Informs 2015

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INFORMS Philadelphia – 2015
258
Tuesday, 8:00am - 9:30am
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,
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,
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,
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,
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,
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,
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,
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
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, ,
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
Taofeek Biobaku, University of Houston, Houston, TX,
United States of America, , Gino Lim,
Jaeyoung Cho, Hamid Parsaei, Seon Jin Kim
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,
, 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,
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, ,
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,
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.
TA01