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Abstract
This paper describes the implementation and deployment of LoadMax, an advanced web-based decision aid tool designed to optimize the loading and packing of outbound shipment containers at a major Johnson & Johnson distribution site. The LoadMax tool leverages advanced algorithms to balance computational complexity with solution accuracy, enabling the generation of efficient 3D loading plans for daily shipment operations.
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