Informs 2015

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INFORMS Philadelphia – 2015
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SA36
3 - Multi-Server Queues with Impatient Customers as Level-
Dependent QBDs with Applications in Healthcare
Amir Rastpour, University of Alberta, Alberta School of Business,
PhD office, Edmonton, AB, T6G 2R6, Canada,
Burhaneddin Sandikci,
Armann Ingolfsson
We investigate the use of level-dependent quasi-birth-death (QBD) processes to
analyze priority queues with impatient customers, such as emergency
departments where patients are triaged into priority classes and some patients
leave without being seen. We report numerical results and discuss algorithm
performance (accuracy and speed).
4 - Optimal Cut-off Points for RNA-based Testing to Minimize the
Transfusion-transmitted Infection Risk
Hrayer Aprahamian, PhD Student, Virginia Tech, Dept of ISE,
Blacksburg, VA, 24061-0118, United States of America,
, Ebru Bish, Douglas Bish
The safety of blood products, in terms of being free of infectious agents (e.g.,
human immunodeficiency virus, hepatitis viruses), is essential. We develop a
novel mathematical model to determine the optimal cut-off points for RNA-based
individual and pooled screening tests, considering all recognized and emerging
infections that can be transmitted through the use of blood products. Using real
data, we show that our model improves upon current practices.
SA35
35-Room 412, Marriott
Joint Session HAS/MSOM-Healthcare:
Health Care Operations
Sponsor: Health Applications & MSOM
Sponsored Session
Chair: Nilay Argon, University of North Carolina, Department of
Statistics and Operations, Chapel Hill, NC, 27599, United States of
America,
Co-Chair: Serhan Ziya, Associate Professor, UNC Department of
Statistics & Operations Research, 356 Hanes Hall, CB#3260, Chapel Hill,
NC, 27599 - 32, United States of America,
1 - Scale and Skill Mix Efficiencies in Nursing Home Staffing
Ger Koole, VU University Amsterdam, De Boelelaan 1081a,
Amsterdam, Netherlands, Dennis Moeke,
Lineke Verkooijen
Care workers account for a significant proportion of the total health expenditure
in nursing homes and are by far the largest controllable resource. Therefore
determining the appropriate number and type of care workers required plays an
important role in the search for more efficiency. This study provides insights in
how and why scale of scheduling and blending tasks of different qualification
levels effect the number and type of staff required to meet the preferences of
nursing home residents.
2 - Myopic Scheduling of Jobs with Decaying Value with Applications
in Patient Scheduling
Neal Master, Stanford University, 350 Serra Mall, Stanford, CA,
94305, United States of America, ,
Carri Chan, Nicholas Bambos
In healthcare settings, delays in receiving treatment can result in worse outcomes
for patients. We introduce a clearing model in which the reward generated by
completing service for an individual job decays over time. Because computing an
optimal policy for such a model is computationally intractable, we focus on a
number of myopic heuristics. We provide performance guarantees for each
heuristic and use simulation to gain further insight into patient scheduling
problems.
3 - Wait Time Announcements at Hospital Emergency Departments
Zhankun Sun, Haskayne school of business, University of Calgary,
2500 University Drive NW, Calgary, AB, Canada,
Marco Bijvank
We study a multiclass multiserver priority queue with delayed feedback to predict
the wait time for low-priority patients to be seen by a physician for the first time
after triage in ED. We model the patients reassess process and develop a
procedure to predict the state-dependent wait time based on an busy-period
analysis. With a case study at the four major hospitals in the Calgary area we
illustrate the performance of our wait time predictions.
4 - Evaluating Different Policies: A Real Life Operating Room
Scheduling Problem
Elvin Coban, Ozyegin University, Cekmekoy, Istanbul, Turkey,
Gulsah Alper
We study a real life operating room scheduling problem using a dataset from a
leading hospital in Turkey. We solve the daily and weekly scheduling problems by
a mixed integer linear programming model. Various objective functions and
performance metrics are analyzed including minimizing the waiting time of
patients while maximizing fairness. We examine surgery delays and incorporate
possible delays in surgery durations. We also propose a method to compute robust
operating room schedules.
SA36
36-Room 413, Marriott
Humanitarian Applications I
Sponsor: Public Sector OR
Sponsored Session
Chair: Burcu Balcik, Ozyegin University, Nisantepe Mah. Orman Sok.
Cekmekoy, Istanbul, Turkey,
1 - The Needs Assessment Routing Problem in Humanitarian Relief
Burcu Balcik, Ozyegin University, Nisantepe Mah. Orman Sok.
Cekmekoy, Istanbul, Turkey,
In the immediate aftermath of a disaster, it is important for relief agencies to
develop accurate estimates about the effects of the disaster in the affected region.
Since assessments must be completed quickly, it may not be possible to visit each
site in the affected region to collect information. We present mathematical models
and solution approaches to support site selection and routing decisions of the
rapid needs assessment teams. We present a case study to illustrate our approach.
2 - Effective Response to Disable and Elderly Populations in
Short-notice Disasters
Jacqueline Griffin, Assistant Professor, Northeastern University,
334 Snell Engineering Center, 360 Huntington Ave, Boston, MA,
02125, United States of America, ,
Rana Azghandi
We develop a mixed integer programing model to simultaneously account for the
different protection strategies for the elderly and disabled population in short-
notice disasters. The modeling poses a split-delivery vehicle routing problem with
time windows and multiple uses of heterogeneous vehicles. We examine the
effect of multiple objectives for this disaster response application. Moreover, the
value of cooperation among neighboring jurisdictions as compared with greedy
policies is examined.
3 - A Dynamic Model for Disaster Response Considering Prioritized
Demand Points
Gina Galindo, Dr., Universidad del Norte, Km 5 Antigua
Via a Puerto Colombia, Barranquilla, Colombia,
, Daniel Rivera
This research addresses the problem of distributing relief supplies after the
occurrence of a natural disaster. We develop a dynamic model to define an action
plan to serve demand, while prioritizing the response according to the level of
urgency of demand points. Our model considers capacity constraints and dynamic
priorities. To evaluate its applicability, we use a case study of a flood occurred in
Colombia. We also test the solvability of our model for large instances of our
problem.
4 - The Role of Media Exposure on Humanitarian Donation and
Coordination
Mahyar Eftekhar, Arizona State University, P.O. Box 874706,
Tempe, AZ, 85287, United States of America, ,
Luk Van Wassenhove, Hongmin Li, Scott Webster
Despite their resource and financial limitations and despite the considerable level
of demand uncertainty they face, Humanitarian Organizations (HOs) do not
typically share resources. Considering the impact of media exposure, our study
unveils the conditions in which humanitarians will coordinate. This paper
contains both empirical and analytical modeling.