Method for optimizing space utilization in palletizing packaged custom panel furniture

Under the industrial background of intelligent transformation in manufacturing, the panel-based customized furniture industry has achieved rapid expansion in market scale by virtue of its core competitiveness of “customized design and flexible production”. However, the industry’s production characteristics of “high product variety, small batch size and multiple production batches” have led to an increasingly prominent contradiction between the surge in the number of packaging units and the constraints of storage space, making it urgent to maximize storage space utilization through scientific palletizing methods.

This paper designed and implemented a palletizing optimization method based on a hierarchical greedy strategy to address this problem. By constructing a composite priority ranking mechanism, hierarchical plane layout and dynamic gap-filling strategy, and combining the constraints of support area and stability requirements in actual stacking, this paper proposed a spatial planning optimization method suitable for finished product packaging and palletizing of panel-based customized furniture.

Basic data were collected and processed from the production line of a large furniture group. A comparison between the proposed palletizing space optimization method and traditional manual palletizing reveals that the pallet space utilization rate increases from less than 40.00% to 50.37%, while the number of pallets used decreases from 18 to 11. Additionally, through active constraints and optimized support layouts, this method significantly raises the average support area ratio to 87.5%, and strictly controls the minimum support ratio above the safety threshold of 60%.

Without changing the existing equipment conditions and the number of workers, the method proposed in this paper aims to maximize pallet space utilization, reduce the number of pallets used, and enhance stacking stability, thus achieving an intelligent upgrade from manual experience to intelligent decision-making in the palletizing process. It not only significantly improves space utilization but also provides systematic technical support for enterprises to achieve efficient palletizing and cost reduction.