An AI approach for optimizing multi-pallet loading operations
Expert Systems with Applications: An International Journal
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In logistics, it was impossible to automatically palletize different kinds of loads on pallets without human thinking. We have developed a planning system for multiple kinds of loads by hybridizing a GA (to make the combinations of loads and pallets) and the traditional beam search algorithm that allows us to use heuristic knowledge in loading process (to stack loads on a pallet effectively in space). The system has shown the performance to make a plan in reasonable time, and has enabled a picking machine to automate the work of palletizing multiple kinds of loads. The developed system is successfully applied to multiload automatic storage.