• 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