2015 Informs Annual Meeting

POSTER SESSION

INFORMS Philadelphia – 2015

34 - The Effect of High Socioeconomic Inequalities on Public Education Efficiency Maria Cristina Gramani, Insper - Business Department, Rua Quatá, 300, Vila Olímpia, São Paulo, SP, 04546042, Brazil, mariacng@insper.edu.br A model is proposed to capture the full picture of educational efficiency in an emerging country. Because of regional discrepancies, the model uses variables related to education and to socioeconomic inequalities. The empirical results are based on data from 5,129 Brazilian municipalities and the correlation factor between the HDI-M and the educational efficiency score indicates that the HDI-M index could not capture the discrepancies of a country with high levels of socioeconomic inequality. 35 - Improving Scheduling and Control of the OHTC Controller in Wafer Fab AMHS Systems Automated Material Handling Systems (AMHS) in wafer fabs have complex requirements. Thus, a larger number of AMHS vehicles are now required to pick- up and transport these lots within the production facility. This has increased vehicular traffic jams and the wait time for lots requiring pick-up and delivery. Hence, to increase the system throughput, we present improved routing algorithms for the over hoist transport control (OHTC) system. 36 - An Adaptive Large Neighborhood Search Heuristic for the Inventory Routing Problem with Time Windows Mina Hadianniasar, University of Arkansas, 901 N Pollard Street, Arlington, VA, 22203, United States of America, mhadiann@uark.edu, Ashlea Milburn This research models an integrated distribution and inventory control problem (IRP) which is faced by a retail chain in the US. Currently, a direct shipping policy with time window constraints is used for replenishing stores. This paper develops an Adaptive Large Neighborhood Search Heuristic to determine the optimal timing and magnitudes of deliveries to stores. The optimal plan considers direct shipping policy as well as options combining deliveries for multiple stores into a single route. 37 - Forecasting-based Truck Wait Time Reduction at Logistic Nodes Truck wait times at logistic nodes such as container depots, packing facilities or terminals cause delays in transport chains and traffic congestion. Truck companies and nodes experience economical losses due to vehicle idle times and a lack of planning reliability regarding routes, personnel or machinery, respectively. In this work we present a flexible forecasting-based real worldapproach using artificial neural networks to predict both, the truck wait times and the arrival rates at the nodes. 38 - Impact of Overbooking in Appointment Scheduling of Primary Care Services No-shows and late cancellations not only reduce the providers’ utilization, but also results in long waiting time for other patients. Overbooking has the potential to mitigate these negative impacts. However, excess overbooking may lead to even longer waiting times for patients and prolonged working days for the care team. We use a mathematical model to evaluates the benefit of overbooking and develop a scheduling policy that reduces patients’ waiting time, and increase provider’s utility. 39 - Research on Combination of Container Yard Allocation and Automatic Lifted Vehicle Path Optimization Hongtao Hu, Shanghai Maritime University, Room101, No 96, 555 Guzong Road, Shanghai, China, hu.hongtao@foxmail.cm This paper brings in a new type of automatic transport machinery—automatic lifted vehicle which has the ability to lift container from the floor or put it down on the floor. Meanwhile, a mixed integer programming model is established to ensure that all the containers handled as far as possible in the time window. The model also considers the problem of allocating blocks to discharge containers and optimizing path of automatic lifted vehicle. 40 - Shipping Commodities Between a Container Terminal and Different Destination Zones using Heavy Trucks Mazen Hussein, Assistant Professor, University of Wisconsin- Platteville, Platteville, WI, 53818, United States of America, husseinm@uwplatt.edu The cost model for shipping commodities by truck developed by Hussein M. (2010) is extended to consider the impact of tollway polices on truck route selection for shipping containers of specific commodity groups near a container terminal. A path-finding model is built for this purpose. The values of time were used to mimic the truck’s choices to ship containers of different commodities Shreya Gupta, Ms/phd Student And Graduate Research Assisstant, University of Texas at Austin, Austin, TX, 78751, United States of America, shreya.gupta@utexas.edu, John Hasenbein Alessandro Hill, Hamburg University of Technology, Am Schwarzenbergcampus 4, Hamburg, Germany, alessandro.hill@tuhh.de, Finn Meissner, Juergen Boese Babak Hoseini, PhD Candidate, New Jersey Institute of Technology, University Heights, Newark, NJ, 07102, United States of America, bh77@njit.edu, Wenbo Cai

between a container terminal and different facilities. 41 - Network Motif Analysis for an Infrastructure System Against Vulnerability Jing Jiang, PhD, Shanghai Jiao Tong University, Shanghai, China, sjtujiangjing@163.com, Xiao Liu A motif-based evolutionary perspective is provided for infrastructure network design. First, a multi-objective vulnerability-cost model is proposed to optimize network structure. Secondly, an evolutionary algorithm is developed. Thirdly, a network is tested by structure analysis, and motifs are traced during the evolutionary process. Finally, Western States Power Grid is analyzed. Results have revealed some principles in network design towards lower cascading vulnerability and construction cost. We investigate consumer reaction to data breaches. Using a propensity score matching technique, we analyze a matched sample of U.S. hospitals. We investigate how breaches affect subsequent outpatient visits and admissions, accounting for geographically-based competition. We find that the cumulative effect of multiple breaches significantly decreases outpatient visits and admissions. 43 - Enhancing Distribution Performance through Improved Relationship Quality and Logistics Integration Sung-tae Kim, Assistant Professor, SolBridge International School of Business, 128 Uam-ro, Dong-gu, Daejeon, Korea, Republic of, stkim1@solbridge.ac.kr, Moon-jung Yoo Prior research has argued that business relationship quality mediated by logistics integration has shown positively related to distribution service performance. Hence, firms attempt to achieve higher levels of logistics service and distribution service performance through logistics integration. This study examines relationship quality and logistics integration to understand how the two factors are linked to distribution service performance. 44 - Smart Logistics: Distributed Control of On-demand Green Transportation Services Seokgi Lee, Assistant Professor, University of Miami, 1251 Memorial Drive 281, Coral Gables, FL, 33146, United States of America, sgl14@miami.edu, Yuncheol Kang, Vittaldas V. Prabhu We develop a strategic decision-making framework for on-demand delivery services, considering both operational and environmental performance explained by Just-In-Time delivery service, fuel consumption, and carbon emissions. The optimal policies based on the Markov decision process are established to make admission plans of delivery requests, and an integrated dynamic algorithm for admission control and route scheduling is developed. 45 - Extreme-point Search Heuristics Ffr Interval-flow Generalized Network Problems Angelika Leskovskaya, Southern Methodist University, 3145 Dyer St., Suite 372, Dallas, TX, 75205, United States of America, aleskovs@smu.edu, Richard Barr Interval-flow generalized networks are a new extension of the classic generalized network formulation that adds a conditional lower bound constraint on the arcs. An interval-pivoting heuristic that exploits the quasi-tree-forest basis structure to explore extreme points is developed and computational testing is presented. 46 - Hedge Fund Leverage Choice under Time-inconsistent Preference Bo Liu, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave,West Hi-Tech Zone, Chengdu, SC, 611731, China, b.liu07@fulbrightmail.org We show that time inconsistency preference discourages the manager from underinvesting because of the high liquidation risk. The payment of incentive fees may induce the irrational manager to be more aggressive and to overinvest.The naive manager is more conservative than the sophisticated manager and prefers a lower leverage level in normal times.Interestingly,investors are not sensitive to the manager’s irrational investment behavior. 47 - New Assay Implementation Planning at Clinical Laboratory Wei Liu, Industrial Engineer, MD Anderson Cancer Center, 8515 Fannin St, Houston, TX, 77054, United States of America, wliu8@mdanderson.org, Cindy Lewing, Bedia Barkoh, Pramod Mehta, Mark Routbort, Humin Lu, Justin Villarreal, Raja Luthra, Keyur Pravincha Patel, Geeta S Mantha, Mylene Bole, Haobo Yang, David Garcia, Zou Zhuang Implementation of a new complex laboratory assay at our high-volume and high- complexity clinical Molecular Diagnostics Laboratory was facilitated by application of multiple engineering approaches including workflow assessment, historical volume-based demand prediction, IT solution, and resource allocation. The new assay implementation is expected to be successful with minimal workflow interruptions, no patient care interruptions, low implementation cost and optimal resource utilization. 42 - Patient Reaction to Healthcare Data Breaches Eric Johnson, Vanderbilt University, Owen School of Management, Nashville, TN, United States of America, eric.johnson@owen.vanderbilt.edu, Juhee Kwon

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