Table of Contents Table of Contents
Previous Page  483 / 561 Next Page
Information
Show Menu
Previous Page 483 / 561 Next Page
Page Background

INFORMS Nashville – 2016

483

3 - Determinants For A Sustainable Relationship In Outsourcing –

A Case Study

Mousumi Modak, PhD Student, IIT Kharagpur, Room No-1F-4,

VGSOM, IIT Kharagpur, West Midnapore, West Bengal,

Kharagpur, 721302, India,

mousumimodak10@gmail.com,

Khanindra Pathak, Kunal Kanti Ghosh

The growing dependence of firms on service providers for achieving competitive

advantage has necessitated the development of long-term sustainable relationship

with them. Opportunism has been recognized as one of the vulnerabilities

affecting an enduring relationship. The objective of this paper is to examine the

antecedents of opportunism and identify their effects on the exchange

relationship in the context of outsourcing for the coal mining organization in

India.

4 - Strategic Disclosure Of Environmental And Social Performance:

Greenwashing In Supply Chains Under Activist Pressure

Avijit Raychaudhuri, Doctoral Candidate, Nanyang Technological

University, Division of IT & Operations Management, 50 Nanyang

Avenue, South Spine S3-01B-73, Singapore, 639798, Singapore,

avijit001@e.ntu.edu.sg,

S Viswanathan, Fang Liu

Economic gains derived by firms from voluntarily disclosing positive and negative

environmental and social performances are generally complicated. Greenwashing

occurs when a firm voluntarily discloses information about its performances in

such a way that it portrays an overall greener image than what it actually is. We

characterize a firm’s optimal policy for disclosure of environmental and social

performances under non-linear and non-monotonic economic gains from

disclosure derived by the firm. Further, we study the efficacy of activist power of

penalizing a greenwashing firm in accordance with the magnitude of

greenwashing, as opposed to penalizing according to a fixed penalty.

WD88

Broadway B-Omni

Military Applications IV

Contributed Session

Chair: Fikri Kucuksayacigil, Iowa State University, 610 Squaw Creek

Drive, Unit 18, Ames, IA, 50010, United States,

fksayaci@iastate.edu

1 - Finding A Hider By An Unknown Deadline

Kyle Y Lin, Associate Professor, Naval Postgraduate School,

1411 Cunningham Rd, Monterey, CA, 93943, United States,

kylin@nps.edu

, Dashi Singham

An object is hidden among several locations. Each search at the object’s location

independently finds the object with some location-dependent probability. The

goal is to find the object by a deadline, but the deadline is unknown. Assuming

the worst-case scenario, where Nature knows the deadline and uses this

knowledge to hide the object to hinder the search, this paper shows that there is a

randomized search strategy that simultaneously maximizes the probability of

finding the object by any deadline.

2 - Planning Effective Police Patrol Routes On Urban Road Networks

Ruben Dario Yie Pinedo, Universidad del Norte, Barranquilla,

Colombia,

ryie@uninorte.edu.co,

Andrea Margarita Ditta Narváez

It is well-known that police patrolling is one of the best preventive practices for

public safety against urban crimes. This work, deals with the problem of planning

police patrol routes to minimize the overall risk at minimum cost. A specific

mathematical formulation models the problem, under critical time constraints and

resources. Algorithms of local search and evolutionary techniques, offers effective

solutions for this model. A case study in Barranquilla (Colombia), allows validate

the performance of our approach in real scenarios.

3 - Modeling Long Term Radiation Fatalities In The National

Operational Environment Model

Venkat Venkateswaran, Rensselaer Polytechnic Institute,

Room 725, RPI-Hartford, Hartford, CT, 06120, United States,

venkav3@rpi.edu

The National Operational Environment Model is a systems dynamics model that

recreates in software a model of any nation of interest. The goal is to capture the

essential features of the nation so that an analyst can then simulate and analyze

in software different intervention actions. We describe our models for estimating

long term radiation fatalities arising from a nuclear explosion. They are based on

the latest update of the long-running Life Span Study which we briefly describe.

These long term fatalities appear in two disease groups: cancers and heart and

circulatory diseases.

4 - Development Of Text Analytic Tools Focused On Application To

Military Specific Corpora

Nathan L Parker, MAJ, TRADOC Analysis Center - Monterey,

700 Dyer Road, Room 178, Monterey, CA, 93943, United States,

nparker@nps.edu,

Theodore T Allen, Zhenhuan Sui

Large volumes of free text data present many challenges to analysts, especially

when working in time-constrained environments. This research focuses on the

development of text analytic tools, primarily topic model based, that can enable

military analyst to quickly process large free text data sets. This presentation will

discuss our research into text analytic tool development, including supporting

visualizations, along with the application of the tools in several field use cases.

WD90

Broadway D-Omni

Health Care, Strategies

Contributed Session

Chair: Tuomas W Sandholm, Professor, Carnegie Mellon University,

Gates Center for Computer Science, Carnegie Mellon University,

Pittsburgh, PA, 15213, United States,

sandholm@cs.cmu.edu

1 - Assessing The Long-term Value Of Non-clinical Prevention:

Improving Life Paths Through Early Childhood Investments

George J. Miller, Institute Fellow, Altarum Institute, 3520 Green

Court, Suite 300, Ann Arbor, MI, 48105, United States,

george.miller@altarum.org,

Charles Roehrig

We illustrate use of a life-path approach to estimate the long-term benefits of

early childhood interventions such as perinatal home visits and preschool

education. A life path describes an age cohort’s progression through the life

course, as characterized by rates of morbidity, mortality, health care costs,

earnings, incarceration, and public support. The approach represents the effects of

an intervention as a shift from one multi-dimensional life path to a more

favorable one and estimates the associated economic value to potential investors,

including federal, state, and local governments.

2 - A System Dynamic Model Of Human Papillomavirus Vaccination

Nasser Sharareh, PhD Student, State University of New York at

Binghamton, Binghamton, NY, United States,

nsharar1@binghamton.edu,

Nasim Sabounchi, A. Serdar Atav,

Nicole Rouhana

Human papillomavirus (HPV) is a sexually transmitted infection (STI), with a

8.1% incidence rate among boys aged 13-17 years within United States. Although

HPV vaccination is available, however the vaccination rate in 2014 was only 22%

among boys. It is necessary to study the barriers and facilitators in increasing the

uptake of the vaccine among this group of adolescents. In this paper we use a

system dynamics simulation method to understand how psychological, socio-

economic, and health system factors influence the completion of recommended

series of HPV vaccination among adolescents boys.

3 - Hospital Payment Schemes Under Competition

Zheng Han, University of Kansas, Lawrence, KS, United States,

hanzheng@ku.edu,

Mazhar Arikan, Suman Mallik

We consider two hospitals competing for patients and operating under different

payment schemes. Using a game-theoretic approach, we determine equilibrium

operating parameters and develop intuitions for healthcare policies.

4 - Sequential Planning For Steering Immune System Adaptation

Tuomas W Sandholm, Professor, Carnegie Mellon University,

Gates Center for Computer Science, Carnegie Mellon University,

Pittsburgh, PA, 15213, United States,

sandholm@cs.cmu.edu

,

Christian Kroer

Biological adaptation is a powerful mechanism that makes many disorders hard to

combat. We study steering adaptation through sequential planning. We propose a

general approach that leverages Monte Carlo tree search to compute a treatment

plan, and the biological entity is modeled by a simulator. We apply the framework

to a leading T cell simulator. We run experiments with two alternate goals:

developing regulatory T cells or effector T cells. The former is key for preventing

autoimmune diseases; the latter is associated with better survival rates in cancer

patients. We show that for the development of regulatory cells, sequential plans

yield significantly higher utility than the best static therapy.

WD90