Publication Type
Journal Article
Version
submittedVersion
Publication Date
7-2025
Abstract
Managing the performance of intralogistics operations, that is logistics operations within facilities such as manufacturing plants, order fulfillment warehouses, ports and terminals, and retail stores, is critical in fulfilling customer expectations. Traditional decision-making for intralogistics operations is based on historical data, typically collected over long-range intervals with significant processing delays. However, nowadays, Internet of Things (IoT) applications are used to gather detailed real-time data to make dynamic decisions. These new data sources provide challenges and opportunities for operations management. We provide an overview of prominent IoT technologies in four domains: manufacturing, warehousing, ports and terminals, retail, and other emerging areas. We discuss four prominent research questions (cutting across multiple application domains) that can be addressed using new data sources, along with the methodological approach and managerial insights that may result. In particular, IoT can improve the tracking and tracing of objects, equipment, and humans and provide rapid alerts, allowing managers to make real-time decisions and improve asset use, uptime, and profitability.
Keywords
Internet of Things, IoT, operations, intralogistics, research topics
Discipline
Operations and Supply Chain Management | Technology and Innovation
Research Areas
Operations Management
Publication
Production and Operations Management
First Page
1
Last Page
21
ISSN
1059-1478
Identifier
10.1177/10591478251362677
Publisher
SAGE
Embargo Period
7-23-2025
Citation
de Koster, Rene; Roy, Debjit; Lim, Yun Fong; and Kumar, Subodha.
Internet of Things in intralogistics: Applications and emerging research. (2025). Production and Operations Management. 1-21.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7727
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1177/10591478251362677