Tag: logistics

A new study in Scientific Reports introduces a hybrid framework using variable fuzzy sets and convolutional neural networks to assess ...

A new AI decision engine combines BERT-based reading of disruption reports with a fuzzy-controlled bat algorithm to cut supply chain ...

A systematic review of 198 studies maps the end-to-end decision chain behind B2C e-commerce order fulfillment and charts a shift ...

A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize falls, collisions and shelf climbing ...

Researchers have developed an adaptive ant colony system that combines four heuristic strategies, a roulette-based ranking mechanism, and a novel ...

Researchers have developed a fuzzy multi-objective solid transportation model that simultaneously optimizes cost, transit time, and route security under uncertainty ...

Researchers have built a five-branch hybrid deep learning framework called ADAPT-FUSE that predicts cross-border e-commerce delivery delays with competitive accuracy ...