2016 INFORMS Annual Meeting Program

POSTER SESSION

INFORMS Nashville – 2016

Cost Minimization Of Government Issued Cell Phones John Yannotty, Slippery Rock University, 1 Morrow Way, Slippery Rock, PA, 16057, United States, jcy1001@sru.edu, Alexander Reid Barclay Increasing costs associated with cell phone circuits has led the United States Government to study consolidation of its wireless network in attempt to minimize annual expense while maximizing efficiency. During consolidation, Private Virtual Channels (PVCs) are transferred from either low utilized or expensive circuits to existing circuits with higher utilization and lower annual cost. The consolidation process is further constrained by region, service package (VCI code), and utilization capacity per circuit. Through the use of an optimized network annual expenses are decreased from approximately $11 million to $3.1 million. Applications Of Text Mining Techniques To Fleet Health And Maintenance Data Bingjing Yu, Analyst I, Boeing Vancouver, 1146 Homer Street, Vancouver, BC, V6B 2X6, Canada, bingjing.yu@aeroinfo.com, Candice Chan, Gaku Tobinobu, Ehsan Nobakht Textual data is one of the richest data sources for fleet health and maintenance analytics. Taking advantage of these information is the key for optimizing airline’s and Boeing’s business. Due to its large volume and highly unstructured nature, however, its full potential is rarely leveraged. Advanced Analytics group works on text analytics projects with airlines in the areas such as reliability, maintenance program and Boeing customer support. Case studies on how we help businesses by applying natural language processing, machine learning and visualization techniques will be presented. A Cross Comparison Of Proactive And Reactive Mitigation Policies For Regions Experiencing Repeated Hazards Chengwei Zhai, University of Michigan, Ann Arbor, 1205 Beal Ave, Ann Arbor, MI, 48109, United States, cwzhai@umich.edu, Allison C Reilly, Seth Guikema Repeated disasters affect various areas differently. We hypothesize that much of this variation may be explained by regional policies that influence building codes, constituents understanding of the hazard, and homeowners’ decision to mitigate. This work builds an agent-based model that integrates a physical hazard model with a homeowner decision model to understand how various policy options promote mitigation. A case study using household-level data from 9 counties in Maryland that experience hurricanes is presented to demonstrate how various policies might affect the region’s vulnerability. Second-order Conic Robust Optimization With Application To Radiation Therapy Treatment Planning Of Breast Cancer Zengbo Zhang, Beijing Institute of Technology, Beijing Institute of Technology, Beijing, 10081, China, zhangzengbo_1999@163.com, Zihao Jiao We incorporate robust optimization into CVaR to formulate a loss distribution under uncertainty. We demonstrate an application of our model to the radiation therapy treatment planning problem of breast cancer. In this therapy process, the dose distribution dependented on each state is uncertain. Our framework generalize and develop this type of uncertainty and that the uncertainty set is ellipsoidal, then the formulation can be re-written as second-order conic programs. Monte Carlo simulation example are presented to illustrate the proposed approach. Our results increased dosimetric performance for former treatment planning methods and improved cardiac sparing. Study Of Patient Satisfaction Perception Based On Medical Experience And Health Cognition Jianjie Zhang, Beijing Institute of Technology, Beijing, China, zhjj_2013@163.com, Jinlin LI, Rong Zhang, Jian Xue This paper examines patient experience and health cognition in outpatient from nine cities of China.By conducting discrete choice experiments,we identify discrepant patients in several attributes and the individual-difference about the health cognition that can explain such discrepancy.For the high degree of the health cognition patients,medical environment and waiting time affection is not significant.however,for the low degree of group,both two attributes affect significantly.In addition to providing the empirical description in China’s healthcare market,our study offers patient behavioral optimization suggestions to improve patient satisfaction perception. Accelerating The Adoption Of Bundled Payment Reimbursement Systems: A Data-driven Approach Utilizing Claim Data Wenchang Zhang, Graduate Assistant, University of Maryland, 7621 Mowatt Ln, College Park, MD, 20742, United States, wzhang@rhsmtih.umd.edu Bundled payments as a reimbursement mechanism have the potential to reduce health care expenditures. One of the crucial components to the implementation of a bundled payment is to identify procedural homogeneous groups within an episode of care. We propose a data-driven clustering approach to automatically detect and explicitly represent homogeneous sub-groups of services for a given episode of care. We explore the results of clustering two conditions with different complexities. The automatically extracted clusters with different cost patterns highlight the payer’s expenditure and provider’s financial risk under bundled payments.

Integrated Operational And Financial Hedging With Capacity Reshoring

Lima Zhao, Assistant Professor of Supply Chain Finance, WHU - Otto Beisheim School of Management, Burgplatz 2, Vallendar, 56179, Germany, lima.zhao@whu.edu, Arnd H Huchzermeier We consider a multinational corporations (MNC) that adopts capacity reshoring, production switching, and financial hedging to manage supply—demand mismatches and currency risk. Adopting mean-conditional value-at-risk (CVaR) optimization, we decompose operations and finance: Operational flexibility maximizes expected profit subject to CVaR constraint, while financial hedging minimizes CVaR subject to minimum expected profit. We show that: Operational flexibility and financial hedging can be complements, and they are substitutes in risk reduction. Collaboration and coordination between operations and finance is crucial in minimizing the substitution effects. Forecasting Equity Risk Using Firm Risk Disclosures Xiaodi Zhu, Stevens Institute of Technology, Hoboken, NJ, 07030, United States, xzhu@stevens.edu, Steve Yang, Somayeh Moazeni Corporate risk disclosures as part of U.S. public companies’ financial reports provides information about companies’ potential risks. This study analyzes risk types revealed in these risk disclosures and examines their potential predictive power over stock returns. Using 16,110 risk disclosures from 2011 to 2015, we apply Sentence Latent Dirichlet Allocation model to infer risk types and propose a novel algorithm to match new factors with existing risk types which generates 90% correct matches. Our findings provide evidence that the companies’ self- disclosed risk factors have significant impacts on subsequent stock return volatility which can be used to predict potential stock change. Integrating Anode Recycle In A Real-time Solid Oxide Fuel Cell Model With Pressure Loss Amelia McIlvenna, University of Tennessee, 550 Lost Tree Ln, Knoxville, TN, 37934, United States, amcilven@vols.utk.edu Anode recycle helps solve one of fuel cell technology’s major challenges: maximizing fuel utilization without destroying the fuel cell. Anode recycle was added to an existing real-time Solid Oxide Fuel Cell (SOFC) model to investigate effects within the fuel cell. SOFC’s are sensitive to small parameter changes. An increase in fuel mass flow was found to impact pressure losses in the fuel manifold. The updated model allowed for a pipe sensitivity analysis to optimize design of the fuel manifold. This work allows for improvements in SOFC design, and opens avenues to future transient analysis. Information Network Design And Optimization With Social Media In Disaster Management Bairong Wang, Industrial & System Engineering, University at Bufflao, SUNY, 150 longmeadow rd apt 2, buffalo, NY, 14226, United States, bairongw@buffalo.edu, Jun Zhuang Social media becomes a popular information sharing platform during disasters. However, rumors also spread due to the problems that no information gate exists on social media to ensure information accuracy and security. This study analyzes information behavior of both common and official users, and rumor distribution patterns during Hurricane Sandy on Twitter. Our results show that nearly 90 percent of impressions are generated from followers, while one re-tweet can contribute 5,688 impressions on average. Based on results from rumor pattern analysis, we design information spreading and sharing model to debunk rumors during disasters to improve information coverage and efficiency. Flexible High Density Puzzle Storage Network Ehsan Shirazi, West Virginia University, Morgantown, WV, ehshirazi@mix.wvu.edu A puzzle-based storage system has been introduced to replenish and retrieve items from the top and bottom of a highly dense storage system. Each cell of the puzzle storage is considered as a grid. Each grid is able to store an item and or to move items in the south direction. We describe a high density storage system that can retrieve and replenish items from all sides. A puzzle storage with this characteristic is a lot more flexible than what has been introduced before. We will illustrate how this puzzle storage scheme affects replenish and retrieve time based on different network policies, distributions of replenishing and retrieving items, and number of free spaces on the puzzle network Fluid Genetic Algorithm (FGA) Roy Jafari Marandi, Mississippi State University, Mississippi State, MS, rj746@msstate.edu, Brian Smith Genetic Algorithm (GA) has been one of the most popular Optimization meth- ods. A review of the literature shows extensive research attempting to adapt and develop the standard GA. Nevertheless, the essence of GA which consists of dif- ferent concepts rarely has been the focus of recent researchers. In this paper method, Fluid Genetic Algorithm (FGA), some of these concepts are changed, removed, and furthermore, new concepts are introduced. The performance of GA and FGA are compared through seven benchmark functions. FGA not only shows a better success rate and better convergence control, but it can be applied to a wider range of problems including multi-objective and multi-level problems.

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