2015 Informs Annual Meeting

TA01

INFORMS Philadelphia – 2015

Tuesday, 8:00am - 9:30am

between global infrastructure, epidemiology, economics, government policy, and regional and/or international populations. This presentation summarizes the development (web and desktop) and use of the GlobalCURE tool. In our analysis, we specifically focus on the interplay of factors across levels of aggregation (e.g., tract through country). 2 - Optimization Planning Tool for Urban Search Missions Daniel Faissol, Lawrence Livermore National Laboratory, Livermore, CA, United States of America, faissol1@llnl.gov, Claudio Santiago, Richard Wheeler, Thomas Edmunds We present a prototype tool to support planning of radiological and nuclear search missions in an urban environment using mobile detectors. Two distinct problems are considered with proposed solutions: (1) a nonconvex optimization problem that solves for detector dwell times and locations that maximize the probability of detection for building interiors, and (2) a multiple vehicle routing problem on a directed multigraph that solves for the maximum net benefit given a fixed total search time. 3 - Optimal Sonar Deployment in a Maritime Environment: A Fortification Approach The safety and integrity of maritime assets continue to be of paramount importance in world trade and economy. The marine-based trilevel problem remains computationally challenging. The inherent challenges increase with the risk analysis approach we adopt. We propose algorithms based on modifications of Benders’ decomposition; and column-and- constraint general algorithms to attempt an optimal solution. Thereafter, we compare solutions on these two algorithms using a case study. 4 - A Mothership-based UAV Routing Problem in Support of Counterfire Operations Jaeyoung Cho, University of Houston, 333 Dominion Dr., #1021, Katy, TX, 77450, United States of America, uncmac.rokag@gmail.com, Taofeek Biobaku, Seon Jin Kim, Gino Lim We describe a model for routing UAVs which are launched and recovered from airborne drone carriers. We formulate and solve this problem with a given fleet of UAVs subject to technical and operational constraints. The spatio-temporal model captures important aspects of a UAV deployment in counterfire operations including collaboration tactics and overlapping observation. The model is designed to provide an insight into issues associated with operating UAVs aided counterfire operations system. TA03 03-Room 303, Marriott Scheduling in Practice Cluster: Scheduling and Project Management Invited Session Chair: Emrah Cimren, Nike, 1 SW Bowerman Dr., Beaverton, OR, 97005, United States of America, Emrah.Cimren@nike.com 1 - A Sample-Gradient-Based Algorithm for Multiple-OR and PACU Surgery Scheduling Miao Bai, Lehigh University, 200 W Packer Ave, Bethlehem, PA, 18015, United States of America, mib411@lehigh.edu, Gregory Tonkay, Robert Storer We address a multiple-OR surgery scheduling problem constrained by shared PACU capacity within the block-booking framework. Given the surgery sequence, a Discrete Event Dynamic System-based stochastic optimization model is formulated in order to minimize the cost incurred by patient waiting time, surgeon idle time, OR blocking time, OR overtime and PACU overtime. A sample- gradient-based algorithm is proposed to solve the sample average approximation of our formulation. 2 - Leveraging Predictive Analytics for HPC Scheduling in Dynamic Environments Sarah Powers, Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN, United States of America, powersss@ornl.gov Improvements in heterogeneous HPC scheduling can be obtained by leveraging predictive analytics of job submissions. Development of the necessary workflow models requires historical data and is costly due to the potential high diversity of job types and their evolving patterns over time. We propose a method which learns these patterns dynamically, allowing for unknown jobs types and changing arrival patterns. Prediction gains are thus automated and utilizable in dynamic environments. Taofeek Biobaku, University of Houston, Houston, TX, United States of America, tobiobaku@uh.edu, Gino Lim, Jaeyoung Cho, Hamid Parsaei, Seon Jin Kim

TA01 01-Room 301, Marriott Military Manpower and Force Management Sponsor: Military Applications Sponsored Session Chair: Andrew Hall, COL, U.S. Army, 4760 40th St N, Arlington, VA, United States of America, AndrewOscarH@aol.com 1 - Air Force Officer Accession Planning: Addressing Key Gaps in Meeting Career Field Academic Degree Requirements Tara Terry, Operations Researcher, RAND Corporation, 1200 S. Hayes St., Arlington, VA, 22202, United States of America, tterry@rand.org The goal of the Air Force officer accession process is to ensure the USAF accesses officers with the knowledge, skills and attributes to perform missions in particular career fields. Key to this goal for non-rated officers is establishing and enforcing academic degree requirements. We uncovered gaps in accession processes that undermine meeting career field education requirements. We introduced recommendations toward correcting the accession process and meeting career fields academic needs. 2 - A Methodology for Estimating Caseload in the U.S. Army’s Disability Rating Process James Broyles, Operations Researcher, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, United States of America, jbroyles@rand.org, Mustafa Oguz As U.S. Army soldiers separate from service, a portion of them enter the disability rating process to obtain a rating that determines their level of benefits and compensation. The process involves several evaluation steps and appeal processes that cause highly variable and sometimes long processing durations. This research presents a methodology that uses a non-Markovian probability model for estimating disability rating caseload given forecasted future soldier separations. 3 - Aligning Officer Personnel Requirements with a Sustainable Career Lifecycle Model Michael Needham, DCS G-1, HQDA, 300 Army Pentagon, Washington, DC, United States of America, michael.p.needham2.mil@mail.mil The U.S. Army is at a critical juncture in determining a supportable military personnel structure that is limited by mandated force structures. Personnel structure adjustments drive near-term force-shaping personnel policies, such as accessions, promotions, and separations. We identify sustainable standards of grade using historical data while accounting for future personnel management policies. The model uses sixteen years of historical data as a foundation to determine future behavior. 4 - Army Officer Grade Distribution for the Army Competitive Category Francisco Baez, DCS G-1, HQDA, 300 Army Pentagon, Washington, DC, United States of America, francisco.r.baez.mil@mail.mil The Army’s Grade Structure has become significantly senior impacting the potential health of the current and future force by reducing selectivity and competition rates, and forcing early promotions. The propose distribution of officers focuses on re-balancing grade structure for each career management field to ensure balance and health of the force by ensuring leader-to-led ratios, quality, and viable career paths for all soldiers. TA02 02-Room 302, Marriott Optimization Applications in Homeland Security Cluster: Homeland Security Invited Session Chair: Daniel Faissol, Lawrence Livermore National Laboratory, Livermore, CA, United States of America, faissol1@llnl.gov 1 - Modeling the Global Spread and Impact of Diseases at Various Levels of Aggregation Daniel Skorski, Operations Research Scientist, Pacific Northwest National Laboratory, 301 Hills Street, Richland, WA, 99352, United States of America, Daniel.Skorski@pnnl.gov, Robert Brigantic, Brent Daniel, Matthew Oster Diseases spread by various modes of transportation is a never-ending modeling and analysis need. GlobalCURE provides a framework to study the interplay

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