Rapid Model Development Environment (ReMeDEe)

Abstract

DRC created the PC-based Rapid Model Development Environment (ReMeDEe) to speed up the process of building logistics models and provide a user friendly model_execution environment that supports all of the MIL-STD-1388-1A quantitative analysis tasks. ReMeDEe combines the flexibility and immediacy of a spreadsheet with the power and maintainability of a general purpose programming language. It is particularly well suited to performing 'what-if' analysis, sensitivity analysis, and constrained optimization during the course of support system trade studies. ReMeDEe operating on an IBM PC provides an extremely cost effective approach for developing, tailoring, delivering and utilizing logistics models needed to perform all quantitative Logistics Support Analysis (LSA) tasks. It also provides users with a series of logistics models that all have the same 'look and feel' with consistent model control via menu command lines, spreadsheet-like I/O forms, and graphical/tabular output. This significantly reduces the training required to learn a new model and use it with confidence. Models developed In ReMeDEe can be easily integrated with external systems to provide context sensitive on-line help, direct transfer of results to desktop publishing systems, and archiving of case study data via a database management system.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA338641

Entities

People

  • Allan Kleinman
  • Katie Szeto

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Database Management Systems
  • Databases
  • Defense Systems
  • Failure Mode And Effect Analysis
  • Ground Based
  • Language
  • Logistics
  • Logistics Support
  • Maintenance
  • Programming Languages
  • Space Based
  • Systems Management
  • Three Dimensional
  • United States
  • User Interface

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications