Containerised parcel delivery: Modelling and performance evaluation
研究了集装箱利用率、分拣决策和成本参数变化对包裹递送网络性能的影响，结合混合整数规划和机器学习建模，为快递公司优化分拣和集装箱化决策提供指导。
This paper investigates different factors that affect the performance of containerised transportation in parcel delivery networks. Motivated by challenges confronted by a postal delivery company in Australia, we study how container utilisation rate, sortation decisions, and changes in cost parameters can affect the overall performance of a parcel delivery network. Leveraging a combination of mixed-integer programming and machine learning, we model a realistic parcel delivery network and evaluate its performance using data from a major postal service provider. The insights obtained from our analysis offer valuable guidance to parcel delivery companies, empowering them to make informed parcel sortation and containerisation decisions.