In this paper, we introduce the Special Issue on Machine Learning Methods and
Applications in Large-Scale Route Planning Problems, which draws its inspiration from the …

The last-mile logistics is regarded as one of the least efficient, most expensive, and polluting
part of the entire supply chain and has a significant impact and consequences on …

Abnormal swing angle detection of bucket grabs is crucial for efficient harbor operations. In
this study, we develop a practically convenient swing angle detection method for crane …

Background: The last-mile delivery phase, the final stage where goods move from a
distribution center to customers, is pivotal but faces significant inefficiencies and high costs …

Courier overtime and burnout have become increasingly severe with the rapid expansion of
e-commerce, drawing widespread media coverage and significant public attention …

This paper presents a contextual framework for solving the data-driven traveling salesman
problem in last-mile delivery. The objective of the framework is to generate routes similar to …

Empirical evidence suggests that couriers often deviate from pre-planned delivery routes
due to practical realities that routing algorithms may overlook. We statistically demonstrate …

Vehicle routing problems (VRPs) with deadlines have received significant attention around
the world. Motivated by a real-world food delivery problem, we assume that the travel time …

In this research, we focus on improving service oriented routing by addressing the nuanced
challenge of punctuality through the consideration of couriers' ability to ensure on-time …

This dissertation considers how a parcel delivery company can improve last mile delivery
services' performance using historical data. To tackle this challenge, we start by proposing a …