Impact of Different Input Data Sets on the Sorting System Performance of a Parcel Transshipment Terminal

摘要

Operators of parcel transshipment terminals face the challenge to quickly and efficiently sort and transfer a high amount of parcels. In order to meet customers' expectations short sorting intervals are required. If parcels are not loaded on time they miss their onwards connections within the network. However, the amount and characteristics of incoming vehicles and parcels changes over time and affects the sorting system performance and sorting intervals. This paper focuses on the structure of input data sets of parcel transshipment terminals. Five different data sets are developed e.g. by using kernel density estimation. A discrete-event simulation model evaluates the impact of these input data sets on the sorting system performance.