A Survey of Software for Decision Analysis

Abstract

There are an increasing number of desktop decision support systems (DSS) generators available which can assist a manager in making decisions. The low cost of these packages also make them ideal instructional tools in academic courses covering decision analysis. Using literature review, surveys, correspondence and program inspection, this thesis demonstrates the features which are required of a good DSS as they relate to three potential uses: production, education, and demonstration. This thesis discusses the characteristics a prospective user should consider when selecting a DSS. These characteristics include features such as the user interface, data and modeling support systems and the level of support available from the vendor. Following this, the thesis reviews the state of the art in currently available programs. The programs reviewed in this thesis are easy to use and provide valuable tools for decision making. The programs lack in their ability to import and export data to other applications which limits their usefulness in a production setting, however, desktop DSS offer managers a sophisticated, yet easy to use, application which can improve decision makin and benefit or organizations at all levels.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA329641

Entities

People

  • Craig L. Herrick

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Basic Programming Language
  • Computer Programming
  • Computer Programs
  • Computers
  • Database Management Systems
  • Databases
  • Decision Support Systems
  • Human-Machine Interaction
  • Information Processing
  • Information Systems
  • Operating Systems
  • Operations Research
  • Spreadsheet Software
  • Students
  • User Interface
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Logistics and Supply Chain Management.
  • Systems Analysis and Design