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Design and application of Internet of things-based warehouse management system for smart logistics
Open accessAbstract
Warehouse operations need to change due to the increasing complexity and variety of customer orders. The demand for real-time data and contextual information is requried because of the highly customised orders, which tend to be of small batch size but with high variety. Since the orders frequently change according to customer requirements, the synchronisation of purchase orders to support production to ensure on-time order fulfilment is of high importance. However, the inefficient and inaccurate order picking process has adverse effects on the order fulfilment. The objective of this paper is to propose an Internet of things (IoT)-based warehouse management system with an advanced data analytical approach using computational intelligence techniques to enable smart logistics for Industry 4.0. Based on the data collected from a case company, the proposed IoT-based WMS shows that the warehouse productivity, picking accuracy and efficiency can be improved and it is robust to order variability.
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“Smart transportation enabled by AIoT covers traffic participants (e.g., smart internet of vehicles [256]), traffic infrastructures [257], and industry applications (e.g., smart connected logistics [258]).”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [258]
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BackgroundStrategizing a Logistics Framework for Organizational Transformation: A Technological Perspective
Hathat, Z. E., Zouadi, T., Sreedharan, V. R., & Vijaya Sunder, M. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3249577 · Cited by 3
“For example, warehouse operations cover inbound and outbound processes in various environments, such as receiving, storing, picking, and routing [6].”
BackgroundInfluentialSynergies Between Industry 4.0 and Lean on Triple Bottom Line Performance
Bortolotti, T., Boscari, S., Grob, W., & Powell, D. J. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-43662-8_15 · Cited by 3
Integrating Renewable Energy With Internet of Things (IoT) for Smart Logistics
Mumin, M. A., Yakubu, I. N., & Adam, I. O. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-6284-6.ch006 · Cited by 3
Introductory Chapter: Industry 4.0 and Its Impact on Logistics - A Retrospective Review
Bányai, T. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.89387 · Cited by 3
The Impact of Smart-Warehousing on a Local Foodservice Equipment-company’s External Customers
Kekana, P., Bakama, E. M., Mukwakungu, S. C., & Sukdeo, N. (2020) · doi:10.1109/ieem45057.2020.9309751 · Cited by 3
“On the splendid side of things, the new technology can convey positive change [14] and bring improvement [15] on the Profitability, Improved Efficiency, Increased Information Sharing and Synergistic Working, Flexibility, and Agility makes consistence simpler, Better customer experience, and Diminishes costs [16][17].”
BackgroundApplication and Innovation of Computer Internet of Things Technology in Logistics
Zhang, G., Feng, L., Zhang, H., & Cai, X. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-1468-5_116 · Cited by 3
Warehouse Workforce Preparedness in the Wake of Industry 4.0: A Systematic Literature Review
Xie, L., Natarajarathinam, M., & Johnson, M. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--35493 · Cited by 3
Smart Logistics using Internet of Things (IoT)- Study
Alnasser, R., Alrashidi, A. Q., Al-Anazi, J. S. F., & Albalawi, M. Q. (2021) · Journal of Computational Science and Intelligent Technologies · doi:10.53409/mnaa/jcsit/2204 · Cited by 3
Open Modular Components in the Industry Using vf-OS Components
Gião, J., Sarraipa, J., & Jardim‐Gonçalves, R. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-17771-3_20 · Cited by 3
Methodology for Designing Spatial Layout of a Warehouse in the Context of Sustainable Development
Kudelska, I., Jędrzejak, K., & IGLOO, P. (2024) · Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia · doi:10.17951/h.2024.58.3.51-68 · Cited by 2
Supply Chain Quality Management 4.0 Frameworks: A Case Study in the Health Care Industry
Nguyen, K., Binh, A. D. T., McDonald, S., Cam, H. L. T., Pham, H., & Quang, H. T. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-59042-9_14 · Cited by 2
Internet of Things in Robotic Systems: Development Trends and Challenges
Shan, J. (2025) · IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA) · doi:10.1109/robothia63806.2025.10986327 · Cited by 2
“With the combination of the method in paper [22, 23], a new management of the warehouse has been appeared such that it works automatically.”
AIoT-Enhanced Outlier-Resilient SLAM for Smart Warehousing in Dynamic Environments
Li, Y., Wei, M., Nie, J., Zhao, J., Khan, M. A., Fang, K., & Gadekallu, T. R. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3584939 · Cited by 2
“Warehouses within supply chains are inherently dynamic environments, often populated with numerous mobile obstacles, thereby demanding navigation systems capable of real-time path planning [5], [6], [7].”
Sun, B., Zhang, C., Bai, Y., An, Y., Zhu, G., & Yu, H. (2025) · Computers in Industry · doi:10.1016/j.compind.2025.104366 · Cited by 2
Uluslararası Ticarette İhracat ve İşletmelerin İhracat Performansını Etkileyen Faktörler
Çelik, E., & Çatuk, C. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub270.c1095 · Cited by 2
Enabling Smarter Sorting: IoT Based Weight-Based Sorting Mechanism for Diverse Applications
Kalambe, S., Deotale, T., & Paraskar, S. (2023) · International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) · doi:10.1109/icuis60567.2023.00087 · Cited by 2
“Another study by Lee et al. [11] focused on the application of IOT in warehousing operations.”
BackgroundRawat, U., & Kumar, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-21651-0.00006-1 · Cited by 2
Smart Logistics: Leveraging RFID and IoT for Seamless Operations
Hussein, O. D., & Muhudin, A. (2024) · International Journal of Electronics and Communication Engineering · doi:10.14445/23488549/ijece-v11i11p113 · Cited by 3
IMPROVEMENT OF WAREHOUSE TECHNOLOGY IN INTERNATIONAL FREIGHT TRANSPORTATION
Kalinichenko, O., & Sevidova, V. (2024) · Municipal economy of cities · doi:10.33042/2522-1809-2024-6-187-302-307 · Cited by 2
Metadata
- Authors
- Lee, C. K. M., Lv, Y., Ng, K. K. H., Ho, W., & Choy, K. L.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Wuhan University of Technology (CN)
- The University of Melbourne (AU)
- Corresponding author
- Lv, Yaqiong
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2017-10-27
- Volume
- 56
- Issue
- 8
- Pages
- 2753-2768
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2766877481
- Cited by
- 431
- References
- 32
- Citations by year
- 2026: 21 · 2025: 47 · 2024: 48 · 2023: 88 · 2022: 62 · 2021: 69 · 2020: 59 · 2019: 29 · 2018: 8
- FWCI
- 28.78
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- International Journal of Production Research (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Funders
- Collabroative Reserach (H-ZDAR)
- Collaborative Research (H-ZDAR)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Internet of Things, warehouse management systems, smart logistics, order picking, order fulfillment, order variability, Industry 4.0, real-time analytics, computational intelligence, warehouse productivity
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