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.
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Eskandarzadeh et al. (2024) studied this question.
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