2015 Informs Annual Meeting

TC01

INFORMS Philadelphia – 2015

74 - Surgical Operations Scheduling with Machine Eligibility and Resource Constraint Shan Wang, Shanghai Jiaotong Univerisity, 704 West 180th Street, First Floor, #4, New York City, NY, 10033, United States of America, wangshan_731@sjtu.edu.cn, Guohua Wan, Huiqiao Su We study a problem in surgical operations scheduling and model it as a resource- constrained machine scheduling problem with eligibility restriction to minimize the makespan. By decomposing it into two subproblems, we develop effective heuristic algorithms to solve the problem. We test the proposed algorithms on randomly generated instances as well as real data set from a large hospital. The numerical results show the effectiveness and potential practical value of the models and the algorithms. 75 - Optimizing System-Level Preventative Maintenance Cost of Multistate Series-Parallel Systems Sallamar Worrell, The George Washington University, 3117 Icehouse Place, Bryans Road, MD, 20616, United States of America, skaw7@gwu.edu, James Moreland Jr., Steve Doskey Maintenance costs for complex systems are often overpaid due to the lack of maintenance harmony between the individual subsystems. The research in this study proposes the use of a new meta-heuristic optimization method, the Grey Wolf Optimizer algorithm developed by Mirjalili and Lewis, to identify the optimal system-level maintenance strategy for multistate series-parallel systems and aims to produce better results than the methods previously applied to this problem in published literature. 76 - Predicting Digital Currency Price from Social and Traditional Media Peng Xie, Georgia Institute of Technology, Room 907, 100 10th Street, Atlanta, GA, 30309, United States of America, peng.xie@scheller.gatech.edu Using daily Bitcoin price data and Bitcoin Forum discussion, we try to understand if social media can affect Bitcoin price and how long does it take. We use the percentage of negative words as the measure of the article sentiment. The results show that social media can affect price. However, for information sources focusing on speculation, the effects on prices are immediate. In contrast, information concerning fundamentals impacts prices in a longer holding period. 77 - The Dimensions of Supervision-subordinate Relationship Liuqing Yang, Xi`an Jiaotong University, No.28, Xianning West Road, Xi’an, China, ylq2011@stu.xjtu.edu.cn, Qiaozhuan Liang Subordinate can form distinguishable social exchange relationships with their immediate supervisor.The exchange resources differ between organizational and personal. Based on the taxonomy, social exchange relationship can development a construct of four dimensions: work, flatter, private, selfless. Various dimension have different impact on performance as a mediator or intervening variable. The construct can explain the puzzle of relationship between social exchange relationship and performance. 78 - Counterfeits, Anti-counterfeit Technology and Monitoring Strategy Shiqing Yao, The Chinese University of Hong Kong, 9/F, Cheng Yu Tung Building, No.12 Chak Cheung Street, Shatin, N.T., Hong Kong, Hong Kong - PRC, sqyaocuhk@gmail.com, Kaijie Zhu We consider an authentic company that sells its products to a customer market. In the same market, a counterfeiter may sell its low-quality counterfeits. The authentic company can put effort into developing an anti-counterfeit technology to distinguish its products from counterfeits while the authority can monitor the market and outlaw counterfeiting localities. We derive the company’s optimal decision on its anti-counterfeit effort and highlight its difference from conventional wisdom. 79 - Optimization of Area Traffic Control: A Binary Mixed Integer Linear Programming Approach Zhao Zhang, Research Assistant, Tsinghua University, Room 615, Shunde Building, Haidian District, Beijing, 100084, China, zzaxx@tsinghua.edu.cn This paper proposes a model aims at optimizing area traffic control. We use network total delay as the objective in the model. In this research, cell transmission model is used to discretize research time into many intervals and signal coordination, lane settings, phase, start of green and green split can be optimized simultaneously. The model is linear in nature and can be solved by standard branch and bound algorithm. 80 - Identify Naturally Occurring Healthcare Provider Referral Networks for Diabetic Patients Yuchen Zheng, PhD Student, Georgia Institute of Technology, Atlanta, GA, 30032, United States of America, richardzyc@gatech.edu, Kun Lin, Jeremy Pickreign, Thomas White, Gigi Yuen The pioneer Accountable Care Organizations (ACOs), where doctors voluntarily form groups to deliver coordinated quality care, saved Medicare $400 million in two years. To improve ACOs design, we utilize past care patterns and adopt modularity maximization to detect pre-existing referral networks for diabetic patients, within which doctors share patients frequently. We further identify the

driving forces of the underlying community structures and understand the relation to cost and utilization. 81 - Real-time Heat Exchanger Efficiency Monitoring Yousif Abualsoud, Saudi Aramco, Al-Midra, Dhahran, Saudi Arabia, yousif.abualsoud@aramco.com Saudi Aramco Engineering Services developed a systematic model to calculate shell and tube heat exchangers efficiency in real time using data analytics technique. Monitoring the heat exchanger efficiency in real time supports the decisions making to plan for turndown time by detecting the failure time proactively. Moreover, it provides the field engineers continuous monitoring to energy consumer and highlights the wasted energy locations, quantity and cost. 82 - A Decision-analytic Approach to Inferring Preference from Choice Behavior Matthew D. Wood, Research Psychologist, US Army Engineer Research & Development Center, Concord, MA, United States of America, Matthew.D.Wood@usace.army.mil, Matthew Bates, Danielle M. Beeler, Jeffrey M. Keisler Decision making in resource management requires consideration of multiple conflicting objectives. Traditional elicitation methods (e.g., swing weighting) work well with clearly defined problem spaces and effects between decisions and consequences. In more complex domains, an inferential approach is needed to estimate preference using system feedback over samples with subject-matter experts. We describe a decision analysis game with an environmental case study problem. 83 - Artificial Variability and Case Mix in Relation to Patient Flow at a Hospital Outpatient Clinic Monique Bakker, City University of Hong Kong, Hong Kong, 999077, Hong Kong-PRC, moniquebakker121@gmail.com We aim to improve the patient flow through first, second, and nth visits to a specialist outpatient clinic and elective surgery. We investigate variability in key resource availability (i.e. the specialists) in relation to case mix decisions, sub- specialization restrictions, and resource allocation: how is indirect wait time (or access time). We use Discrete Event Simulation to schedule patients under a broad and realistic set of rules and restrictions to compare alternate scenarios. TC01 01-Room 301, Marriott Logistics and Operations Research Sponsor: Military Applications Sponsored Session Chair: Andrew Hall, COL, U.S. Army, 4760 40th St N, Arlington, Va, United States of America, AndrewOscarH@aol.com 1 - Scheduling the Transition of the C-130 Aircraft Fleet to a New Maintenance Process Melissa Bowers, mrbowers@utk.edu, Bogdan Bichescu, Kenneth Gilbert, Anurag Agarwal, Doug Keene The US Air Force is tasked to increase aircraft availability through a new initiative, the High Velocity Maintenance program, which seeks to increase availability of aircraft to the US military through a reduction in the time an aircraft spends on the ground undergoing planned maintenance. The transition of a fleet of aircraft from the standard process to shorter HVM cycles is a complex task that requires careful planning. A mixed-integer programming approach is used to generate a schedule which maintains a constant annual workload and yields lower flow times and work-in-process levels. 2 - Learning and Bayesian Updating in Made-to-order (MTO) Production Keith Womer, Professor, University of Missouri - St. Louis, One University Blvd, St. Louis, MO, 63121, United States of America, womerk@umsl.edu, Jeffrey Camm, Haitao Li, Colin Osterman, Rajesh Radhakrishnan The case of production planning for made-to-order (MTO) manufacturing. We minimize expected discounted cost by controlling production rate. A dynamic and adaptive approach to estimate the effects of learning and to optimize next period production is developed. This approach offers a closed-loop solution through stochastic dynamic programming. The approach is illustrated using data from the Black Hawk Helicopter Program. Tuesday, 1:30pm - 3:00pm

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