About the Journal

Journal Introduction: Smart Logistics and Warehousing (SLW)

Published by Hong Kong Shining Technology Corporation Limited

1. Journal Overview

Smart Logistics and Warehousing (SLW) is a peer-reviewed, international academic journal dedicated to the integration and advancement of modern logistics, supply chain management, and cutting-edge warehousing technologies. Positioned at the intersection of academia and industry, SLW aims to publish high-quality, impactful research that addresses the challenges and opportunities brought by Industry 4.0, next-generation artificial intelligence, and global digital transformation.

2. Aims & Scope

The rapid evolution of the Internet of Things (IoT), robotics, and big data is fundamentally reshaping the logistics landscape. SLW provides a premier global platform for researchers, engineers, and practitioners to share pioneering theoretical models, disruptive technological innovations, and successful industrial case studies.

The journal encourages interdisciplinary research that bridges Management Science, Operations Research, Industrial Engineering, Computer Science, and Control Engineering.

3. Key Research Topics

SLW welcomes Original Research Articles, Comprehensive Reviews, Short Communications, and Industrial Case Studies. The core areas of interest include, but are not limited to:

  • Smart Warehousing & Automation:

    • Automated Storage and Retrieval Systems (AS/RS) and high-density storage.

    • Fleet management, scheduling, and path planning for AGVs, AMRs, and drones.

    • Intelligent sorting, picking, and computer-vision-based inspection.

  • Logistics Big Data & AI Applications:

    • Demand forecasting and inventory optimization using deep learning.

    • Digital Twins and simulation modeling for complex logistics systems.

    • Blockchain for tracking, traceability, and secure supply chain data sharing.

  • Smart Supply Chain & Network Optimization:

    • Dynamic, multi-echelon supply chain network design.

    • Supply chain resilience, risk management, and disruption recovery.

    • Omni-channel fulfillment strategies and smart retail logistics.

  • Autonomous & Green Logistics:

    • Autonomous trucking, drone delivery, and "last-mile" smart distribution.

    • Shared logistics, collaborative distribution, and physical internet.

    • Low-carbon/carbon-neutral logistics, circular packaging, and sustainable supply chains.

4. Target Audience

  • Academics & Researchers in industrial engineering, logistics engineering, operations management, and automation.

  • Industry Practitioners including supply chain architects, logistics tech R&D directors, and warehouse operations managers at e-commerce and manufacturing firms.

  • Policymakers & Consultants evaluating standardizations and trends in smart infrastructure.

5. Journal Features

  • Rigorous Peer Review: Adheres to a strict double-blind peer-review process to ensure the highest academic integrity and innovation.

  • Rapid Publication: Streamlined editorial workflows and an "Online First" model ensure that groundbreaking research reaches the community without delay.

  • Global Visibility: Committed to open dissemination and indexing in major international databases to maximize article citation and impact.