Latest Articles for Logistics

Examining the complexities of packing unit squares into simple polygons.

Strategies to minimize costs in online request delivery systems.

Exploring optimal transport with constraints for effective resource movement.

Optimizing routes for pickup and delivery tasks using reinforcement learning.

Exploring effective mechanisms for placing service facilities based on user demand.

A new deep learning model enhances delivery route planning for logistics companies.

Efficient methods for assigning tasks to multiple robots in real-time environments.

Analyzing challenges of parcel sorting using graphs for improved logistics.

Addressing drone delivery issues when communication fails mid-flight.

New methods to improve job scheduling efficiency across identical machines.

Discover how cross-docking improves logistics and reduces costs in supply chains.

This article outlines a method for robots to optimize paths considering time and energy.

Introducing a framework for solving complex packing challenges in various fields.

A new framework enhances understanding of vehicle routing decisions.

A look into parking functions and their geometric representations.

Discover how warm start algorithms improve performance using prior knowledge.

Robotic Mobile Fulfillment Systems improve order processing in warehouses.

A simulation model reveals effective strategies for resilient supply chains during pandemics.

Linking clustering techniques with vehicle routing for efficient deliveries.

GASE method enhances vehicle routing efficiency using adaptive learning techniques.

A modern approach to predictive maintenance for packaging machines in manufacturing.

A new model improves delivery speed using trucks and drones.

Discover how tensor networks can transform various industrial applications and optimize processes.

Learn about optimal transport and its applications in logistics and beyond.

This article discusses methods to enhance delivery routing by considering driver preferences.

A data-driven method for optimizing drone deliveries in real-time.

New method shows promise in solving complex combinatorial challenges.

A new method improves efficiency and fairness in warehouse picking operations with robots.

An overview of important ideas within graph theory and their applications.

A look into how parking functions model car parking and avoid patterns.

A new algorithm improves planning effectiveness by managing knowledge depth.

A new algorithm optimizes resource allocation for users over time.

A new model improves efficiency in loading and unloading shipping containers.

AMRs are transforming warehouse operations by improving efficiency and reducing labor strain.

A method to optimize dynamic vehicle routing with LIFO unloading and docking constraints.

BF-DCQO combines classical and quantum methods to tackle complex optimization challenges effectively.

Exploring how quantum technology can streamline scheduling and routing in logistics.

A new method combines unsupervised learning with combinatorial optimization to improve decision-making.

A look at how order pooling enhances food delivery efficiency.

A new method enhances efficiency in optimal transport problems using flow updates.