2016 INFORMS Annual Meeting Program

WD90

INFORMS Nashville – 2016

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. 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. WD88 Broadway B-Omni Military Applications IV Contributed Session

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.

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