COMPARATIVE ANALYSIS OF RISKS IN TRADITIONAL INVENTORY METHODS AND UAV-ASSISTED INVENTORY PROCESSES

1 DEREŃ Klaudia
Co-authors:
1 ŻUREK Arkadiusz
Institution:
1 CASUS – Center for Advanced Systems Understanding, Autonomous Systems Division, Unmanned aerial vehicles (UAV) section, Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR), Görlitz, Germany, EU, k.deren@hzdr.de , a.zurek@hzdr.de
Conference:
CLC 2023 - Carpathian Logistics Congress, Wellness Hotel Step, Prague, Czech Republic, EU, November 8 - 10, 2023
Proceedings:
Proceedings CLC 2023 - Carpathian Logistics Congress
Pages:
99-105
ISBN:
978-80-88365-17-4
ISSN:
2694-9318
Published:
10th April 2024
Metrics:
14 views / 21 downloads
Abstract

Asset inventories in both the public and private sectors play a key role in managing assets and maintaining accurate asset records. Traditional inventory methods are often associated with various risks. In recent years, unmanned aerial vehicle (UAV) systems have become increasingly popular as tools supporting inventory processes. The aim of this publication is to conduct a comparative analysis of the risks associated with traditional and UAV-assisted inventory processes.Our research, conducted across various economic sectors, included all stages of the inventory process from data collection to analysis. The results suggest that UAV-assisted inventory may result in a lower rate of risks compared to traditional methods. We will describe factors affecting the quality and time of inventory processes, the equipment used, and identify best practices that can help minimize risks in inventory processes supported by UAV systems.The conclusions from this analysis will be important for companies planning to introduce UAVs into their inventory processes as well as for organizations aiming to optimize the efficiency and accuracy of their existing methods. This publication provides practical guidance on selecting appropriate inventory tools and strategies to minimize risks and improve the quality of inventory data.

Keywords: Inventory, UAV, UAS, adverse events, risks, comparative analysis, process optimization

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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