• DocumentCode
    677699
  • Title

    Exploring how hierarchical modeling and simulation can improve organizational resourcing decisions

  • Author

    Davis, Ericson R. ; Eckhause, Jeremy M. ; Peterson, David K. ; Pouy, Michael R. ; Sigalas-Markham, Stephanie M. ; Volovoi, Vitali

  • Author_Institution
    LMI, McLean, VA, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    2496
  • Lastpage
    2507
  • Abstract
    The resourcing environment facing businesses and governmental agencies is a complex hierarchy of interrelated decisions that span wide-ranging time horizons, where the outputs of one decision become the inputs for the next. For example, strategic resourcing decisions define multiyear, aggregate-level resource availability, which bounds the feasible region of tactical resource decisions. These tactical decisions (typically looking out over a year) disaggregate strategic resourcing decisions into a working level of resources necessary for conducting operations. Tactical decisions are themselves translated into more granular operational resource allocations. The challenge is to maintain the internal consistency of these resourcing decisions. This research describes how hierarchically integrated modeling and simulation (M&S) techniques can assist organizations with their resourcing decisions and ensure consistency across the relevant time horizons. We demonstrate how M&S enables a visualizing of unmanned aircraft system (UAS) employment so that support solutions can be tailored and operational effectiveness of organizational resourcing strategies can be maximized.
  • Keywords
    autonomous aerial vehicles; decision support systems; UAS employment; aggregate-level resource availability; granular operational resource allocations; hierarchical modeling; hierarchical simulation; modeling-and-simulation techniques; operational effectiveness; organizational resourcing decisions; resourcing environment; tactical resource decisions; time horizons; unmanned aircraft system; Analytical models; Atmospheric modeling; Availability; Computational modeling; Logistics; Optimization; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721623
  • Filename
    6721623