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INFORMS Philadelphia – 2015

378

3 - Decomposition Algorithm for Two-stage Stochastic Integer

Programs with Deviation Risk Measures

Saravanan Venkatachalam, Texas A&M University,

3131 TAMU, College Station TX 77843

,saravanan@tamu.edu,

Lewis Ntaimo, Bernardo Pagnoncelli

In this talk, we present a decomposition algorithm for two-stage stochastic integer

programs (SIP) with absolute semi-deviation (ASD) risk measures. These types of

problems are hard to decompose due to the lack of amenable problem structure.

We propose a methodology that uses the information from expected excess risk

measure to solve SIPs with ASD risk measures. Preliminary computational results

will be presented.

WA14

14-Franklin 4, Marriott

Advances in Information Modeling

Sponsor: Optimization/Optimization Under Uncertainty

Sponsored Session

Chair: Eugene Perevalov, Lehigh University, 200 W Packer Ave,

Bethlehem, PA, United States of America,

eup2@lehigh.edu

1 - Information Sources’ Knowledge Structure, Question/Answer

Depth and Information Relevance

Eugene Perevalov, Lehigh University, 200 W Packer Ave,

Bethlehem, PA, United States of America,

eup2@lehigh.edu,

Xing Wang

To optimize the process of information acquisition, a problem solving agent

analyzes both the available information and the information relevant to the given

problem, and, based on such analysis, selects the information source(s) that can

help obtain the largest improvement of the solution quality. Currently, this is

done on a largely ad hoc case-by-case basis. Our goal is to develop a general

theory providing a regular way of performing such a selection.

2 - Towards the Full Information Theory: Knowledge Structure of

Information Sources

Xing Wang, Lehigh University, 200 W Packer Ave, Bethlehem,

PA, United States of America,

xiw313@lehigh.edu,

Eugene Perevalov

The classical Information Theory was able to properly describe the sheer quantity

of information which allowed for optimization of information transmission

leaving the process of information acquisition still in the “pre-theoretical” state

relying on ad-hoc approaches. We initiate the study of the latter which makes it

necessary to describe the ability of information sources to change the agent’s

information state depending on the specific information requested.

3 - Using Network Diversity in Analytics and Visualization

Seifu Chonde, Student, The Pennsylvania State University,

311 Leonhard Building, University Park, PA, 16802,

United States of America,

sjc294@psu.edu

, Soundar Kumara

In 2007, the Rao-Stirling diversity framework was introduced to capture changes

in the variety, balance, and disparity among nodes in networks. We extended this

diversity measure to include coherence, which captures network density. We

show how our diversity measure improves approaches in clustering, link

prediction, and tracking evolutionary networks. We use a case study in drug

design with hundreds of thousands of journal articles to motivate the study of

diversity.

WA15

15-Franklin 5, Marriott

Monitoring and Prevention of Hospital

Acquired Infections

Sponsor: Optimization in Healthcare

Sponsored Session

Chair: Eduardo Pérez, Assistant Professor, Texas State University,

601 University Drive Ingram School of Eng, San Marcos, TX, 78666,

United States of America,

eduardopr@txstate.edu

1 - Network Effects on Hand-hygiene Behavior

Reidar Hagtvedt, University of Alberta, Edmonton, AB, Canada,

hagtvedt@ualberta.ca,

Brian Whiteside,

Bruce Wright, Sarah Forgie

Hand-hygiene in healthcare settings is a phenomenon that has been studied a

great deal, both on the individual and on the group level, but to our knowledge

detail on the group working as a network in this context has not been studied.

We use sociometric badges to gather data from a large teaching hospital and

estimate network statistics. We then model the relationship between the network

and individual behaviors.

2 - Agent-Based Mediation Modeling of a Controlled Trial to Reduce

Transmission of Resistant Organisms

Sean Barnes, University of Maryland, 4352 Van Munching Hall,

University of Maryland, College Park, MD, 20742, United States

of America,

sbarnes@rhsmith.umd.edu

, Daniel Morgan,

Lisa Pineles, Anthony Harris

In 2012-2013, the University of Maryland School of Medicine led a 20-site trial to

assess the benefits of universal gloves and gowns in reducing the transmission of

multidrug-resistant organisms in acute-care hospitals. We develop an agent-based

model to simulate transmission in an ICU, and calibrate this model to best match

the outcomes from the 20 sites. Then, we validate the model against the study’s

analysis, and perform a factorial design to quantify the direct benefit of this

intervention.

3 - A Systems Approach to Reducing Central Line Associated Blood

Stream Infections

Eva Lee, Georgia Institute of Technology,

eva.lee@gatech.edu

The study aims to reduce central line associated bloodstream infections (CLABSI)

at Grady Hospital by 20% from current levels. A systems model is designed that

comprises the entire process of central line insertion and maintenance. Hospital

data is analyzed to identify potential increased risk of CLABSI-related deaths. An

second objective includes predicting death among CLASBI-infected patients while

minimizing Type II errors; enabling providers to intervene early to reduce

unnecessary deaths.

4 - Assessing CAUTI Prevention Interventions in Intensive Care Units

Eduardo Pérez, Assistant Professor, Texas State University, 601

University Drive Ingram School of En, San Marcos, TX, 78666,

United States of America,

eduardopr@txstate.edu

This research extend the current methods for addressing CAUTIs to a new level

beyond the current state of practice by introducing a new simulation model for

system assessment and determination of the clinical efficacy and effectiveness of

CAUTI preventive interventions. The simulation model provide a platform where

specific interventions can be computed and analyzed, giving an idea on possible

expectations of the intervention before clinical research is conducted.

WA16

16-Franklin 6, Marriott

Game Theory II

Contributed Session

Chair: Chuangyin Dang, Professor, City University of Hong Kong,

Dept. of SEEM, 83 Tat Chee Avenue, Kowloon, Hong Kong - PRC,

mecdang@cityu.edu.hk

1 - Royalty Licensing Mechanisms in a Leadership Structure

Masashi Umezawa, Professor, Tokyo Univesity of Science, School

of Management, 500 Shimokiyoku, Kuki, Saitama, 346-8512,

Japan,

m.umezawa@gmail.com

This paper studies a patent licensing of a cost-reducing innovation which is

developed by an internal patentee, one of the firms of the industry. Royalty

licensing is mainly focused. Most patent licensing contracts observed empirically

include either per-unit or ad valorem royalties. We consider that in a Stackelberg

duopoly which types of royalty the patentee prefers. Moreover, we examine the

effect of royalty licensing from the point of consumers and social welfare.

2 - Horizontal Product Differentiation in the Presence of

Core Products

Hiroki Kishihara, Keio University, Hiyoshi 3-14-1 Kohoku-ku,

Yokohama, Japan,

kishihara@z5.keio.jp

, Nobuo Matsubayashi

We study horizontal product differentiation between two firms by a game-

theoretic approach. We suppose that to introduce their new products, firms must

incur ``repositioning cost” which increases with the position difference from their

core products exogenously given in a product space. We show that the presence

of repositioning costs can have a significant impact on the equilibrium outcomes,

which also depends on their cost structures.

3 - A General Method for Checking the Core Emptiness of Traveling

Salesman Games

Lei Sun, Development Specialist, Praxair Inc., 175 E. Park Dr.,

Tonawanda, NY, 14150, United States of America,

Lei_Sun@Praxair.com

, Mark Karwan

We study the core of traveling salesman games from an optimization perspective

and propose a new variant of the traveling salesman problem building a link

between the two problems. An exact formula is found to measure the gap

between the best achievable cost allocation and the core. With network

optimization models and algorithms, we develop an implementable method to

check whether an empty core exists in general for both symmetric and

asymmetric traveling salesman games.

WA14