Mason Archival Repository Service

Management Towards Success - Defense Business System Acquisition Probability of Success Model

Show simple item record

dc.contributor.advisor Chang, Kuo-Chu
dc.contributor.author Tzeng, Sean
dc.creator Tzeng, Sean
dc.date.accessioned 2015-07-29T18:42:48Z
dc.date.available 2015-07-29T18:42:48Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/9692
dc.description.abstract The great amounts of data and the large number of artifacts generated during the execution of defense acquisition programs serve as evidence of program progress and decision support. However, acquisition decision makers have limited means to determine what all the evidence items collectively indicate and how they can be used to support decision making in a way that ensures program success. The Defense Business System Acquisition Probability of Success (DAPS) model is an evidence-based analytical tool developed to help decision makers analyze and understand the implications of the abundance of evidence produced during a Defense Business System (DBS) acquisition. Based on observations and inferences from evidence, the DAPS can assess program performance in specific subject matter areas (Knowledge Areas) and ascertain the overall likelihood for program success through technical reviews and milestone reviews (Knowledge Checkpoints). DAPS supports acquisition decision making and is an initial step forward in improving human understanding and ability to innovate and engineer systems through evidential reasoning.
dc.format.extent 286 pages
dc.language.iso en
dc.rights Copyright 2015 Sean Tzeng
dc.subject System science en_US
dc.subject Industrial engineering en_US
dc.subject Management en_US
dc.subject Bayesian Inference en_US
dc.subject Decision Analysis en_US
dc.subject Defense Acquisition en_US
dc.subject Evidential Reasoning en_US
dc.subject Project Management en_US
dc.subject Systems Engineering en_US
dc.title Management Towards Success - Defense Business System Acquisition Probability of Success Model
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Systems Engineering en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics