Autonomously organized block stacking warehouses: A review of decision problems and major challenges

In autonomously organized block stacking ware-houses, Automated Guided Vehicles (AGVs) control material handling without requiring any technical in-tegration or Warehouse Management System (WMS). In this paper, we present related decision problems and provide a short literature overview for each one. We found that many existing approaches do not exploit the full potential of available flexibility. By focusing on operational decisions, we introduce the autonomous block stacking warehouse problem (ABSWP) and dis-cuss major challenges which must be tackled by future solution approaches.

Authors

Institutions

Publication Details

Journal
Logistics Journal Proceedings
Published
2024-12-16
DOI
https://doi.org/10.2195/lj_proc_pfrommer_en_202012_01
Citations
5
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomously organized block stacking warehouses: A review of decision problems and major challenges

Anne Meyer, Jakob Pfrommer
5 citations
Logistics Journal Proceedings
Advanced Manufacturing and Logistics Optimization
0.35
article

Autonomously organized block stacking warehouses: A review of decision problems and major challenges

Anne Meyer, Jakob Pfrommer
article en
5 citations

Abstract

In autonomously organized block stacking ware-houses, Automated Guided Vehicles (AGVs) control material handling without requiring any technical in-tegration or Warehouse Management System (WMS). In this paper, we present related decision problems and provide a short literature overview for each one. We found that many existing approaches do not exploit the full potential of available flexibility. By focusing on operational decisions, we introduce the autonomous block stacking warehouse problem (ABSWP) and dis-cuss major challenges which must be tackled by future solution approaches.

Logistics Journal Proceedings
TU Dortmund University (DE)
Openalex Percentile: Top 43%
Advanced Manufacturing and Logistics Optimization
0.35
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.