INFORMS Philadelphia – 2015
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3 - Introducing Pro Bono Analytics
David Hunt, Manager, Oliver Wyman, One University Square,
Suite 100, Princeton, NJ, 08540, United States of America,
David.Hunt@oliverwyman.com, Michael P. Johnson
Pro Bono Analytics is a new initiative within INFORMS to match INFORMS
members willing to volunteer their operations research and advanced analytical
skills with non-profit organizations working in underserved and developing
communities. This presentation will provide an overview of the Pro Bono
Analytics program, describe how OR/analytics professionals can make a
difference, and show how you can become a Pro Bono Analytics volunteer.
4 - Predicting Areas of Low HPV Vaccination Coverage to Target
Vaccination Promotion Efforts
Brittany Green, University of Cincinnati, Carl H. Linder School of
Business, 2925 Campus Green Dr., Cincinnati, OH, 45221,
United States of America,
brittanydianeg@gmail.com, Josh Haupt,
Louis Luangkesorn
The Jewish Healthcare Foundation is trying to promote Human Papillomavirus
(HPV) vaccination efforts in southwestern Pennsylvania. HPV is a sexually
transmitted disease which can be prevented with a three dose vaccine. However,
vaccination rates among adolescents is short of target rates. We develop a
predictive model of vaccination coverage based on the National Immunization
Survey. We then apply this model to census data to identify zip codes to target for
HPV vaccination promotion programs.
MB37
37-Room 414, Marriott
Health Care Modeling and Optimization V
Contributed Session
Chair: Karti Puranam, Assistant Professor, La Salle University, 1900 W
Olney Ave, Philadelphia, PA, 19141, United States of America,
puranam@lasalle.edu1 - Differential Impact of Health it on Duplicate Testing
Sezgin Ayabakan, Assistant Professor, University of Baltimore,
1420 N Charles St, Baltimore, MD, 21201, United States of
America,
sayabakan@ubalt.edu, Indranil Bardhan,
Zhiqiang Zheng, Kirk Kirksey
We investigate and compare the impact of intra- and inter- hospital information
sharing technologies on duplicate radiology and laboratory tests for Congestive
Heart Failure patients. We use a comprehensive dataset of 39,600+ visits across
outpatient clinics of 68 hospitals in North Texas from 2005 to 2012 in our quasi-
experimental approach. Our results support the need for implementation of
health information exchanges as a potential solution to reduce incidences of
duplicate tests.
2 - Manpower Planning for Health Care Services
Utpal Bhattacharya, Dr., Indian Institute of Management Indore,
Prabandh Sikhar, Indore, MP, 453556, India,
utpalb@iimidr.ac.inThe article Manpower planning for health care services “ introduces various key
issues on management of manpower system for health care services. The
motivation in this article is to make a study on how to choose proper type of
manpower as and when required, upgrading the existing people, managing the
attrition rate by using various measures, giving promotions to the employees, in
order to keep healthy atmosphere in the organization.
3 - Optimal Block Scheduling for the Operating Room Suite:
From Tactical to Strategic Planning
Thomas Sexton, Professor, Stony Brook University, College of
Business, Stony Brook, NY, 11794-3775, United States of
America,
thomas.sexton@stonybrook.edu, Kenneth Rosenfeld,
Melissa Dolan, Kelly Stickle, Herbert Lewis
We present a multicriteria nonlinear optimization model for allocating operating
room time among surgical services in a major academic medical center. The
model incorporates three objectives: the hospital’s financial success; its overall
mission; and its contribution to community needs. These factors elevate OR
scheduling from the tactical realm, with its focus on utilization, to the strategic
realm, in which the OR suite is viewed as central to the hospital’s higher-level
objectives.
4 - Can Obesity be Completely Eradicated by Physical Activity?
He Huang, Beijing Institute of Technology, Beijing, 100081,
China,
huanghe@bit.edu.cn,Yaohui Pan, Yahong Chen,
Tianmei Wang, Zhijun Yan
The inter-person dynamics of obesity epidemic have rarely been revealed. We
develop a belief decision model to simulate the spreading of two competing
obesity-related behaviors from people to people. Results show that both behaviors
have thresholds, below which obesity will be quickly eradicated, and that social
discrimination may play contrary effects in different cases.
5 - An Ordering Heuristic for RBCS under Multiple Independent
Sources of Supply
Karti Puranam, Assistant Professor, La Salle University, 1900 W
Olney Ave, Philadelphia, PA, 19141, United States of America,
puranam@lasalle.edu, Marilyn Lucas, David Novak
We introduce a multi-period, perishable inventory model under two independent
sources of supply, where blood is randomly transferred from hospitals to a large
blood bank. We formulate a dynamic program to solve the multi-period cost
minimization problem. We compare our results to the ordering policy that was
followed in practice.
MB38
38-Room 415, Marriott
Applied Probability II
Contributed Session
Chair: Chiel Van Oosterom, PhD Student, Eindhoven University of
Technology, P.O. Box 513, Eindhoven, 5600MB, Netherlands,
c.d.v.oosterom@tue.nl1 - Statistical Inference Theory using Truncated Statistics
with Applications
Byung Rae Cho, Professor, Clemson University, 152 Freeman
Hall, Clemson, SC, 29634, United States of America,
bcho@clemson.edu, Russell Krenek
There are many production situations where specification limits on a process are
implemented externally, and the end product is typically reworked or scrapped if
its performance does not fall in the tolerance range. As such, the actual
distribution after inspection becomes truncated. The purpose of this presentation
is to develop a set of hypothesis testing procedures under this truncated
environment and explore application areas.
2 - Development of Convolutions for Industrial and
Service Processes
Russell Krenek, Graduate Student, Clemson University, 129
Freeman Hall, Clemson, SC, 29634, United States of America,
rkrenek@g.clemson.edu, Byung Rae Cho
Understanding truncated random variables and their roles in production
inspection processes is a key to modern industry, as this type of review arises in
many engineering applications. It is important to note that these production
inspection processes require the convolution of truncated distributions due to
multiple production stages. This paper focuses on the development of the
convolutions resulting from truncated normal and truncated skew normal
random variables, and their applications.
3 - Condition-based Repair Prioritization in Repairable Inventory
Supply Chains
Chiel Van Oosterom, PhD Student, Eindhoven University of
Technology, P.O. Box 513, Eindhoven, 5600MB, Netherlands,
c.d.v.oosterom@tue.nl, Geert-jan Van Houtum
We propose a model for exploiting condition information to dynamically prioritize
repairs in a capacitated repair shop. The repair shop supports a system with a
number of different repairable components. The system is down whenever a
component fails and no ready-for-use spare part is available for that component.
The objective in prioritizing repairs is to maximize the long-run availability of the
system.
4 - Calendar-based Age Replacement Policy with Dependent
Renewal Cycles
Maliheh Aramon Bajestani, University of Toronto, Unit 804, 141
Davisville Ave, Toronto, ON, M4S 1G7, Canada,
maramon@mie.utoronto.ca,Dragan Banjevic
We introduce an age-based replacement policy in which the preventive
replacements are restricted to specific calendar times. This policy is logistically
applicable in industries, having large and geographically diverse populations of
deteriorating assets with different installation times. Using the theory of Markov
chains with general state space and a suitably defined ergodic measure, we
analyze the policy, minimizing the long-run expected cost per time unit.
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