, OMIS Department,
Lucas Hall 216N, Santa Clara, CA, 95053, United States of America,
1 - Effects of Demand Uncertainty and Production Lead Time on
Product Quality and Firm Profitability
Baojun Jiang, Olin Business School, Washington University in St.
Louis, MO, 63130, United States of America,
Lin Tian
We study the effects of demand uncertainty and production lead time in a
distribution channel with one retailer outsourcing its production to one supplier.
We show that the supplier may have no incentive to improve its lead time even if
it is costless to do so. An increase in the supplier’s JIT production capacity can
lead to higher or lower product quality, benefiting the retailer but potentially
hurting the supplier. A better market can make both the supplier and the retailer
worse off.
2 - The Protection Economy: Problem Retention or
Problem Prevention?
Oded Koenigsber, Associate Professor, London Business School,
Regent’s Park, London, United Kingdom,
Eitan Gerstner, Daniel Halbheer
Companies are advised to invest in quality programs to solve and prevent
customer problems. This paper shows that profit-maximizing motivate companies
to peruse protection strategies under which customer problems are created or
preserved so that protection services can be offered to repair the damages created
through the problems. Thus, standard economic efficiency measures used in the
“solution economy” are inappropriate for the “protection economy”.
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