Latest Articles for Logistics

Examining the efficiency and fairness in real-time vehicle task assignment.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

New methods improve efficiency and flexibility in optimal transport using tempered exponential measures.

Innovative methods to enhance task execution and reduce failures in crowdsourcing.

Robots trained with visual input can safely unload parcels without extensive labeled data.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A method to ensure accurate demand forecasts in dynamic service platforms.

This article explores challenges faced while adopting IoT in the cold supply chain.

QAL-BP integrates quantum computing to improve bin packing efficiency.

Methods to efficiently manage network paths after connection failures.

A study on finding efficient curves to cover specific areas.

A new approach to optimize vehicle routing using reinforcement learning.

Drones revolutionize last-mile delivery, enhancing speed and efficiency.

An introduction to the properties and applications of anchored configuration spaces.

An overview of key problems in metric graphs and their significance.

A study of fixed point arrangements on circles and their applications.

A look at methods to manage unequal resource distribution effectively.

Exploring methods for effective movement of mass in complex geometries.

A look into strategies for the Canadian Traveller Problem in graphs with blockages.

Strategies to optimize inventory placement for better order fulfillment in e-commerce.

Explore the significance and implications of P and NP in computer science.

Innovative methods enhance efficiency in packing unequal circles into containers.

Combining reinforcement learning and meta-operators improves decision-making in complex tasks.

A new approach enhances vehicle routing efficiency using machine learning techniques.

A new method enhances planning for collaborative robots in various environments.

Discover new strategies for optimizing job shop scheduling with self-supervised learning techniques.

Explore solutions for agents moving through shared spaces without collisions.

A new method enhances identification of chipwood pallets and metal plates.

A new method uses quantum computing to tackle complex delivery routing challenges.

A new approach enhances planning strategies using graph representations and traditional machine learning methods.

New strategies enhance speed for solving the Traveling Salesman Problem.

Examining optimal transport and Lax-Oleinik operators for efficient resource movement.

A new AI method improves scheduling in uncertain task environments.

A new scheduler improves production efficiency in complex manufacturing environments.

Exploring how quantum computing addresses challenges in logistics and supply chain management.

Learn how researchers tackle the geometric knapsack problem with various shapes to maximize efficiency.

Learn about splitter networks and their role in efficient item management.

A new algorithm enhances target assignment and pathfinding efficiency for multiple agents.

A new method combines algorithms to tackle multi-objective optimization challenges.

A fresh look at the vehicle routing problem considering complex loading constraints.