• DocumentCode
    3242827
  • Title

    Applying Statistical Process Control to the Repair Process

  • Author

    Craig, Richard W.

  • Author_Institution
    Boeing Co., St. Louis, MO
  • fYear
    2006
  • fDate
    18-21 Sept. 2006
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    Statistical process control (SPC) is widely used as a tool to control and improve process quality. In general, SPC has not found widespread application in automatic test equipment (ATE) field repair systems. The difficulty in generating test parameter metrics that can be used to efficiently monitor the repair process is a factor that has limited application of SPC to the field repair process. United States Air Force (USAF) Organizational Level (O-Level) and Intermediate Level (l-Level) repair facilities are field facilities and as such, they provide the first opportunity to flag a repair process problem. This paper will demonstrate an approach whereby SPC techniques can be applied to a field repair facility with a specific example provided by an automatic test system used for l-Level support.
  • Keywords
    aerospace computing; aerospace testing; automatic test equipment; military computing; statistical process control; United States Air Force Organizational Level; automatic test equipment field repair systems; process quality; repair process; statistical process control; Additive noise; Automatic control; Condition monitoring; Maximum a posteriori estimation; Probability; Process control; Statistical analysis; Statistics; System testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autotestcon, 2006 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1088-7725
  • Print_ISBN
    1-4244-0051-1
  • Electronic_ISBN
    1088-7725
  • Type

    conf

  • DOI
    10.1109/AUTEST.2006.283681
  • Filename
    4062394