Informs Annual Meeting 2017

TE58

INFORMS Houston – 2017

3 - New Insights into Sharing Warehouse Markets in Beijing Metropolitan Area: Scraping and Analyzing Web Rental Listings Yixuan Ma, Beijing Jiaotong University, Beijing, China, mayixuan@bjtu.edu.cn Yixuan Ma, University of California-Irvine, Irvine, CA, United States, mayixuan@bjtu.edu.cn, Zhenji Zhang, Baoxiang Pan Open warehouse marketplace is of fundamental importance for pivoting the accelerating supply chain. Existed warehouse storage trading platforms focus on clients’ trading activities, missing the potential to bring the full scope of logistics storage marketplace into light. Given this, we collected, cleaned, analyzed, mapped, and visualized 20,000 real-time web sharing warehouses listings from different platforms for the Beijing Metropolitan Area, one of the most busy logistic districts in the world today. The data revealed fine patterns of warehouse distribution, acreage and price through putting the real-time accumulating database to the urban development background. 4 - A Hybrid Simulation-based Location-allocation Approach of Biofuel Warehouses Sojung Kim, Assistant Professor, Texas A&M.University- Commerce, P.O. Box 3011, Commerce, TX, 75429-3011, United States, sojung.kim@tamuc.edu, Su Min Kim, James R. Kiniry The goal of this study is to propose a hybrid simulation-based location-allocation approach of Biofuel Warehouses in order to minimize operational cost of the biofuel supply chain. The proposed approach consists two simulation methodologies: (1) ALMANAC® for estimating production of ethanol based on crop yields and (a) AnyLogic® for finding the best locations of biofuel warehouses with the minimum operational cost regarding supply variability (e.g., seasonality) of crop yields. The proposed approach is demonstrated with real crop yield data in Southern Great Plains, USA. 5 - Transporting Capacity vs. Transshipping Inventory under Nonstationarity Satya Sarvani Malladi, PhD Candidate, Georgia Institute of Technology, 2209 Briarcliff Rd NE, Apt 17, Atlanta, GA, 30329, United States, mss@gatech.edu, Alan Erera, Chelsea C. White We study a production-inventory system in which capacity and/or inventory can be moved between locations under nonstationary demands affected by a partially observed underlying state of the world. We seek to determine when moving production capacity is more beneficial than transshipping inventory between locations. 362D Scheduling Contributed Session Chair: Trung Le, International University, Ho Chi Minh, Viet Nam, trung.le@hcmiu.edu.vn 1 - Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets Trung Le, International University, Linh Trung Thu Duc, Ho Chi Minh, Viet Nam, trung.le@hcmiu.edu.vn This paper reports an investigation into heart rate dynamics aiming to predict in real time the onsets of OSA episode before the clinical symptoms appear. A prognosis method based on a nonparametric statistical Dirichlet-Process Mixture- Gaussian-Process (DPMG) model to estimate the transition from normal states to an anomalous (apnea) state is utilized to estimate the remaining time until the onset of an impending OSA episode. Validation tests suggest that the model can be used to track the time until the onset of an OSA episode with the likelihood of correctly predicting apnea onset in 1 min to 5 mins ahead is 83.6 ± 9.3%, 80 ± 8.1%, 76.2 ± 13.3%, 66.9 ± 15.4%, and 61.1 ± 16.7%, respectively. 2 - An ABM Framework to Analyze the Region’s Resilience Evolving under Repeated Hazards Chengwei Zhai, University of Michigan, 1837 McIntyre Drive, Ann Arbor, MI, 48105, United States, cwzhai@umich.edu, Seth Guikema, Allison C. Reilly Understanding human behavior under repeated hazards is essential in reducing damage from hazards, promoting wise decisions, and providing insights into how community resilience evolves. This talk summarizes an Agent Based Model that can be applied to analyze how decision makers adapt to repeated hazards and different policies and how this influences the evolution of regional vulnerability over time. It introduces modeling different hazard scenarios, agent learning and decision making processes, collective action, and government policies. A case study using open-source data in Maryland is presented to show how this region’s vulnerability evolves under repeated hazards. TE57

3 - Risk-based Path Optimization for Unmanned Aerial Systems Jeffrey W. Herrmann, Professor, University of Maryland-College Park, Department of Mechanical Engineering, College Park, MD, 20742, United States, jwh2@umd.edu, Shapour Azarm Flying an unmanned aerial system (UAS) over inhabited areas creates a risk to persons on the ground. UAS operators thus need low-risk flight paths, but the lowest-risk flight paths could be excessively long. We present a risk assessment technique and a bi-objective optimization method to find low-risk and time solutions to this problem. We used computational experiments to evaluate the methods’ computation time and solution quality. The most promising method constructs a graph for the problem, generates an initial solution using the graph, and improves that solution with a local search. 4 - Innovation and Information Privacy Gwendolyn K.Lee, Chester C. Holloway Professor, University of Florida, Gainesville, FL, 32611, United States, gwendolyn.lee@warrington.ufl.edu, Ye Xia Do firms converge or diverge in choosing how much personally identifiable information (PII) to collect when consumers have heterogeneous attitudes about privacy risk and when companies interact competitively in the market? In our model, firms choose their strategies with respect to how much PII they collect from consumers. Based on our game-theoretical analysis, we find that, at the competitive equilibrium, rational firms choose to collect different amounts of PII, thus spreading apart in the space of strategies. Such a finding is by no means obvious. We show exactly how far apart the firms will spread out and explain why firms don’t converge to the same strategy, such as collecting the maximum amount. 5 - Developing a Risk Index for Sustainable Freight Transportation Ravi Shankar, Professor, Indian Institute of Technology Delhi, New Delhi, India, r.s.research@gmail.com, Divya Choudhary This research introduces an innovative concept of risk index for sustainability (RIS) to evaluate the risk exposure of sustainable freight transportation (SFT). Interval 2-tuple and digraph matrix approaches have been used to model this problem. Different SFT systems are analyzed and managerial implications are drawn. Chair: Ardavan Asef-Vaziri, College of Business and Economics, Dept of Systems and Operations MGMT, 18111 Nordhoff Street, Northridge, CA, 91330-8378, United States, aa2035@csun.edu 1 - A Multiple Allocation P-hub Location Problem with Third-party Operated Vehicles Armin Lüer-Villagra, Universidad Andres Bello, Antonio Varas 880, Providencia, Santiago, 7501085, Chile, armin.luer@unab.cl, Vladimir Marianov, German Paredes-Belmar Hub and spoke networks are very common in the postal, airline, and parcel delivery industries. Hubs are facilities used to sort, consolidate and transfer flows from multiple origins and destinations. We formulate a multiple allocation p-hub location problem when a third party operate the vehicles and offer volume discount to the operating company. We perform extensive computational experience, noting differences in the solutions obtained. 2 - A Dynamic Data Driven Adaptive Simulation Based Optimization Framework for Layout and Resource Allocation in Horticultural Grafting Nurseries Sara Masoud, University of Arizona, 1300 E.Fort Lowell Road, # A214, Tucson, AZ, 85719, United States, saramasoud@email.arizona.edu, Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad Resource allocation and layout design are critical decisions in designing/operating grafting nurseries; yet, their concurrent optimization is challenging due to the dynamics of workers’ performance, resource availability, and demands. We propose a dynamic data driven adaptive simulation based optimization framework to optimize layout design and resource allocation by using data gloves to evaluate the workers’ performance at a micro level, and radio frequency identification system to study the motion of the workers and material flow at a macro level. The effectiveness of the proposed framework will be demonstrated via a case study in finding the optimal layout design and resource allocation. TE58 362E Layout and Location Sponsored: TSL, Facility Logistics Sponsored Session

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