• DocumentCode
    1064079
  • Title

    Autonomic logistics

  • Author

    Dreyer, Samuel L.

  • Author_Institution
    BAE Syst., San Diego, CA
  • Volume
    9
  • Issue
    4
  • fYear
    2006
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    As was identified in the autonomic nervous system (ANS) analogy key points, an autonomic logistics (AL) approach must know what the optimal state of the system is and what constitutes an actionable deviation from that state. It must also know what to do to remedy that situation. The analysis approach presented will acquire the data to establish the optimal state. A mechanism to monitor and continuously refine the optimal state can then be developed. Like the ANS system, AL is ultimately a reactive system, the key is to strategically and systematically develop a suitable reaction management approach that minimizes system mission or performance risk. The analysis clearly defines the system limitation, expectations, and tolerance constraints. This results in implementation of supportable equipment, processes, and procedures that are better suited to achieve and sustain the desired level of mission success
  • Keywords
    decision making; logistics data processing; risk management; tolerance analysis; ANS analogy; actionable deviation; analysis approach; autonomic logistics; autonomic nervous system; optimal state; performance risk; reaction management; reactive system; system expectations; system limitation; system mission; tolerance constraints; Biological control systems; Control systems; Decision making; Humans; Logistics; Negative feedback; Nervous system; Procurement; Transportation; Weapons;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2006.1664037
  • Filename
    1664037