2015 Informs Annual Meeting

TD01

INFORMS Philadelphia – 2015

Tuesday, 4:30pm - 6:00pm

TD02 02-Room 302, Marriott Military Applications Contributed Session

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, Brian.Lunday@afit.edu 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, david.casbeer@us.af.mil, 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, matthew.robbins@afit.edu, 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, ryan.slocum@usma.edu, 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, Brian.Lunday@afit.edu, 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.

Chair: Irene Gerlovin, PhD Candidate/ Part Time Lecturer, Rutgers Business School, 1 Washington Pl, Newark, NJ, 07102, United States of America, irene.gerlovin@gmail.com 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, venkav3@rpi.edu, 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, raman.pall@forces.gc.ca, 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, irene.gerlovin@gmail.com, 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. Chair: Ruiqi Hou, University of Science and Technology of China, East Campus USTC, No. 96 Jinzhai Road, Room 367-414, Hefei, 230026, China, qiqimath@gmail.com 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, matias.schuster@uclouvain.be, 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, tanjean@verizon.net, 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. TD03 03-Room 303, Marriott Inventory Management II Contributed Session

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