Assessing the possible return on investment resulting from upgrading a subsystem.
Gaver, Donald P.
Jacobs, Patricia A.
MetadataShow full item record
This thesis develops a decision aid to assist in assessing the cost effectiveness of upgrading a subsystem. The procedures developed in this thesis are to estimate the time of onset and the magnitude of the degradation of a subsystem and to estimate the best time to upgrade the subsystem. Two procedures are considered to estimate the time of onset of subsystem degradation and the magnitude of the degradation. One is maximum likelihood; the other is a Bayesian procedure. These estimates are then used in a cost model to estimate the cost of remaining with the current subsystem for the remaining planned lifetime of the system. A comparison of this cost with that of investing in the upgraded subsystem can be used to obtain a best time to invest in the upgraded subsystem. Procedures to assess the uncertainty of the cost advantage of upgrading the subsystem are also studied to give further information to the decision maker.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Statistical approaches to detection and quantification of a trend with return-on-investment application Gaver, Donald Paul; Jacobs, Patricia A. (Monterey, California. Naval Postgraduate School, 1992-12); NPS-OR-93-007Mathematical models are formulated for the possible onset and growth in subsystem degradation. The model recognizes that the time of onset of a degrading trend may be random, and hence initially unknown, and that the trend ...
Holste, Steven Todd (1986-06);The limitations of the traditional Database Management System (DBMS) have become increasingly clear in recent years. Some of these limitations are interface inflexibility for user accesses, mono-lingual restriction in ...
Predicting Temperature-Dependent Solid Vapor Pressures of Explosives and Related Compounds Using a Quantum Mechanical Continuum Solvation Model Alnemrat, Sufian; Hooper, Joseph P. (American Chemical Society, 2013-02-11);Temperature-dependent vapor pressures of solid explosives and their byproducts are calculated to an accuracy of 0.32 log units using a modified form of the conductor-like screening model for real solvents (COSMO-RS). Accurate ...