Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2003. / Thesis advisor(s): Arnold H. Buss, David A. Schrady. Includes bibliographical references (p. 107-108). Also available online.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2003. / Thesis advisor(s): Arnold H. Buss, Kevin J. Maher. Includes bibliographical references (p. 147-148). Also available online.

Report (M.S.)--Virginia Polytechnic Institute and State University. M.S. 1992. / Vita. Abstract. Includes bibliographical references (leaves 135-136). Also available via the Internet.

Thesis (M.A.)--University of Wisconsin, Madison, 1961. / Title from title screen (viewed July 17, 2009). Includes bibliographical references (p. [162]-167).

Thesis (M.A.)--University of Wisconsin, Madison, 1961. / Includes bibliographical references (p. [162]-167).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2005. / "31 May 2005." Electronic version of original print document. Includes bibliographical references (p. 65-66).

Master of Science

The objective of this research was to develop a framework whereby the United States Naval Surface Forces could be provided with better information to determine their overall readiness capability. This study utilized the new Readiness Assessment and Reporting Standard (S9410-AN-STD-010/AEGIS) as a guide. Also, a System Design Methodology was used as a tool to develop mathematical models for generating the readiness capability for a particular system. The specific system selected for demonstrating this framework was the Gun Weapon System (GWS) being developed for the Arleigh Burke DDG-51 Class Destroyer.

Due to the complexities of modern military operations and the technologies employed on today's military systems, acquisition costs and development times are becoming increasingly large. Meanwhile, the transformation of the global security environment is driving the U.S. military's own transformation. In order to meet the required capabilities of the next generation without buying prohibitively costly new systems, it is necessary for the military to evolve across the spectrum of doctrine, organization, training, materiel, leadership and education, personnel, and facilities (DOTMLPF). However, the methods for analyzing DOTMLPF approaches within the early acquisition phase of a capability-based assessment (CBA) are not as well established as the traditional technology design techniques. This makes it difficult for decision makers to decide if investments should be made in materiel or non-materiel solutions. This research develops an agent-based constructive simulation to quantitatively assess doctrine alongside materiel approaches. Additionally, life-cycle cost techniques are provided to enable a cost-effectiveness trade. These techniques are wrapped together in a decision-making environment that brings crucial information forward so informed and appropriate acquisition choices can be made. The methodology is tested on a future unmanned aerial vehicle design problem. Through the implementation of this quantitative methodology on the proof-of-concept study, it is shown that doctrinal changes including fleet composition, asset allocation, and patrol pattern were capable of dramatic improvements in system effectiveness at a much lower cost than the incorporation of candidate technologies. Additionally, this methodology was able to quantify the precise nature of strong doctrine-doctrine and doctrine-technology interactions which have been observed only qualitatively throughout military history. This dissertation outlines the methodology and demonstrates how potential approaches to capability-gaps can be identified with respect to effectiveness, cost, and time. When implemented, this methodology offers the opportunity to achieve system capabilities in a new way, improve the design of acquisition programs, and field the right combination of ways and means to address future challenges to national security.

Approved for public release, distribution is unlimited / The U.S. Army uses a Unit Readiness Index to track the combat readiness of systems. The Unit Readiness Index relies on the accuracy of automated and manual testing of the hardware and related software of the Line Replaceable Units (LRUs) that comprise the system. These tests are based on a GO/NOGO scenario. When an LRU fails, vehicle commanders, and commanders up the chain of command, can override the failure and continue with a mission. Overriding the NOGO recommendations produces a false combat readiness status for the unit, and creates a number of problems related to unit combat decisions as well as logistical support. This thesis introduces a new process for more effectively tracking combat readiness. It outlines some of the problems associated with the current GO/NOGO scenario and examines the current tests, artifacts and data available from the current process. It proposes an additional Report process and shows how this new process will eliminate the readiness tracking problems associated with the GO/NOGO scenario. It also presents the design of a Vehicle Database and Master Fault Database to support the proposed process, and presents several sample reports generated from this Master Fault Database. / Civilian, United States Army RDECOM - TARDEC