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

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  • C.K.M. Lee
  • Yaqiong Lv
  • K.K.H. Ng
  • William Ho
  • K.L. Choy

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.

Suggested Citation

  • C.K.M. Lee & Yaqiong Lv & K.K.H. Ng & William Ho & K.L. Choy, 2018. "Design and application of Internet of things-based warehouse management system for smart logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2753-2768, April.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:8:p:2753-2768
    DOI: 10.1080/00207543.2017.1394592
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    Cited by:

    1. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    2. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    3. Carman K.M. Lee & Shuzhu Zhang & Kam K.H. Ng, 2019. "In-Plant Logistics Simulation Model for the Catering Service Industry Towards Sustainable Development: A Case Study," Sustainability, MDPI, vol. 11(13), pages 1-11, July.
    4. Weihua Liu & Shangsong Long & Yanjie Liang & Jinkun Wang & Shuang Wei, 2023. "The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation," Annals of Operations Research, Springer, vol. 324(1), pages 893-935, May.
    5. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    6. Zhong, Shuya & Giannikas, Vaggelis & Merino, Jorge & McFarlane, Duncan & Cheng, Jun & Shao, Wei, 2022. "Evaluating the benefits of picking and packing planning integration in e-commerce warehouses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 67-81.
    7. Jieyin Lyu & Fuli Zhou & Yandong He, 2023. "Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement," Sustainability, MDPI, vol. 15(22), pages 1-28, November.
    8. Pawlicka Kinga & Bal Monika, 2022. "Sustainable Supply Chain Finances implementation model and Artificial Intelligence for innovative omnichannel logistics," Management, Sciendo, vol. 26(1), pages 19-35, January.
    9. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2023. "Industry 4.0 Technologies in Flexible Manufacturing for Sustainable Organizational Value: Reflections from a Multiple Case Study of Italian Manufacturers," Information Systems Frontiers, Springer, vol. 25(3), pages 995-1016, June.
    10. Yavas, Volkan & Ozkan-Ozen, Yesim Deniz, 2020. "Logistics centers in the new industrial era: A proposed framework for logistics center 4.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    11. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    12. Emil Jatib Khatib & Raquel Barco, 2021. "Optimization of 5G Networks for Smart Logistics," Energies, MDPI, vol. 14(6), pages 1-19, March.
    13. Belhadi, Amine & Kamble, Sachin & Benkhati, Imane & Gupta, Shivam & Mangla, Sachin Kumar, 2023. "Does strategic management of digital technologies influence electronic word-of-mouth (eWOM) and customer loyalty? Empirical insights from B2B platform economy," Journal of Business Research, Elsevier, vol. 156(C).
    14. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    15. Liu, Weihua & Zhang, Jiahui & Shi, Yangyan & Lee, Paul Tae-Woo & Liang, Yanjie, 2022. "Intelligent logistics transformation problems in efficient commodity distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    16. Xu, Yuqiu & Wang, Jia & Cao, Kaiying, 2023. "Logistics mode strategy of firms selling fresh products on e-commerce platforms with private brand introduction," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    17. de Souza, Michele & Pereira, Giancarlo Medeiros & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose & Trento, Luiz Reni & Borchardt, Miriam & Zvirtes, Leandro, 2021. "A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Khalid Aljohani, 2023. "Optimizing the Distribution Network of a Bakery Facility: A Reduced Travelled Distance and Food-Waste Minimization Perspective," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    19. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    20. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    21. Mahroof, Kamran, 2019. "A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse," International Journal of Information Management, Elsevier, vol. 45(C), pages 176-190.
    22. Tahereh Mohammadi & Seyed Mojtaba Sajadi & Seyed Esmaeil Najafi & Mohammadreza Taghizadeh-Yazdi, 2024. "Multi Objective and Multi-Product Perishable Supply Chain with Vendor-Managed Inventory and IoT-Related Technologies," Mathematics, MDPI, vol. 12(5), pages 1-30, February.
    23. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2021. "Industry 4.0 Technologies in Flexible Manufacturing for Sustainable Organizational Value: Reflections from a Multiple Case Study of Italian Manufacturers," Post-Print hal-03442440, HAL.
    24. Farajpour, Farnoush & Hassanzadeh, Alireza & Elahi, Shaban & Ghazanfari, Mehdi, 2022. "Digital supply chain blueprint via a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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