Cited by 431Advanced Manufacturing and Logistics OptimizationDigital Transformation in IndustryImpact of AI and Big Data on Business and Society

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Design and application of Internet of things-based warehouse management system for smart logistics

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Lee, C.K.M., Lv, Yaqiong, Ng, K.K.H., Ho, William, Choy, K.L.·2018·International Journal of Production Research

DOI 10.1080/00207543.2017.1394592

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Abstract

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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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
ORCID: Lee, C.K.M.
Lv, Yaqiong
Ho, William
Choy, K.L.
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
DOI: 10.1080/00207543.2017.1394592
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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Design and application of Internet of things-based warehouse management system for smart logistics

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