The growth in e-commerce that our society has faced in recent years is changing the view
companies have on last-mile logistics, due to its increasing impact on the whole supply …

In real-world environments, the variability is always present and influences the level and
cost service offered to customers. In this scenario, the present work develops a strategy to …

Solving the multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is
challenging due to its non-deterministic property and conflicting objectives. Most multi …

The multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is much
harder to tackle than other traditional vehicle routing problems (VRPs), due to the …

As a novel urban delivery approach, the coordinated operation of a truck–drone pair has
gained increasing popularity, where the truck takes a traveling salesman route and the …

Freight transportation activities could potentially lead to detrimental effects on the natural
and built environments and pose health risks. The importance of the present study is to …

This study addresses the vehicle routing problem with multiple hard prioritized time windows
(VRPMPTW) with heterogeneous fleet of vehicles based on restrictions of a real-life …

In real-world environments, vehicle travel and service time will be affected by unpredictable
factors and present a random state. Because of this situation, this article proposes the …

Traditionally, logistics and transportation problems have been addressed through
mathematical modelling, operations research, and simulation, but criticism has emerged …

ChatGPT is among the recent most-commonly discussed artificial intelligence systems.
While many success stories as well as misuses are exemplified in different fields like, eg …