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Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface

Author

Listed:
  • Lanjing Wang

    (Henan University, China)

  • Alfred Daniel J.

    (SNS College of Technology, India)

  • Thanjai Vadivel

    (Veltech University, India)

Abstract

The automated deployment of the internet of things (IoT) and the human-machine interface provides the best advancement for dispersed warehouse scheduling management (WSM). In this paper, superior data systematic move toward warehouse scheduling management (WSM) has been suggested using the computational method to allow smart logistics. Furthermore, this paper introduces the human-machine interface framework (HMI) using IoT for collaborative warehouse order fulfillment. It consists of a layer of physical equipment, an ambient middleware network, a framework of multi-agents, and source planning. This approach is chosen to enhance the reaction capabilities of decentralized warehouse scheduling management in a dynamic environment. The simulation outcome has been performed, and the suggested method realizes a high product delivery ratio (96.5%), operational cost (94.9%), demand prediction ratio (96.5%), accuracy ratio (98.4%), and performance ratio (97.2%).

Suggested Citation

  • Lanjing Wang & Alfred Daniel J. & Thanjai Vadivel, 2022. "Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(4), pages 1-15, October.
    • Handle: RePEc:igg:jisscm:v:15:y:2022:i:4:p:1-15
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    References listed on IDEAS

    as
    1. Vellian Vatumalae & Premkumar Rajagopal & Veera Pandiyan Kaliani Sundram, 2020. "Warehouse Management System of a Third Party Logistics Provider in Malaysia," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(9), pages 1-73, September.
    2. Kaveh Azadeh & René De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.
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