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dc.contributor.authorKomoroski, Christine L.
dc.date2005
dc.date.accessioned2012-03-14T16:58:34Z
dc.date.available2012-03-14T16:58:34Z
dc.date.issued2005
dc.identifier.urihttp://hdl.handle.net/10945/376
dc.descriptionAcquisition research (Graduate School of Business & Public Policy)en_US
dc.description.abstractAs technology advances at an ever-quickening pace, it has become more important to identify ways to capture and measure the spectrum of benefits information technology resources can provide. In today's competitive global economy, organizations that best employ and manage knowledge assets to maximize process executions, and improve process outputs, will prosper. Through the analytic form of analysis known as the Knowledge Value Added (KVA) methodology, this thesis will identify a technique to measure the performance of knowledge assets. The resulting values can be compared in varying notional scenarios to assess potential improvements for knowledge-intensive processes. This method of analysis will demonstrate how reengineered processes enable organizations to reduce costs, and maximize knowledge creation and production capacity. A Proof of Concept was developed to analyze the long-established Shipyard planning yard processes, which supports maintenance and modernization of the U.S. Navy Fleet. With these baseline processes as the cornerstone for academic analysis, the KVA methodology shows iterations of varying scenarios using automated data capture and collaborative technology, and the return each provides. Most importantly, the methodology establishes evidence which suggests reengineered shipyard planning yard processes will shorten the duration of Navy ship availabilities, while reducing the annual operating cost of four government planning yards by more than $30 million dollars.en_US
dc.format.extent1 v.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleReducing cycle time and increasing value through the application of knowledge value added methodology to the U.S. Navy Shipyard planning processen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.identifier.oclcocn314161383
dc.identifier.npsreportNPS-AM-06-003
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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