Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TC78

Federally-qualified health center (FQHC) providers can receive federal incentives for activities such as participation in “Meaningful Use of electronic health records (EHRs). While there is evidence of the positive impacts of EHR implementation, other research suggests that a focus on Meaningful Use can cause distractions and negatively impact health outcomes. Using national data, we conduct a data envelopment analysis to examine how quality and efficient care of patients with chronic conditions are associated with EHR implementation at FQHCs. 2 - Woody Biomass use for Biopower and its Impact on Forest Resources Ashkan Mirzaee, University of Missouri, Columbia, MO, 65201, United States, Ronald McGarvey, Francisco X. Aguilar Energy derived from woody biomass is a major source of renewable energy in the U.S. Its use in biopower has experienced significant growth in recent decades. In spite of the ample use of wood in biopower, knowledge about its estimated impact on forest resources is limited. In this research, statistical analyses are performed to evaluate changes in forest attributes over time within wood procurement areas. An MILP model is then developed to minimize the total cost of generating the required electricity projected to be demanded by the EIA through 2030, with environmental and spatially-explicit woody biomass availability constraints. 3 - Developing and Applying Predictive Models for Flood Impacts as Part of Advanced Operational Planning for Disaster Response Kiatikun Louis Luangkesorn, Assistant Professor, University of Pittsburgh, 1028 Benedum Hall, 3700 Ohara St, Pittsburgh, PA, 15261-0001, United States, Sanjeev Goyal, Michael Whitehead In a major disaster response, outside assistance is often delayed due to the need to determine what resources are required before identifying and mobilizing those resources. We use a predictive model to determine the resources required for mass care (feeding and sheltering) response following a major flood based on the use of real time flood gage and demographic information from the social vulnerability index. These predictions can be used as the basis for initial estimates of resource requirements to begin mobilizing resources in a more timely way, with adjustments being made as better information becomes available. This model has been used to inform the response to flooding in the U.S. in Spring 2018. n TC78 West Bldg 213B Alternative-Fuel Vehicles Refueling and Routing Problems II Sponsored: Location Analysis Sponsored Session Chair: Ismail Capar, Texas A&M University, College Station, TX, 77843- 3367, United States Co-Chair: Yudai Honma, The University of Tokyo, Tokyo, 153-8505, Japan 1 - Planning for Electric Vehicles: Maryland Case Study Sevgi Erdogan, University of Maryland, College Park, MD, United States, Ismail Capar, Ibrahim Capar, Mohammad M. Nejad Many states in the US have been deploying public battery charging stations to accelerate adoption of plug-in electric vehicles (PEVs). This research proposes an optimization-based approach to support EV infrastructure planning efforts. We use the flow-refueling location model to determine the location of public charging stations that would capture the maximum EV flow while preventing over- concentration of locations among other state specific policy constraints such as serving to designated EV corridors. We specifically use demand projections for years 2020 and 2040 for Maryland to create an electric vehicle charging network to facilitate long-distance travel throughout the state. 2 - Promoting the Usage of Electric Vehicles Through the Efficient Design of Charging Station Network Mohammad Miralinaghi, Purdue University, 550 W. Stadium Ave, West Lafayette, IN, 47907, United States, Gonzalo Correia, Sania E. Seilabi, Samuel Labi This study proposes a framework to curb vehicular emissions by promoting the electric vehicle (EV) as an alternative to internal combustion engine vehicle on a long-term planning horizon in urbanized regions. In this framework, transportation planners seek to gradually install new electric charging stations by selecting new locations and/or repurposing existing gas stations. A bi-level model is developed to capture the decision-making process of both transportation planners and travelers. This study shows that as the transportation planner constructs EV charging stations, travelers are motivated to shift toward EVs which leads to significantly lesser vehicular emissions in the long run.

n TC76 West Bldg 212C Joint Session MIF/HAS: Medical Decision Making Sponsored: Minority Issues Sponsored Session Chair: Shannon Harris, The Ohio State University, Columbus, OH, 43203, United States 1 - Revenue Management with Random Resources Luis G. Vargas, University of Pittsburgh, Operations, Decision Sciences and AI, 356 Mervis Hall, Pittsburgh, PA, 15260, United States We consider how to set the protection level in a system with two groups of customers when the resource demands of the customers are random variables. We operate a flat-fee legal clinic that serves both walk-in customers and those covered by employer-sponsored legal insurance. Consultation times are random obtained from historical data for customers of either type. Professional ethics require you to take customers on a first-come-first served basis and to complete a consultation no matter how much time it requires. Customers covered by legal insurance pay less for a consultation than do walk-ins. How much of the fixed opening hours of the clinic should you reserve for walk-in customers? 2 - A Decision Support System for Augmentative and Alternative Communication Device Selection Eduardo Perez, Assistant Professor, Texas State University, Roy F. Mitte Complex, 749 N. Comanche St., San Marcos, TX, 78666, United States, Mahima Sajan Varghese, Amy L. Schwarz The goal of this research is to improve services for patients in need of Augmentative and Alternative Communication (AAC). In this talk, a methodology is presented to help selecting the devices to consider for a patient based on a disability profile. Currently, the decision-making process of what device to try on the patient is largely based on the health professional’s experience and familiarity with specific devices or companies. The proposed models will limit patient discomfort and reduce device assessment time by helping in selecting the best fit based on the patient’s disability profile. 3 - Evaluating a Prediction Driven Targeting Strategy for Reducing Transmission of Multidrug Resistant Organisms Sean Barnes, Univ of Maryland-College Park, 4352 Van Munching aureusùto develop and evaluate the effectiveness of a prediction-driven approach for targeting patients for intervention, based on their daily likelihood of becoming colonized by the organism. We show that we can predict these outcomes with moderate-to-high accuracy, and that these predictions can be used to efficiently target patients for intervention and ultimately reduce the overall acquisition rate across the entire unit. 4 - CODAP: An Action Plan for Decision Making and Knowledge Discovery Lincoln J. Chandler, Chandler Decision Services, 1224 S. Central Park, Floor 2, Chicago, IL, 60623, United States, William A. Massey Motivated by a desire to support policy development and multidisciplinary collaboration, we propose an adaptable, iterative framework for managers and researchers. We refer to the action steps of the framework as CODAP, where: CODAP = Collect, Organize, Describe, Analyze, Prescribe. Taken in order, these action steps define a path of inquiry from observation (data) to informed response (policy). In a broader context, each individual action of CODAP aligns to a research narrative, with its own goal, motivation, and outcomes. In a literary sense, the narratives can be thought of as parts of a larger narrative, or saga. This talk will introduce the framework and provide some examples of application. n TC77 West Bldg 213A Evaluating Efficiency in the Public Sector Sponsored: Public Sector OR Sponsored Session Chair: Ronald McGarvey, University of Missouri, IMSE and TSPA, Columbia, MO, 65211, United States 1 - Health Center Efficiency and Quality of Chronic Disease Management: Associations with EHR Implementation Andreas Holger Thorsen, Montana State University, 11 N. Chouteau Avenue, Bozeman, MT, 59718-6211, United States, Ronald G. McGarvey, Maggie L. Thorsen Hall, 20742, United States, Miranda Myers, Clare Rock, Daniel Morgan, Lisa Pineles, Kerri Thom, Anthony Harris The transmission of multidrug-resistant organisms (MDROs) in the healthcare setting is an ongoing challenge. In this study, we leverage an agent-based model of MDRO transmissionùfocusing on methicillin-resistant Staphylococcus

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