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Pallet Size Optimization for Special Cargo Based on Neighborhood Search Algorithm

  • Hyeon-Soo Shin (KMI-KMOU Cooperation Program, Graduate school of Korea Maritime and Ocean University) ;
  • Chang-Hyun Kim (Korea Institute of Machinery and Materials) ;
  • Chang-Wan Ha (Korea Institute of Machinery and Materials) ;
  • Hwan-Seong Kim (Dept. of Logistics, Korea Maritime and Ocean University)
  • Received : 2023.05.09
  • Accepted : 2023.05.31
  • Published : 2023.10.31

Abstract

A pallet, typically a form of tertiary packaging, is a flat x'structure used as a base for the unitization of goods in the supply chain. Standard pallets, such as T-11 and T-12, are used throughout the logistics industry to reduce the cost and enhance the efficiency of transportation. However, it is impossible to handle special cargo using a standard pallet due to its size and weight, so customized pallets have been developed and are now in use. This study suggests a pallet size optimization method to calculate the optimal pallet size, which minimizes the loss of space on a pallet. The main input features are the specifications and the storage quantity of each cargo, and an optimization method that modified the Neighborhood Search Algorithm calculates the optimal pallet size. A comparative analysis was conducted through simulation to verify the optimality of the developed algorithm.

Keywords

Acknowledgement

This research was supported by the Defense Rapid Acquisition Technology Research Institute, Korea (UC200008D)

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