Informs 2015

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INFORMS Philadelphia – 2015
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MD37
37-Room 414, Marriott
Health Care Modeling and Optimization VIII
Contributed Session
Chair: Yunzhe Qiu, Peking University, NO. 298 Chengfu Road, Haidian
District, Beijing, China,
1 - Improving Surgical Instrument Delivery using Optimization and
Process Flow Modeling
Rama Mwenesi, Center for Healthcare Engineering and Patient
Safety, University of Michigan, IOE Building, 1205 Beal Avenue,
Ann Arbor, MI, 48109-2117, United States of America,
, Joseph Derosier, James Bagian,
Shawn Murphy, Amy Cohn
Efficiency in surgical instrument reprocessing is a key challenge for high-volume
surgical centers. Insufficiently cleaned or maintained instruments adversely
impact patient safety and surgical outcomes. This study examines how i)
instrument cleanability and ii) instrument-set configurations impact efficiencies in
reprocessing as well as quality of care and costs of delivery. We evaluate process
flow variations in the delivery of instruments and present optimization-based
models for improvement.
2 - A Queueing Model of Critical Care Outreach Team in Hospitals
Ali Haji Vahabzadeh, PhD Student, The University of Auckland,
Private Bag 92019, Auckland, 1142, New Zealand,
Valery Pavlov
The considerable evidence of failed CCOT implementations in hospitals
demonstrate a lack of genuine understanding of the CCOT roles and capabilities.
Such an evidence suggests that many times implementations follow, in effect, trial
and error approach. To allow hospitals making better informed decisions this
research proposes a queueing model for understanding the effectiveness of the
CCOT on the intensive care unit performance and patient outcomes.
3 - Optimal Incentives for HIV Prevention Funds Allocation under
Asymmetric Information
Monali Malvankar, Assistant Professor, Western University, St.
Joseph’s Hospital, 268 Grosvenor St., London, ON, N6A 4V2,
Canada, , Gregory Zaric, Xinghao Yan
Resource allocation models often require cost and effectiveness data on the results
of an intervention. However, these data may not be available in practice due to
several reasons. We model information asymmetry in a multi-level HIV/AIDS
resource allocation process with an attempt to answer the following questions.
What is the impact of incentives if the preferences and infections prevented at the
lower level are unknown at the upper level?
4 - Elective Surgery Scheduling for Multiple Operating Rooms
Considering Patient Health Condition
Joonyup Eun, PhD Candidate, Purdue University, 315 N. Grant
Street, West Lafayette, IN, 47907-2023, United States of America,
Sang-phil Kim, Yuehwern Yih
This research is motivated by the fact that surgery scheduling considering patient
condition can contribute to improving patient safety. Surgeons and patients may
want to schedule their surgeries early in order to escape from the risk of
worsening patient condition. However, the resource limitation on surgeons,
operating rooms, etc., forces surgical schedulers to prioritize surgeries. This
research suggests a systematic mathematical model to consider patient condition
in surgery scheduling.
5 - Who is the Right Kid for the Next Service? A Real Time Access
Control Policy in the Pediatric Clinic
Yunzhe Qiu, Peking University, No. 298 Chengfu Road,
Haidian District, Beijing, China, ,
Zekun Liu, Jie Song
This paper develops a real-time appointment scheduling policy considering both
the difference and fairness of waiting time among heterogeneous patients. We use
the utility theory to measure service satisfaction, which is integrated with CTMDP
model. A myopic policy considering heterogeneous patients’ waiting patience is
provided to minimize the overall disutility. A case based on the collaborated
hospital is investigated, where the results confirm the effectiveness of the policy.
MD38
38-Room 415, Marriott
Dynamic Programming and Control II
Contributed Session
Chair: Akram Khaleghei, University of Toronto, 1706, 35 Charles Street
West, Toronto, ON, M4Y 1R6, Canada,
1 - Tractable Sampling Strategies for Ordinal Optimization
Dongwook Shin, PhD Candidate, Columbia Business School, 612
W 114th Street, Apt. 4R, New York, NY, 10025, United States of
America, Assaf Zeevi, Mark Broadie
We consider the problem of selecting one of several competing configurations
(systems), where probability distributions are not known, but can be learned via
sampling. The objective is to dynamically allocate a finite sampling budget to
ultimately select the best system. We introduce a tractable performance criterion
and a sampling policy that seeks to optimize it.
2 - Analysis and Modeling of the Aggregate Production Planning via
Control Oriented Approaches
Yasser A. Davizón, Professor, Universidad Politécnica de Sinaloa,
Carretera Libre Mazatlán, Mazatlan, Mexico, ,
César Martínez-Olvera
This research work addresses the application of control oriented approaches for
the analysis and modeling of the Aggregate Production Planning problem.
Analysis is provided for second order dynamical systems with the interest to
model Capacity, Inventory level, Work force costs, production rate and demand
along the Supply Chain Management by a novel mathematical formulation.
Control oriented approaches considered in this paper are: Model Predictive
Control and Linear Quadratic Regulator.
3 - Conditional-based Maintenance Policy for a System Subject to
Random Failure
Akram Khaleghei, University of Toronto, 1706, 35 Charles Street
West, Toronto, ON, M4Y 1R6, Canada,
, Viliam Makis
The maintenance optimization of a partially observable degrading system subject
to condition monitoring and observable random failure is investigated considering
cost minimization. The deterioration process is modeled as a continuous time
hidden semi-Markov model with three states: healthy, warning and failure. Only
the failure state is observable. Bayesian control chart is designed to prevent the
costly system failure.
4 - Capacity Allocation of Appointment Admission Control in a
Hierarchical Healthcare System
Xin Pan, College of Engineering, PKU, Founder Building 512,
Chengfu Street 298, Beijing, 100871, China, ,
Jie Song, Bo Zhang
Motivated by unbalanced demand between General Hospital (GH) and
Community Healthcare center (CHC) in a hierarchical healthcare system, we
proposed a MDP model where multi-class slots are allocated to multi-class
patients. We derive a policy that blocks slots in GH for low-class patients so as to
satisfy high-class patients. The policy finally intends to lower the mismatching
level in the hierarchical healthcare system, maximizing both the system’s and
patients’ revenue in the long-term.
5 - Identification of Parameters in Mathematical Biology
Ugur Abdulla, Professor of Mathematics, Florida Institute of
Technology, 3627 Mount Carmel Lane, Melbourne, FL, 32901,
United States of America, , Roby Poteau
We consider inverse problems for the identification of constant and functional
parameters for systems of nonlinear ODEs arising in mathematical biology. We
implement a numerical method suggested in U.G.Abdulla,JOTA,85,3(1995). The
idea of the method is based on the combination of quasilinearization with
sensitivity analysis and Tikhonov’s regularization. We apply the method to
various biological models such as the bistable switch model in genetic regulatory
networks and angiogenesis model.
MD38