Integrated Scheduling in Automated Warehouses with Multi-Tier Racks

This research investigates the coordinated scheduling of pallets and various transport systems within an automated warehouse featuring multi-level storage racks and dual storage location types. The transport equipment examined includes automated guided vehicles, unit-loaders, pallet lifts, and shuttles. The study employs a Mixed-Integer Programming (MIP) model to handle inbound logistics operations, specifically pallet assignment, transportation, storage procedures, and vehicle scheduling. To support and verify this model, researchers developed a three-phase heuristic approach. Comprehensive numerical testing conducted with Cplex Optimization Studio evaluates the algorithm’s performance, showing its capacity to efficiently resolve complex, large-scale scenarios that exceed the capabilities of the standard MIP model. The comparative analysis also yields valuable operational insights that can be implemented to improve automated warehouse efficiency.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/eeiss65394.2025.11085769
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Scheduling in Automated Warehouses with Multi-Tier Racks

Zhenyong Wu, Yuanju Qu, Tao Xu, H. Wu
Advanced Manufacturing and Logistics Optimization
article

Integrated Scheduling in Automated Warehouses with Multi-Tier Racks

Zhenyong Wu, Yuanju Qu, Tao Xu, H. Wu
article en

Abstract

This research investigates the coordinated scheduling of pallets and various transport systems within an automated warehouse featuring multi-level storage racks and dual storage location types. The transport equipment examined includes automated guided vehicles, unit-loaders, pallet lifts, and shuttles. The study employs a Mixed-Integer Programming (MIP) model to handle inbound logistics operations, specifically pallet assignment, transportation, storage procedures, and vehicle scheduling. To support and verify this model, researchers developed a three-phase heuristic approach. Comprehensive numerical testing conducted with Cplex Optimization Studio evaluates the algorithm’s performance, showing its capacity to efficiently resolve complex, large-scale scenarios that exceed the capabilities of the standard MIP model. The comparative analysis also yields valuable operational insights that can be implemented to improve automated warehouse efficiency.

Nanjing University of Information Science and Technology (CN), Zhengzhou University of Light Industry (CN), Southern University of Science and Technology (CN), Nanjing University of Science and Technology (CN), Guangxi Science and Technology Department (CN)
Social Science Foundation of Jiangsu Province
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.