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

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...

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Bibliographic Details
Main Authors: Camden, Richard, Dunmire, Carolyn, Goyal, Rajay, Sathi, Neena, Elm, Bill, Johnson, Ivan, Fox, Mark
Format: Report
Language:English
Subjects:
ARTIFICIAL INTELLIGENCE
BATTLEFIELDS
COMBAT SUPPORT
CSS(COMBAT SERVICE SUPPORT)
DECISION SUPPORT SYSTEMS
GRAPHICAL USER INTERFACE
HEL(HUMAN ENGINEERING LAB)
HEURISTIC METHODS
INTEGRATION
LOGISTICS PLANNING
Logistics, Military Facilities and Supplies
Operations Research
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Summary: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. Presented at the Proceedings of the Symposium on Artificial Intelligence in Military Logistics held in Arlington, VA.: American Defense Preparedness Association. Published in the Journal of Artificial Intelligence in Military Logistics, p177-182.