This research developed a process to identify condition deficiencies and sustainment requirements to assist in the development of strategic management plans for aerospace ground test systems that may be unique in design, operation, and/or maintenance.Subject matter experts can use the process to evaluate the condition of a test asset by inputting data into the developed software system. The process was designed around the concept of evaluating the condition of a system against ten parameters that encompass all of the aspects of a system that would be considered in determining its overall condition. A scale of zero (failed) to ten (new condition) is used to score both the current and the future (five years hence) state of the system. A relative aggregate scores approach is used to assign an overall condition value. Questions related to the forecasted workload of the facility and criticality of the asset in meeting the forecasted test programs provide a measure of the asset criticality and thereby assist management with project prioritization. Four different types of condition data output reports are available to management teams.The process was tested and internally validated by evaluating the condition of over three-hundred aerospace ground test assets.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 1990. / Thesis Advisor(s): McMasters, Alan W. ; Henderson, David R. "September 1990." Description based on title screen as viewed on December 21, 2009. DTIC Descriptor(s): Naval Procurement, Mathematical Models, Parameters, Navy, Theses, Costs, Precision, Procurement, Inventory, Value, Supplies, Naval Logistics, Models, Contracts, Decision Making. DTIC Identifier(s): Navy Inventory Control Points, Navy Procurement Contract Termination Model, Forecasts. Author(s) subject terms: Procurement, Contract, Termination. Includes bibliographical references (p. 57-58). Also available in print.

Thesis (Ph.D.)--University of Texas at Arlington, 2009.

Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, December 2009. / Thesis Advisor(s): Tucker, David. Second Reader: Simons, Anna. "December 2009." Description based on title screen as viewed on January 26, 2010 Author(s) subject terms: United States Special Forces, Operational, Detachment Bravo, Advanced Operational Base, B-Team, Special Forces Headquarters Company, Irregular Warfare, IW, Foreign Internal Defense, FID, Counter Insurgency, COIN, Advisory capability, USSF, USSF doctrine, Unconventional Warfare, UW, Indigenous Forces, Host Nation, Operational Role Includes bibliographical references (p. 61-63). Also available in print.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2009. / Thesis Advisor: Kress, Moshe. Second Reader: Johnson, Rachel. "December 2009." Description based on title screen as viewed on February 1, 2010. Author(s) subject terms: Bayesian updating model, Atmospheric Threat and Dispersion model, estimation of location and time of a chemical attack, sensor placement. Includes bibliographical references (p. 99). Also available in print.

Thesis (M.S.)--University of Kentucky, 2002. / Title from document title page. Document formatted into pages; contains viii, 66 p. : ill. Includes abstract. Includes bibliographical references (p. 64-65).

Thesis (M.S. in)--Naval Postgraduate School, June 2004. / Thesis advisor(s): Matt Carlyle. Includes bibliographical references (p. 29). Also available online.

Thesis (M. Phil.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 56-58).

This dissertation investigates methods of real-time adaptive traffic signal control in the context of single isolated intersection and coordinated urban network applications. A primary goal in this dissertation is to identify and address scenarios where real-time optimized controllers do not maintain competitive performance with off-line calibrated, vehicle-actuated control techniques. An extensive literature review is supplemented by subsequent simulation experiments. Several strategies were implemented and evaluated, including OPAC, PRODYN, COP, ALLONS-D, Webster's optimized fixed-time control, and vehicle-actuated control. In particular, evaluation is based on simulation of a single, isolated intersection, where all algorithms are required to adopt the exact, deterministic traffic model used by the simulation. This approach eliminates confounding factors in comparison of algorithms, such as detector placement and disparate traffic models, focusing evaluation on the efficiency of the algorithms and their ultimate performance in terms of vehicle delay. A new algorithm is developed, employing neuro-dynamic programming techniques, also known as reinforcement learning techniques. Several very effective pruning strategies are also constructed. The final product is a very efficient algorithm capable of solving problems up to 2000 times faster than the most efficient previously published algorithm tested, with an 8% decrease in delay. This algorithm is then extended to a generalized, multi-ring control formulation. Simulation results with a standard dual-ring, eight-phase controller demonstrate that efficient, real-time solutions are achieved with a corresponding 12--22% reduction in delay relative to dual-ring, vehicle-actuated control. The real-time optimized, multi-ring controller is finally extended for urban network applications, expanding the objective function to consider downstream performance measures, and adopt standard, vehicle-actuated type coordination constraints. Control on an 8-intersection arterial is evaluated using a CORSIM simulation over a range of traffic conditions. Results are compared with TRANSYT optimized fixed-time control, coordinated vehicle-actuated control, and RHODES. Two regimes of control are revealed, where cyclic coordination constraints provide a significant benefit, and where they prevent more effective control. An adaptive coordination layer is prescribed as a unifying architecture with the potential of obtaining effective control under both regimes. The adaptive control layer specification is explicitly distinguished from existing algorithms, such as SCOOT, SCATS, and VFC-OPAC.

Stochastic activity networks, a probabilistic extension of Petri nets, can be used to evaluate the performance, dependability, and performability of a wide variety of systems. When analytical solution methods are used, it is necessary to generate a state-level representation of a model prior to solution. The transition-rate matrices obtained from this representation tend to be very large and sparse. Analytical solutions to such problems can only be obtained by exploiting the matrix sparsity both in storage and computation. We do this, by studying alternative matrix representation schemes and steady-state and transient solution methods, and implementing methods appropriate for problems of this type. The results suggest that the implemented techniques can yield analytical solutions for many realistic models of computer systems and networks. This is evidenced by the performance evaluation of a CSMA/CD Local area network.