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Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance

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  • Ziwen Zhang

    (Tianjin Bohai Vocational Technical College, China)

Abstract

Logistics management is part of the supply chain management process for reliable, to meet consumer requirements. In most instances, consumers find it challenging to identify the product, as they have to start it manually due to time-consuming storage rooms.This paper has suggested the IoT-assisted human-machine interface (IoT-HCI)framework as a logistic warehouse management system. A warehouse management framework is designed to eliminate this issue and immediately release updates and inform people about the operations. The proposed methoddemonstrates the aspects and the exact methodology of the products' manufacture and distribution.This system is developed through the internet of things that can continuously enable communication between the management layers. Warehouses are the units for the transport and storing goods and items before they are shipped from the location. In most situations, there are no mixed environments in which automated systems and humans interact and the employee's implementation.

Suggested Citation

  • Ziwen Zhang, 2022. "Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(4), pages 1-17, October.
    • Handle: RePEc:igg:jisscm:v:15:y:2022:i:4:p:1-17
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.305852
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    References listed on IDEAS

    as
    1. M. Thürer & Y. H. Pan & T. Qu & H. Luo & C. D. Li & G. Q. Huang, 2019. "Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2621-2630, October.
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