The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

Abstract Generalized Vehicle Routing Problem (GVRP) is a challenging operational
research problem which has been widely studied for nearly two decades. In this problem, it …

In this study, we introduce a logistic model for the delivery of small parcels to a set of service
points (SPs), and we present effective methods for solving it. In the traditional delivery …

To avoid problems such as premature convergence and falling into a local optimum, this
paper proposes an improved real-coded genetic algorithm (RCGA-rdn) to improve the …

This paper presents a study on the application of Autonomous Delivery Vehicles (ADVs) in
last-mile delivery for urban logistics. Specifically, we focus on a routing problem using multi …

Rapid growth in the world of e-commerce is forcing traditional retailers to rethink their
operational efficiency and revenue/cost streams. Retailers are facing increasing pressure to …

The Vehicle Routing Problem (VRP) is one of the most studied combinatorial optimization
problems in operations research that are classified as NP-hard. Introducing uncertainty to …

We consider a logistics service provider which arranges transportation services to customers
with different service agreements. The most prominent feature of this service agreement is …

Energy cost for maintaining the freshness of food and the cost for timely delivery are two
main features to consider in food delivery. Stale food and early or late delivery reduce …

In this paper, MASA (Modified A* Algorithm) method is introduced which can merge
numerous factors with different weights into a multi-weighted graph to offer the most optimal …