DocumentCode :
720271
Title :
SoS capability schedule prediction
Author :
Lane, Jo Ann ; Pitman, Adrian ; Clark, Elizabeth ; Tuffley, Angela
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fYear :
2015
fDate :
17-20 May 2015
Firstpage :
469
Lastpage :
474
Abstract :
The Australian Defence Materiel Organisation recently developed a process for determining the probability that a system development program will meet their stated delivery or completion date as well as predicting the actual schedule and identifying factors that are driving the schedule. This process, the Schedule Compliance Risk Assessment Methodology (SCRAM), provides a framework for identifying and communicating the issues and risks to, and the root causes of, schedule slippage and providing recommendations to mitigate and/or remediate issues and risks. To date, SCRAM has been successfully applied to a number of major development acquisition programs in Australia and the United States. This paper describes the application of the SCRAM process to predict the completion date of an SoS capability, conduct a root cause analysis of any identified schedule slippage, and identify possible remedial actions that can be taken to reduce schedule slippage.
Keywords :
military systems; risk management; scheduling; Australian Defence Materiel Organisation; SCRAM process; SoS capability schedule prediction; compliance risk assessment methodology; development acquisition programs; schedule slippage reduction; system development program; Australia; Cascading style sheets; Collaboration; Delays; Monte Carlo methods; Schedules; Systems engineering and theory; Risk assessment; SoS capability engineering; schedule estimation; schedule evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System of Systems Engineering Conference (SoSE), 2015 10th
Conference_Location :
San Antonio, TX
Type :
conf
DOI :
10.1109/SYSOSE.2015.7151942
Filename :
7151942
Link To Document :
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