2015 Informs Annual Meeting

TA79

INFORMS Philadelphia – 2015

Tuesday, 11:00am - 12:30pm

2 - Data Exploration of Publicly Reported Power Outages to Assess Grid Reliability and Damages Michael Sohn, Staff Scientist, Lawrence Berkeley National Laboratory, One Cyclotron Road, Mail Stop: 90R2008, Berkeley, CA, 94720, United States of America, mdsohn@lbl.gov, Joseph Eto, Kristina Lacommare, Laurel Dunn We have amassed a database of power outages, with high temporal resolution, from across the US. We present an analysis of the database, focusing on the distribution of outages by duration, customers affected, location, time, etc. We also link the data to orthogonal datasets to estimate the types of customers affected for a particular outage. Finally, we estimate the cost of power interruptions, and discuss implications on the reliability costs nationwide. 3 - Energy Disaggregation Based on Stochastic Dynamic Programming with Collocation Method Feng Gao, SGRI North America, 5451 Great America Parkway, Santa Clara, CA, 95054, United States of America, feng.gao@sgrina.com, Chris Saunders, Yang Yu, Wendong Zhu, Guangyi Liu The purpose of energy disaggregation is to separate energy consumption for a consumer into the energy data for individual appliances. The benefit lies in the promotion of improved consumption behaviors and adaptation of energy-efficient devices. The paper presents a dynamic model for devices power consumption; considers uncertainty of consumption; and proposes a fix-point iterative schema to efficiently resolve the stochastic problem. The paper demonstrates its result on a simulated data set. 4 - Transmission Planning with Renewable Distributed Generation Uncertainty Fikri Kucuksayacigil, Iowa State Uni. Industrial Engineering, 3004 Black Engineering, Ames, IA, 50011, United States of America, fksayaci@iastate.edu, Kyung Jo Min There have been substantial developments of distributed generation from renewable energy sources. This has created new challenges in transmission planning as distributed generation leads to uncertainties on the use of transmission lines. To address this uncertainties, we utilize a jump-diffusion demand process and binomial lattice to show how the best transmission is planned under the risk of self-supporting communities. From the resulting analysis, economic implication and managerial insights will be discussed.

TB01 01-Room 301, Marriott Cyber and Logistics Applications Sponsor: Military Applications Sponsored Session

Chair: Natalie Scala, Assistant Professor, Towson University, Dept. of e- Business and Tech Management, 8000 York Road, Towson, MD, 21252, United States of America, nscala@towson.edu 1 - Operations Research Initiatives in Cyber Defense Paul Goethals, Army Cyber Institute, United States Military Academy, West Point, NY, United States of America, paul.goethals@usma.edu Despite the reduction in the total Army population, the cyber force structure continues to grow in strength and impact. This presentation describes a number of Operations Research initiatives that could benefit the cyber community. Research trends and areas of future work are also offered. 2 - Automated Identification Technology Devices for Naval Seabasing Natalie Scala, Assistant Professor, Towson University, Dept. of e- Business and Tech Management, 8000 York Road, Towson, MD, 21252, United States of America, nscala@towson.edu, Jennifer Pazour We present a value focused decision model for naval seabasing. We discuss automated identification technology devices as alternatives to a multi-objective decision model with the goal of selecting the preferred device for seabasing logistics support. Criteria for this model include metrics and associated measures related to seabasing. 3 - Logistics Engineering Solution for Reverse-engineering Topology Alan Briggs, INFORMS Maryland, 8606 Aspen Grove Court, Odenton, MD, 21113, United States of America, awbriggs@gmail.com Using monte carlo simulation, author uses proximate location data to reverse engineer network topology. TB02 02-Room 302, Marriott Homeland Security Decision Making Cluster: Homeland Security Invited Session Chair: Jun Zhuang, University at Buffalo, SUNY, 317 Bell Hall, Buffalo, NY, 14221, United States of America, jzhuang@buffalo.edu Co-Chair: Fei He, Assistant Professor, Texas A&M University-Kingsville, 700 University Blvd., Kingsville, TX, 78363, United States of America, fei.he@tamuk.edu 1 - Multi-Objective Optimization Models in Urban Security Jose Emmanuel Ramirez-Marquez, Associate Professor, Stevens Institute of Technology, 1 Castle Point Rd, Hoboken, NJ, 07030, United States of America, jmarquez@stevens.edu, Mohammed Muaafa The allocation of limited resources is a daily dilemma for police commanders. More than 50% of police department costs go into patrolling operations, which include responding to emergencies and maintaining police presence. This study aims to address the challenging tradeoff police face when designing patrolling strategies between lessening the economic burden of crime prevention and maintaining high levels of public safety. 2 - A Literature Review of Recent Attacker-defender Games Fatemeh Mousapour, SUNY Buffalo, 338 Bell Hall, Buffalo, NY, United States of America, f.moosapoor@yahoo.com, Jun Zhuang This research provides an extensive review of game-theoretic analysis of attacker- defender models. Those models are categorized according to different defense measures, attack tactics, system structures, game types, player rationality and risk preferences. Statistical charts and tables are presented to identify patterns and trends in this area. Through the content analysis framework, some research gaps and future research directions are identified.

TA79 79-Room 302, CC

Software Demonstration Cluster: Software Demonstrations Invited Session 1 - SigmaXL, Inc. - What’s New in SigmaXL® Version 7 John Noguera, CTO & Co-founder, SigmaXL, Inc.

SigmaXL is a user friendly Excel Add-In tool for Process Improvement, Six Sigma Quality and Statistics. We introduce SigmaXL and the new features in Version 7: “Traffic Light” Automatic Assumptions Check for T-tests and ANOVA, Automatic Normality Check for Pearson Correlation and Small Sample Exact Statistics for One-Way Chi-Square, Two-Way (Contingency) Table and Nonparametric Tests. Exact statistics are appropriate when the sample size is too small for a Chi-Square or Normal approximation to be valid. 2 - Mathworks - MATLAB: An Environment for Operations Research and Data Analytics Seth DeLand, MathWorks, Data Analytics. Product Manager MATLAB is a platform for analysis, visualization, simulation, and optimization. You can access and analyze real-world data and develop customized algorithms that scale to your largest problems. Join us to see how MATLAB can help you explore data, develop algorithms, and integrate analytics into enterprise applications. You’ll also learn about new features including mixed-integer linear programming, machine learning, and working with Big Data.

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