Informs 2015

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INFORMS Philadelphia – 2015
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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,
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,
, 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, 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.
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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.
Tuesday, 11:00am - 12:30pm
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,
1 - Operations Research Initiatives in Cyber Defense
Paul Goethals, Army Cyber Institute, United States Military
Academy, West Point, NY, United States of America,
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, 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,
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,
Co-Chair: Fei He, Assistant Professor, Texas A&M University-Kingsville,
700 University Blvd., Kingsville, TX, 78363, United States of America,
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,
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, , 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.
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