A dynamic data production model for the Alaska SAR facility

  • Authors:

  • Kara L. Nance;Yi Zhang

  • Affiliations:

  • Department of Mathematical Sciences, University of Alaska, Fairbanks, Fairbanks, AK;Department of Mathematical Sciences, University of Alaska, Fairbanks, Fairbanks, AK

  • Venue:
  • ACM SIGGROUP Bulletin - Special issue: enterprise modelling: case studies and business process re-engineering
  • Year:
  • 1997

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Abstract

"Business process design is usually done informally, and individual design decisions are hard to relate to business objectives. [Yu96]" This statement succinctly describes a problem which plagues many businesses today. When a system is designed in a piecemeal fashion from semi-autonomous entities producing heterogeneous components which then are combined into one homogeneous system, an enterprise model is not a luxury. It is a necessity. The recent increase in support for formalized software engineering plans have contributed to a number of businesses backtracking and attempting to produce enterprise models which will enable them to investigate how subsystems operate, analyze why they operate in that manner, identify system bottlenecks, and provide a foundation for future development. Alaska SAR Facility (ASF) is one such entity. A Dynamic Data Production Model (DDPM) is being constructed as an enterprise model in an attempt to better understand the current system and provide a foundation for the creation of a Dynamic Data Load Module (DDLM).