Next Article in Journal
A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring
Previous Article in Journal
FPGA-Based Vehicle Detection and Tracking Accelerator
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Research on Impact of IoT on Warehouse Management

by
Aldona Jarašūnienė
1,
Kristina Čižiūnienė
1 and
Audrius Čereška
2,*
1
Department of Logistics and Transport Management, Vilnius Gediminas Technical University, Plytinės Str. 27, LT-10105 Vilnius, Lithuania
2
Department of Mechanical and Material Engineering, Vilnius Gediminas Technical University, Plytinės Str. 25, LT-10105 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(4), 2213; https://doi.org/10.3390/s23042213
Submission received: 11 December 2022 / Revised: 24 January 2023 / Accepted: 13 February 2023 / Published: 16 February 2023
(This article belongs to the Special Issue Sensors Technologies in the Era of Smart Factory and Industry 4.0)

Abstract

Automation and digitisation are the driving force of the Industrial Revolution 4.0. Industrial revolutions led to the mass production of goods, which increased the need for modern warehouses. Every year, the operation of warehouses becomes increasingly more complicated due to the increasing abundance of goods, thus the usual warehouse management strategies are no longer suitable. In order to cope with huge product flows, modern innovations should be used more extensively to manage these processes. Successful management will help provide quality service to rapidly changing business sectors. The Internet of Things (IoT) is a technology designed to process large amounts of data with maximum efficiency in real time. This technology can facilitate the implementation of smart identification, tracking, tracing, and management using radio frequency identification (RFID), infrared sensors, global positioning systems (GPS), laser scanners, and other detection tools. Such innovations as IoT have made a significant impact on warehousing operations. The aim of IoT is to perform administrative work, i.e., to efficiently manage warehouse data. IoT can be used to monitor and track goods, forecast demand trends, manage inventory, and perform other warehouse operations in real time. The key elements of a warehouse are sales and customer satisfaction. Implementing IoT improves financial performance, work productivity, and customer satisfaction. However, innovation requires additional investment in, for instance, implementation and maintenance. It is necessary to investigate how warehouse elements such as inventory accuracy or order processing time are affected by the internet of things in companies of different sizes. Research on the impact of IoT on warehouse management focuses on IoT advantages, disadvantages, mitigation risks, and the use of IoT in warehouses. The aim of this work is to research the impact of IoT on warehouse management in companies of different sizes and to determine whether the costs and benefits of IoT differ in the same scenario. As a result, the conceptual model for the adoption of IoT measures in warehouse companies was created, and its suitability was assessed by experts.
Keywords: Internet of Things (IoT); warehouse; management; Industry 4.0 Internet of Things (IoT); warehouse; management; Industry 4.0

Share and Cite

MDPI and ACS Style

Jarašūnienė, A.; Čižiūnienė, K.; Čereška, A. Research on Impact of IoT on Warehouse Management. Sensors 2023, 23, 2213. https://doi.org/10.3390/s23042213

AMA Style

Jarašūnienė A, Čižiūnienė K, Čereška A. Research on Impact of IoT on Warehouse Management. Sensors. 2023; 23(4):2213. https://doi.org/10.3390/s23042213

Chicago/Turabian Style

Jarašūnienė, Aldona, Kristina Čižiūnienė, and Audrius Čereška. 2023. "Research on Impact of IoT on Warehouse Management" Sensors 23, no. 4: 2213. https://doi.org/10.3390/s23042213

APA Style

Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on Impact of IoT on Warehouse Management. Sensors, 23(4), 2213. https://doi.org/10.3390/s23042213

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop