Informs Annual Meeting 2017

MA37

INFORMS Houston – 2017

MA36

2 - Integrated Air and Missile Defense Design via Game Theoretic Models & Heuristics Brian J. Lunday, Air Force Institute of Technology, 2950 Hobson Way, Department of Operational Sciences, WPAFB, OH, 45433, United States, brian.lunday@afit.edu, Randi Williams, Matthew J.D. Robbins, PhD We consider a trilevel optimization formulation to locate air defense radars and interceptor batteries, given subsequent (optimal) missile launches by an attacker and interceptor responses by a defender, in direct competition over the expected survival value of targets. Considering the game theoretic view of this two-player, three-stage, extensive form game, we examine its normal-form representation. We test and develop a construction heuristic and tune two variants of an improvement heuristic to identify the best attacker solution, given a defender’s best response, and we demonstrate them on a representative scenario. 3 - A Heuristic and Metaheuristic Approach to the Static Weapon Target Assignment Problem Alexander Kline, Air Force Institute of Technology, Wright Patterson AFB, OH, United States, akline@afit.edu, Darryl K. Ahner, Brian J.Lunday The problem of targeting and engaging individual missiles (targets) with an arsenal of interceptors (weapons) is known as the weapon target assignment problem and is NP-Complete. We propose and test a metaheuristic having a previously developed heuristic as a subroutine and that iteratively blocks exiting assignments to an initial feasible solution, allowing superior solutions to those that would otherwise be identified via a greedy selection process. We find solutions that are, at worst, within 2% of optimality and, at best, up to 64% better than the solutions reported to be optimal by BARON. Alireza Azimian, Lazaridis School of Business and Economics, Unit 103, 55 Hickory St. E, Unit 103, Waterloo, ON, n2j 3j5, Canada, azim9110@mylaurier.ca Operational failure of a rival can adversely affect an industry. Earlier studies shows that in a planning horizon investing in the safety of unsafe firms by safe firms can mitigate this risk. This study explores whether Gaussian Processes can be applied to create a successful automated safety investment strategy for multiple planning horizons. 4 - Risk Assessment in Sustainable Freight Transportation System Ravi Shankar, Indian Institute of Technology Delhi, New Delhi, 110016, India, r.s.research@gmail.com, Divya Choudhary This research aims to identify and prioritize risks involved in sustainable freight transportation system (SFTS). A novel methodology integrating fuzzy set theory, evidential reasoning algorithm and expected utility theory has been used to quantify and prioritize the identified risks. The results of this study provide significant managerial implications for the better management of disruptions in SFTS. 2 - An Empirical Analysis of Supply Chain Finance Adoption David Wuttke, EBS.Universität, Burgstr. 5, Oestrich-Winkel, 65375, Germany, david.wuttke@ebs.edu, Eve Rosenzweig, H. Sebastian Heese We empirically test hypotheses derived from the literature on adoption of Supply Chain Finance (SCF). We identify supply chain finance value and supplier size as important drivers of adoption speed. We complement these drivers with institutional pressures. We also derive suggestions for buyers who seek to implement SCF. 1 - The Start-up Remanufacturing Problem Nadezhda Kozlovskaia, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russian Federation, kknn@yandex.ru, Nadezhda Pakhomova, Knut Richter A two stage deterministic inventory EOQ model for manufacturing of new products and remanufacturing cores is considered. The supplier is supposed to manufacture new products, delivered to the buyer according to exponential growing demand. He is also capable of remanufacturing used products, returned back by the buyer after some variable time interval T. If the remanufactured products are finished the manufacturing process starts to cover the remaining demand for the time interval. The processes of manufacturing and remanufacturing of the products are instantaneous. MA35 351E Supply Chain Management Contributed Session Chair: Nadezhda Kozlovskaia, Saint Petersburg, Russian Federation, kknn@yandex.ru 3 - Mitigating Contagion Risk under Uncertainty

351F Simulating Complex Service Systems Sponsored: Service Science Sponsored Session Chair: Ashkan Negahban, Pennsylvania State University, Malvern, PA, 19355, United States, anegahban@psu.edu 1 - Using Simulation to Improve Radiology Appointment Schedules and Patient Service Levels Kayse Lee Maass, Mayo Clinic, Rochester, MN, United States, maass.kayse@mayo.edu, Maria G. Martinez, Mustafa Y. Sir, Kalyan Pasupathy, Michelle Nordland, Stacy R. Schultz, Brian J. Bartholmai Medical imaging facilities perform a variety of services including diagnostic magnetic resonance imaging, computed tomography, and interventional procedures for a diverse set of patient groups (e.g., pediatric/adult, inpatient/outpatient/emergency). Some equipment may have special capabilities or limitations, and therefore may only serve patients with a particular subset of characteristics. Using data from a large hospital, we developed a simulation model to assess the design of an appointment schedule based on service and patient type, with priority rules for admitting patients into service in real-time. Effects on wait time, on-time starts and equipment utilization are discussed. 2 - Using a Simulation-optimization Approach to Optimize Patients Scheduling- A Table-experiment Approach Mohammad Dehghanimohammadabadi, Northeastern University, m.dehghani@northeastern.edu, Mandana Rezaeiahari In this study, a table-experiment framework is used to simulate and optimize patient scheduling at a Breast Cancer Center. The objective of this paper is to sequence the patients such that minimum average flow time is achieved for two types of patients including follow up and consult patients. Each patient type has different service time and follows different care pathways. A semiheuristic framework is developed by integrating MATLAB, SIMIO, and EXCEL to easily perform the table-experiment in a simulation environment. The obtained results from this framework are further analyzed by comparing five heuristic appointment scheduling approaches. 3 - An Incentive-based Rebalancing Scheme for Large Bike-sharing Systems Ashkan Negahban, Pennsylvania State University, 30 E. Swedesford Road, Malvern, PA, 19355, United States, anegahban@psu.edu, Samarth Patel, Robin Qiu The goal of this research is to explore the benefits of an incentive-based rebalancing scheme for large bike-sharing systems. In the proposed scheme, riders are offered incentives (such as discounted rates) to drop off their bike at a station other than but close to the original destination that is empty or expected to run out of bikes in the near future. A discrete event simulation model of New York City’s CitiBike system is developed to assess the trade-off between bike redistribution cost and reduced profit due to such discounts. 352B Best Service Science Cluster Award Paper Competition #I of II Sponsored: Service Science Sponsored Session Chair: Robin Qiu, Pennsylvania State University, Malvern, PA, 19355, United States, robinqiu@psu.edu 1 - Service System Design under Information Uncertainty: Insights from an M/G/1 Model We consider designing a service system in which the service provider performs an operation on incoming transactions for a client. An important task for the service provider is to decide on the capacity of the service system based on information available. In many cases, some input parameters to the capacity planning problem are uncertain at design time. Nonetheless, violating the service level requirement during actual operation may incur a penalty. We model this problem using a standard M/G/1 queue and analytically derive the optimal capacity under the assumption that transaction arrival rate is only known to a range. Several insights on the impacts of demand information uncertainty are derived. MA37 Juan Ma, Turner Broadcasting System, Inc, Atlanta, GA, United States, juliema1205@gmail.com, Ying Tat Leung, Manjunath Kamath

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