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Real-time data integration of an internet-of-things-based smart warehouse: a case study

Chelinka Rafiesta Sahara (Sampoerna University, Jakarta, Indonesia)
Ammar Mohamed Aamer (Northeastern University, College of Professional Studies, Toronto, Canada)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 23 July 2021

Issue publication date: 25 November 2022

1505

Abstract

Purpose

Creating a real-time data integration when developing an internet-of-things (IoT)-based warehouse is still faced with challenges. It involves a diverse knowledge of novel technology and skills. This study aims to identify the critical components of the real-time data integration processes in IoT-based warehousing. Then, design and apply a data integration framework, adopting the IoT concept to enable real-time data transfer and sharing.

Design/methodology/approach

The study used a pilot experiment to verify the data integration system configuration. Radio-frequency identification (RFID) technology was selected to support the integration process in this study, as it is one of the most recognized products of IoT.

Findings

The experimentations’ results proved that data integration plays a significant role in structuring a combination of assorted data on the IoT-based warehouse from various locations in a real-time manner. This study concluded that real-time data integration processes in IoT-based warehousing could be generated into three significant components: configuration, databasing and transmission.

Research limitations/implications

While the framework in this research was carried out in one of the developing counties, this study’s findings could be used as a foundation for future research in a smart warehouse, IoT and related topics. The study provides guidelines for practitioners to design a low-cost IoT-based smart warehouse system to obtain more accurate and timely data to support the quick decision-making process.

Originality/value

The research at hand provides the groundwork for researchers to explore the proposed theoretical framework and develop it further to increase inventory management efficiency of warehouse operations. Besides, this study offers an economical alternate for an organization to implement the integration software reasonably.

Keywords

Acknowledgements

Erratum: It has come to the attention of the publisher that the article, “Real-time data integration of an internet-of-things based smart warehouse: a case study” by Ammar Mohamed Aamer and Chelinka Rafiesta Sahara published in International Journal of Pervasive Computing and Communications listed the authors in the incorrect order. The correct order of authors is Chelinka Rafiesta Sahara and Ammar Mohamed Aamer. This error was introduced in the editorial process and has now been corrected in the online version. The publisher sincerely apologises for this error and for any inconvenience caused.

Citation

Sahara, C.R. and Aamer, A.M. (2022), "Real-time data integration of an internet-of-things-based smart warehouse: a case study", International Journal of Pervasive Computing and Communications, Vol. 18 No. 5, pp. 622-644. https://doi.org/10.1108/IJPCC-08-2020-0113

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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