Operations Research - Logistics Analysis - Curriculum 361

Program Officer

Matthew Geiser, CDR, SC, USN

Code OR, Glasgow Hall, Room 259

(831) 656-7626, DSN 756-7626

FAX (831) 656-2595

mtgeiser1@nps.edu

Academic Associate

Steven E. Pilnick, Ph.D.

Code OR, 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 325 is required. Waivers may be obtained with a one-quarter refresher.

Entry Date

Operations Research Logistics Analysis (ORLA) is a seven-quarter course of study (eight quarters including JPME) with entry dates in March and September. If needed, students attend a one-quarter mathematics “refresher” prior to entering the ORLA curriculum. The refresher sequence begins in January or July, for the March or September start dates, respectively. If further information is needed, contact the Academic Associate or Program Officer for this curriculum.

Degree

Requirements for the Master of Science in Operations Research degree are met en route to satisfying the Educational Skill Requirements of the curriculum.

Subspecialty

Completion of this curriculum qualifies an officer as an Operations Research al 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 0 (Refresher, if needed)

Course NumberTitleCreditsLecture HoursLab Hours
MA1113Single Variable Calculus I

4

0

MA1114Single Variable Calculus II with Matrix Algebra

4

0

MA1025Introduction to Mathematical Reasoning

4

0

OA1600Introduction of Operations Analysis I

2

2

Quarter 1

Course NumberTitleCreditsLecture HoursLab Hours
MA1118Multivariable Calculus for Operations Research

4

0

MA3042Linear Algebra

4

0

OA2801Computational Methods for Operations Research

4

1

OA3101Probability

4

1

Quarter 2

Course NumberTitleCreditsLecture HoursLab Hours
OA3102Statistics

4

2

OA3304Decision Theory

4

0

OA3201Linear Programming

4

0

OA3301Stochastic Models I

4

0

Quarter 3

Course NumberTitleCreditsLecture HoursLab Hours
OA3103Data Analysis

4

1

OA4202Network Flows and Graphs

4

0

OA4301Stochastic Models II

4

0

OA3302Simulation-Modeling

4

0

Quarter 4

Course NumberTitleCreditsLecture HoursLab Hours
OA4106Advanced Data Analysis

3

1

OA4333Simulation Analysis

4

0

OA3501Inventory I

4

0

OA4201Nonlinear Programming.

4

0

Quarter 5 (First eight weeks)

Course NumberTitleCreditsLecture HoursLab Hours
OA4613Energy Logistics in Warfare Operations

4

0

OA4655Introduction to Joint Combat Modeling

4

0

OA4801Spreadsheet Modeling for Military Operations Research

3

2

(Last three weeks) Experience Tour/Thesis Research

Quarter 6

Course NumberTitleCreditsLecture HoursLab Hours
OA3611Principles of Operational Logistics

4

0

OA4702Cost Estimation

4

0

OA4602Joint Campaign Analysis

4

0

OA0810Thesis Research for Operations Analysis Students

0

8

Quarter 7

Course NumberTitleCreditsLecture HoursLab Hours
ELECTElective OA4XXX

0

4

NW3230Strategy & War

4

2

NW3275Joint Maritime Operations - part 1

4

0

OA0810Thesis Research for Operations Analysis Students

0

8

Quarter 8

Course NumberTitleCreditsLecture HoursLab Hours
ELECTElective OA4XXX

0

4

NW3285Theater Security Decision Making

4

0

NW3276Joint Maritime Operations - part 2

2

2

OA0810Thesis Research for Operations Analysis Students

0

8

Educational Skill Requirements (ESR)

Operations Research Logistics Analysis - Curriculum 361

Subspecialty Code 3212P

  1. Basics: The graduate will possess the mathematical and computing skills to support quantitative analysis.
  2. Modeling Uncertainty: The graduate will be well-versed in applications of probability and, statistics, and their applications to Operations Research (OR) problems.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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, Integration of Capabilities and Resources, Office of the Chief of Naval Operations(OPNAV N8). 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 Director, Total Force Manpower, Training, and Education Requirements Division, Office of the Chief of Naval Operations(OPNAV N12)., Office of the Chief of Naval Operations. (Joint ORLA Curriculum Review conducted 10 August 2016.)