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Proceedings Paper

An Expert System Approach To Palletizing Unequal-Sized Containers
Author(s): John F. Gilmore; Susan Williams; Edward Soniat du Fossat; Ronald Bohlander; Gary R. Elling
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Paper Abstract

This interim report describes an expert system prototype being developed to palletize boxes of unequal sizes. Finding feasible arrangements for boxes of various sizes is an important problem, particularly for distribution centers. Previous efforts have focused on palletizing equal size boxes, or on the problem of unequal size containers where the inequalities are only in two dimensions. Though useful starting points, both approaches are overly restrictive in their scope. This report describes an expert system prototype being developed at Georgia Tech that integrates domain heuristics with packing algorithms to produce optimal packing configurations. As the nature of the palletizing problem varies for each distribution center, the expert system uses several application-specific assumptions to tailor the system to a specific pallet packing approach. Results demonstrating optimal palletizing for column stacking domains are presented and future plans are outlined.

Paper Details

Date Published: 21 March 1989
PDF: 10 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969343
Show Author Affiliations
John F. Gilmore, Georgia Tech Research Institute (United States)
Susan Williams, Georgia Tech Research Institute (United States)
Edward Soniat du Fossat, Georgia Tech Research Institute (United States)
Ronald Bohlander, Georgia Tech Research Institute (United States)
Gary R. Elling, Eastman Kodak Company (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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