A Prototype Supply Point Locator for U.S. Army Divisions

Abstract

A demonstration prototype Decision Support System (DSS) has been developed, documented, and validated for the interactive selection of supply point locations within a U.S. Army Division area of operations. The DSS, called a Supply Point Locator (SPL), assumes a sophisticated software and hardware environment which uses a tactical terrain database as input for the analysis of terrain and selection of potential supply points. Locations of customers and potential supply point locations and the road network data connecting them are assumed to be in machine-usable form. The SPL first assists the user in providing and revising problem specific data on demands, supplies, vulnerability, risk guidance, and supported unit locations. Then the SPL assists the user in performing an interactive optimization procedure based on the location-allocation optimization model that balances 'lag' (responsiveness) against 'loss' (vulnerability). The SPL helps in identifying efficient solutions, in investigating the consequences of uncertainties or changes in data, and in integrating considerations not practically quantifiable in the location-allocation formulation such as mission, enemy, terrain, vulnerability, and commander's guidance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA203915

Entities

People

  • Larry L. Wheeler

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artillery
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Decision Support Systems
  • Digital Communications
  • Fire Support
  • Flow Network
  • Heuristic Methods
  • Mathematical Programming
  • Military Applications
  • Operating Systems
  • Operations Research
  • Systems Engineering
  • Tactical Decision Aids

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Systems Analysis and Design