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INFORMS Philadelphia – 2015

184

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.edu

1 - 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.in

The 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.nl

1 - 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.

MB37