Manage Toward Success - Utilization of Analytics in Acquisition Decision Making

Large information technology (IT) projects such as Defense Business System (DBS) acquisitions have been experiencing an alarming rate of large cost overruns, long schedule delays, and under-delivery of specified capabilities. There are strict defense acquisition laws/regulations/policies/guidance wi...

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Bibliographic Details
Main Authors: Tzeng, Sean, Chang, K C
Format: Report
Language:English
Subjects:
ACQUISITION
Administration and Management
BAYES THEOREM
COMMERCE
COSTS
DAPS(ACQUISITION PROBABILITY OF SUCCESS)
DECISION MAKING
DEFENSE SYSTEMS
DELAY
KNOWLEDGE BASED SYSTEMS
MATHEMATICAL MODELS
Operations Research
PROBABILITY
RATES
REASONING
REPRINTS
SCHEDULING
Statistics and Probability
TOPOLOGY
UTILIZATION
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Summary:Large information technology (IT) projects such as Defense Business System (DBS) acquisitions have been experiencing an alarming rate of large cost overruns, long schedule delays, and under-delivery of specified capabilities. There are strict defense acquisition laws/regulations/policies/guidance with an abundance of review and oversights, generating a plethora of data and evidence for project progress. However, with the size and complexity of these large IT projects and sheer amount of project data they produce, there are challenges in collectively discerning these data and making successful decisions based on them. This research article develops an analytic model with Bayesian networks to orient the vast number of acquisition data and evidence to support decision making, known as the DBS Acquisition Probability of Success (DAPS) model. Published in Defense ARJ v22 n2 p192-214 Apr 2015.