Distribution Planning: An Integration of Constraint Satisfaction & Heuristic Search Techniques

Abstract

The dynamics and complexity of logistics planning require decision support tools that do more than provide data base access or spreadsheet solutions. Techniques to aid the logistician in combat service support (CSS) planning must be capable of rapidly developing and evaluating alternate plans under battlefield conditions characterized by uncertainty, missing information, dynamic changes, too many variables, and lack pf planning time. The Human Engineering Laboratory (HEL) is developing artificial intelligence (AI) technology for use in logistics PIanners that will provide the basis for rapid logistics planning and flexible, easy-to- use "What if' capabilities in a computer-aided decision support environment including digitized terrain displays, graphical interfaces, and AI planning techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA596879

Entities

People

  • Bill Elm
  • Carolyn Dunmire
  • Ivan Johnson
  • Mark Fox
  • Neena Sathi
  • Rajay Goyal
  • Richard Camden

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Ammunition
  • Ammunition Components
  • Artificial Intelligence
  • Computer Programming
  • Computers
  • Databases
  • Emerging Technology
  • Engineering
  • Equations Of State
  • Expert Systems
  • Geographic Information Systems
  • Human Factors Engineering
  • Information Systems
  • Logistics
  • Logistics Planning
  • Transportation

Readers

  • Database Systems and Applications
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy