2015 Informs Annual Meeting

WE36

INFORMS Philadelphia – 2015

2 - Effect of Meat Price on Health Outcomes Allison Pitt, Graduate Student, Stanford University, 475 Via Ortega, 212I, Stanford, CA, 94305, United States of America, alpitt@stanford.edu, Eran Bendavid We simulate the changes in obesity prevalence, mortality, and quality of life of adults in the United States from a sustained shift in meat price such as those that may result from volatility in global food markets or from policies. We highlight the differential impact across subpopulations defined according to race and gender. 3 - Fear as Contagion: The Ebola Crisis and Public Fear Networks a System Dynamics Approach Nasser Sharareh, Binghamton Univeersity, 99 Schubert, Binghamton, NY, 13905, United States of America, nsharar1@binghamton.edu, Nasim Sabounchi The most important problems during a period of crisis in any country is how to respond to the public’s fear. There has been a lot of research investigating epidemic diseases, However, a few of these have employed a system dynamics (SD) approach to demonstrate the relationships between pandemics and the public response to fear, and the public perception of epidemic. In this study, an SD model has been developed to study the hidden relations that spread the disease. 4 - Is it a Solution? Findings from HIMMS Data Liuliu Fu, PhD Candidate, Old Dominion University, 5413 Walton Avenue, Norfolk, VA, 23508, United States of America, luna.foe@gmail.com, Ling Li, Li Xu Our research uses the HIMSS 2014 analytics database to identify the implementation of IT on US hospitals as well as the impact of IT on these hospitals. SEM models are constructed. Research questions: 1) What are the influential factors of hospital performance? 2) Whether Information System plays a role to improve hospital performance? If so, what’s the mechanism that IS influence the performance? And 3)For different type of hospitals, whether IS affects the performance differently? If so, Why? 5 - Blood Inventory Performance Improvement via Substitution Order Optimization Gina Dumkrieger, ASU, 1151 S. Forest Avenue, Tempe, AZ, 85281, United States of America, gina.dumkrieger@asu.edu When allocating limited resources of a substitutable, perishable good, such as blood, substitution order is important. Research shows that by optimizing the blood type substitution order arrival of the first unserved patient can be delayed. WE36 36-Room 413, Marriott Optimization in Cyber and Physical Systems Sponsor: Public Sector OR Sponsored Session Chair: Justin Yates, Professor, Francis Marion University, 4822 E Palmetto St, Florence, SC, United States of America, jyates@fmarion.edu Security practices are based on traditional risk equations relying heavily on expert opinion and estimation. The proposed model measures the strength rating of a facility based on current and available detection and delay components to effectively allocate/improve security resources. Testing is conducted on a various facility models that mimic real-world structure. 2 - Data Fusion Methods for Emergency Logistics Robert Pavur, Professor, University of North Texas, 1307 West Highland Street, College of Business, Denton, TX, 76201, United States of America, Robert.Pavur@unt.edu, Huguette Tran Data fusion methods, based on Shannon’s Entropy, are often employed in emergency logistics. Implementation of these techniques to estimate casualties or survivors has to be carefully considered. These methods may yield results equivalent to standard statistical estimators. Shannon’s entropy, invariant to permutations of values of discrete variables, makes the formulation of the estimator inefficient if enough categories are not selected. We compare traditional and entropy-based procedures. 1 - Network Models for Nuclear Facility Security Justin Yates, Professor, Francis Marion University, 4822 E Palmetto St, Florence, SC, United States of America, jyates@fmarion.edu, Sambridhi Bhandari, Sergiy Butenko

3 - Proactive Cost-effective Risk Mitigation in a Supply Chain using Fault-tree Analysis Michael Sherwin, Mississippi State University, 1767 Independence Way, Valencia, PA, 16059, United States of America, mdsherwin@gmail.com, Hugh Medal, Steven Lapp Fault-tree analysis (FTA) is a well-accepted methodology in reliability engineering for analyzing risks within a system. In this paper we present an approach for constructing a fault-tree to assess risk within a supply chain. The top-level event of interest is the delay in delivering a product to a customer and lower-level events represent the causes and associated probabilities of disruptions within the supply-chain for the product being studied. 4 - A Computational Approach to Determine Damage in Infrastructure Systems from Outage Reports Huy Nguyen, Research Assistant, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180, United States of America, nguyeh7@rpi.edu, Thomas Sharkey We consider the problem of determining damaged components in an infrastructure system given outage reports from customers. This is important in the context of cyber attacks on the information/control systems of the infrastructures since these attacks can induce incorrect information about the status of components. We develop an integer programming approach that iteratively determines a set of components to inspect whose damage would best replicate the outage report. 5 - Blastoff: A Stochastic MILP Approach to Satellite Orbital Maneuvers to Collect Forest Fire Data Aaron Hoskins, PhD Student, Mississippi State University, Industrial & Systems Engineering, Starkville, MS, United States of America, abh318@msstate.edu, Hugh Medal Forest fires cause considerable loss of life and property each year, but more data being available to fire crews can help to mitigate the loss. Satellite data is a data source that is under utilized due to the fact that the satellite’s orbit can preclude it from collecting the most valuable data. This research applies a MILP approach to the altering of satellite trajectories to improve the data collected by a satellite of a forest fire. Chair: Jessye Bemley, North Carolina A&T State Uinversity, 1601 East Market St., McNair Hall 419, Greensboro, NC, 27409, United States of America, jlbemley@gmail.com 1 - Risk Adjustment and Low Income Subsidy Distortions in Medicare Part D Daniel Miller, Assistant Professor, Clemson University, Dept. This paper reveals distortions in the largest health exchange, Medicare Part D, related to the design of the Low Income Subsidy program and the three “Rs” of Part D’s risk adjustment sharing mechanism (risk adjustments, risk corridors, reinsurance). I document price distortions, biases in risk adjustments, and evidence of insurers and drug suppliers price discriminating to exploit these biases. In conclusion, I discuss policy considerations for designing health exchanges. 2 - Causes and Consequences of Telemedicine Adoption in Clinics with Clinical Decision Support System Telemedicine, the technology-enabled remote delivery of clinical care, is one potential means to improve patient access to health care services. Yet, little is known on antecedents and consequences of current adoption. We investigate how geographical, socioeconomic and organizational characteristics determine the adoption, and examine how telemedicine impacts clinical care effectiveness. 3 - For-profit Vs. Nonprofit: Strategies for Competition and Collaboration in Continuing Care Chengcheng Fan, Stanford University, 44 Olmsted Rd, #408, Stanford, CA, 94305, United States of America, fancc@stanford.edu For-profit organizations have risen as a new form of entrepreneurism in healthcare industry. In this paper, I first examine the impact of ownership status on occupancy rate, price, and resident satisfaction in continuing care industry through an empirical study in California. Second, I set up a two-sided market framework to model the competition between for-profit and nonprofit CCRCs. The results provide new insights to understand the increase of for-profits’ market share in healthcare. Economics, 228 Sirrine Hall, Clemson, SC, 29670, United States of America, dmille7@g.clemson.edu Xiaojin Liu, University of Minnesota, 321 19th Ave S, Minneapolis, MN, 55455, United States of America, liux1591@umn.edu, Susan Goldstein, Karen Soderberg, Kingshuk Sinha WE37 37-Room 414, Marriott Health Care Strategy and Policy III Contributed Session

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