Containerised parcel delivery: Modelling and performance evaluation

Saman Eskandarzadeh and Behnam Fahimnia

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 186, issue C

Abstract: 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.

Keywords: Parcel delivery network; Containerised transport; Network design; Container utilisation; Sortation; Performance evaluation; Mixed-integer programming; Regression analysis; Machine learning (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103519

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