Formulations and solutions of pallet loading problems in smart logistics
这篇综述讨论了智能物流中托盘装载问题的不同场景、约束和目标，总结了各种算法的优缺点，并指出了未来研究方向，对物流和制造业从业者及研究者有参考价值。
In smart logistics and transportation, packages are usually packed and loaded onto pallets, and then loaded into containers for transportation. Robotic arms are used for palletising operations in highly automated industry chains. These must be real-time and the loaded pallets are stable. Thus, an optimal or near-optimal solution to Pallet Loading Problems (PLP) can help such complex logistic operations, e.g., warehouse management, shipping, and airline cargo transportation, to achieve high efficiency and low cost. This survey paper discusses different PLP scenarios and indicates their various constraints and objectives. Then, we summarise different algorithms and show their advantages and disadvantages when solving PLP. Another contribution is to discuss the future research directions to advance this research field.