Operations Research - Logistics Analysis - Curriculum 361
Program Officer
Matt Geiser, CDR, USN
Code GB, Ingersoll Hall, Room 219A
(831) 656-3953, DSN 756-3953
mtgeiser1@nps.edu
Academic Associate
Steven E. Pilnick, Ph.D.
Glasgow Hall, Room 291
(831) 656-2283, DSN 756-2283
FAX (831) 656-2595
spilnick@nps.edu
Brief Overview
This program provides education in mathematics and computation, probability and statistics, data analysis, simulation, optimization as foundation for logistics operations analysis.
Requirements for Entry
A baccalaureate degree with above-average grades is required. Completion of mathematics through single variable differential and integral calculus with above-average grades is considered minimal preparation. Students without these quantitative prerequisites will be accepted in cases where their undergraduate records indicate that they are exceptional students and there are other indicators of potential. An academic profile code (APC) of 235 is required. Waivers will be considered for an APC of 345.
Convenes
Fall, Spring
Degree
Requirements for the Master of Science in Operations Research degree are met en route to satisfy the Educational Skill Requirements of the curriculum.
Alternatively, the Master of Operational Analysis (Warfare) degree may be awarded in lieu of the Master of Science in Operations Research. The Department Chair's approval is required for all programs leading to this degree. Applications to include the Master of Operational Analysis (Warfare) degree in dual master's programs will not be approved.
Subspecialty
Completion of this curriculum qualifies an officer as an Operations Research Logistics Analysis (ORLA) Subspecialist with a subspecialty code of 3212P. The community manager for this subspecialty is BUPERS-316, the Director of Supply Corps Officer Community Management.
Typical Subspecialty Jobs
Joint Chiefs of Staff: Joint Logistics Planning, Mobility Analyst
OPNAV: Operational Logistics Analyst, Logistics Assessment
Fleet Forces Command: Readiness Analyst
Naval Supply Systems Command, Weapons Systems Support: Operations Research Director, Analyst
Defense Logistics Agency: Operations Research Analyst
TRANSCOM: Operations and Plans Officer, Sealift Analyst
Afloat Staffs: Logistics Planning Officer
Typical Course of Study (with JPME)
Quarter 1
MO2180 | Mathematical Foundations for Operations Research | | 4 | 1 |
OA2801 | Computational Methods for Operations Research | | 4 | 1 |
OA3101 | Probability | | 4 | 1 |
OA2600 | Principles of Operations Analysis | | 4 | 0 |
Quarter 2
OA3102 | Statistics | | 4 | 2 |
OA3201 | Linear Programming | | 4 | 0 |
OA3301 | Stochastic Models I | | 4 | 0 |
OA3801 | Computational Methods for Operations Research II | | 3 | 1 |
Quarter 3
Quarter 4
Quarter 5 (First eight weeks)
OA3802 | Computational Methods for Data Analytics | | 4 | 0 |
OA4655 | Introduction to Joint Combat Modeling | | 4 | 0 |
OA4801 | Spreadsheet Modeling for Military Operations Research | | 3 | 2 |
OA3900 | Workshop in Operations Research/Systems Analysis | | V | 0 |
| (Last three weeks) Experience Tour/Thesis Research | | | |
Quarter 6
OA3611 | Principles of Operational Logistics | | 4 | 0 |
OA4702 | Cost Estimation | | 4 | 0 |
NW3230 | Strategy and War | | 4 | 2 |
OA0810 | Thesis Research for Operations Analysis Students | | 0 | 8 |
Quarter 7
OA4613 | Energy Logistics in Warfare Operations | | 4 | 0 |
NW3285 | Theater Security Decision Making | | 4 | 0 |
NW3275 | Joint Maritime Operations - part 1 | | 4 | 0 |
OA0810 | Thesis Research for Operations Analysis Students | | 0 | 8 |
Quarter 8
OA4602 | Joint Campaign Analysis | | 4 | 0 |
OA3304 | Decision Theory | | 4 | 0 |
NW3276 | Joint Maritime Operations - part 2 | | 2 | 2 |
OA0810 | Thesis Research for Operations Analysis Students | | 0 | 8 |
Educational Skill Requirements (ESR)
Operations Research Logistics Analysis - Curriculum 361
Subspecialty Code 3212P
- Basics: The graduate will possess the mathematical and computing skills to support quantitative analysis.
- Modeling Uncertainty: The graduate will be well-versed in applications of probability and, statistics, and their applications to Operations Research (OR) problems.
- Optimization: The graduate will be able to formulate and solve a wide variety of optimization problems and also be conversant with the major uses of such models in DoD and the private sector.
- Stochastic Modeling: The graduate will be able to formulate and solve problems involving stochastic processes (processes with uncertainty over time) and be familiar with major applications of such models.
- Simulation: The graduate will be able to construct and utilize Discrete Event and Monte Carlo simulations of combat and other processes, particularly logistics themed, evolving in time, and will be able to deal with statistical issues associated with the need for replication.
- Analysis of Military Operations: The graduate will be familiar with US, Allied and potential enemy capabilities, and will be able to model and analyze joint military operations using OR techniques. The graduate will also be able to develop and evaluate new tactical and logistics concepts for the range of operations from humanitarian assistance/disaster relief to combat.
- Joint Logistics Analysis: The graduate will understand naval supply systems and joint operational logistics, and will be able to use quantitative analysis techniques in all aspects of logistics support.
- Systems Analysis: The graduate will understand the principles and applications of be able to apply systems analysis concepts as a basis for making key decisions on force requirements, weapon systems, and other defense problems.
- Practice: The graduate will have gained experience working on all aspects of an analytical study, to include completing a formal thesis as a demonstration of their independent analytical capability and proficiency in presenting results both via briefings and in writing.
Curriculum Sponsor and ESR Approval Authority
The Major Area Sponsor (MAS) for the Operations Research Logistics Analysis subspecialty is Deputy Chief of Naval Operations, Fleet Readiness and Logistics (N4). The designated Subject Matter Expert (SME) for the Operations Research Logistics Analysis curriculum is Commander, Naval Supply Systems Command. The Curriculum and ESR approval authority is Deputy Chief of Naval Operations, Warfighting Development (OPNAV N7). (ORLA Curriculum Review conducted 21 August 2024.)