Informs 2015

348 / 552

INFORMS Philadelphia – 2015
346
Tuesday, 4:30pm - 6:00pm
TD01
01-Room 301, Marriott
Optimizing Decisions in Conflict, Deterrence,
and Peace
Sponsor: Military Applications
Sponsored Session
Chair: Brian Lunday, Assistant Professor Of Operations Research,
Department of Operational Sciences, Grad. Sch. of Engr. & Mgmt.,
Air Force Institute of Technology, Wright Patterson AFB, OH, 45433,
United States of America,
1 - Active Target Defense Cooperative Differential Game
David Casbeer, Dr., Air Force Research Laboratory, 2210 8th
Street, B20146 R300, Wright Patterson AFB, OH, 45433,
United States of America, , Meir Pachter,
Eloy Garcia
This work addresses an active target defense differential game where an Attacker
pursues a Target. The Target cooperatively teams with a Defender, to maximize
the distance between the Target and the point where the Attacker is intercepted
by the Defender, while the Attacker tries to minimize said distance. The solution
to this differential game provides the min-max optimal heading angles for the
Target and the Defender team, as well as the Attacker.
2 - Approximate Dynamic Programming for the Military Inventory
Routing Problem with Direct Delivery
Matthew Robbins, Assistant Professor Of Operations Research,
Department of Operational Sciences, Grad. Sch. of Engr. &
Mgmt., Air Force Institute of Technology, Wright Patterson AFB,
OH, 45433, United States of America, ,
Brian Lunday, Ian Mccormack, Rebeka Mckenna
The military inventory routing problem (IRP) with direct delivery is formulated to
model resupply decisions concerning a set of geographically dispersed brigade
combat team elements operating in an austere combat situation. We construct a
Markov decision process model of the military IRP and obtain solutions via
approximate dynamic programming. Designed computer experiments are
conducted to determine how problem features and algorithmic features affect the
solution quality of our policies.
3 - Improving Chemotherapy Delivery through the Simulation of
Scheduling Heuristics
Ryan Slocum, Instructor, Department of Mathematical Sciences,
Building 601, United States Military Academy, West Point, NY,
10996, United States of America,
Javad Taheri, Thom Hodgson
In the last decade, chemotherapy delivery has largely become an outpatient
service. This has challenged clinics to administer complex treatments to as many
patients as possible within a fixed period of time. We apply selected scheduling
heuristics to reduce patient waiting times and minimize nurse overtime hours. We
present the results of a case study for which our heuristics found two solutions
that respectively reduce the average patient’s waiting time by 20% and annual
overtime by 60%.
4 - A Game Theoretic Model for the Optimal Disposition of Integrated
Air Defense Missile Batteries
Brian Lunday, Assistant Professor Of Operations Research,
Department of Operational Sciences, Grad. Sch. of Engr. &
Mgmt., Air Force Institute of Technology, Wright Patterson AFB,
OH, 45433, United States of America, ,
Chan Han, Matthew Robbins
We examine the allocation of air defense batteries to protect a country’s
population as a three-stage sequential, perfect information, zero-sum game
between two opponents. We formulate a trilevel nonlinear integer program, but
instead apply both an enumeration algorithm and a customized heuristic to
search the game tree. We test both on small instances to assess the efficacy of the
heuristic, and we demonstrate the computational efficiency of the heuristic on
realistic-sized instances.
TD02
02-Room 302, Marriott
Military Applications
Contributed Session
Chair: Irene Gerlovin, PhD Candidate/ Part Time Lecturer, Rutgers
Business School, 1 Washington Pl, Newark, NJ, 07102, United States of
America,
1 - Modeling Disease Mortality in The National Operational
Environment Model (NOEM)
Venkat Venkateswaran, Rensselaer Polytechnic Institute,
275 Windsor St., Hartford, CT, 06033, United States of America,
, John Salerno
The National Operational Environment Model (NOEM) is a large scale stochastic
model that can be used to simulate the operational environment of a nation-state.
Effects of various action alternatives can then be studied through simulations. In
this work we describe the methodology developed to estimate disease mortality.
Extensive V&V tests show that estimated disease death rates compare well with
published values, year by year, for several countries tested.
2 - Optimization of The Canadian Armed Forces Domestic
Transportation Network
Raman Pall, Defence Scientist, Department of National Defence,
1600 Star Top Road, Ottawa, ON, K1B 3W6, Canada,
Abdeslem Boukhtouta
The Canadian Armed Forces domestic transportation network transports goods
between military bases and depots throughout Canada using a combination of
military transport assets and commercial carriers. In this presentation, we provide
an overview of the network, describing it as a directed graph and analyzing its
efficiency. Recommendations are made on how utilization of the military
resources can be maximized through improvements to the route scheduling.
3 - Supply Chain Program Management (SCPM) to the Rescue!
F-35 Program
Irene Gerlovin, PhD Candidate/ Part Time Lecturer, Rutgers
Business School, 1 Washington Pl, Newark, NJ, 07102, United
States of America, Yao Zhao
F-35 program had a number of technical challenges. Since its inception in 2001,
the program is seven years behind the schedule and 70% over initial budget. We
review its key SCPM practices to identify root causes for the delays and to
enhance the chance of success for future DOD acquisitions.
TD03
03-Room 303, Marriott
Inventory Management II
Contributed Session
Chair: Ruiqi Hou, University of Science and Technology of China, East
Campus USTC, No. 96 Jinzhai Road, Room 367-414, Hefei, 230026,
China,
1 - A Continuous Formulation for a Location-Inventory Problem
Considering Demand Uncertainty
Matias Schuster Puga, Université Catholique de Louvain,
Chaussée de binche,151, Mons, 7000, Belgium,
, Jean-sébastien Tancrez
We propose a location-inventory model that can be applied to design large supply
chain networks. We address a continuous non-linear formulation that minimizes
transportation, inventory, order, safety stock and facility opening costs. We solve
the non-linear model with an heuristic algorithm that relies on the fact that the
model simplifies to a continuous linear program when two auxiliary variables are
fixed. We show the efficiency of the algorithm with the computation of numerical
experiments.
2 - SQRTN and Portfolio Effect Inventory Models: Notes on Practical
Use and Accuracy for Practitioners
Tan Miller, Director Global Supply Chain Management Program,
Rider University, 12 Winding Way, Morris Plains, NJ, 07950,
United States of America, Renato De Matta,
Minghong Xu
We conduct simulations of alternative logistics network inventory stocking
strategies. We then evaluate the accuracy and practical utility to network planners
of using multiple portfolio effect models and the SQRTN model to predict changes
in inventory investment requirements under alternative inventory network
strategies and configurations.
TD01