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Optimization of 5G Networks for Smart Logistics

Author

Listed:
  • Emil Jatib Khatib

    (Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain)

  • Raquel Barco

    (Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain)

Abstract
Industry 4.0 is generalizing the use of wireless connectivity in manufacturing and logistics. Specifically, in Smart Logistics, novel Industry 4.0 technologies are used to enable agile supply chains, with reduced management, energy and storage costs. Cellular networks allow connectivity throughout all the scenarios where logistics processes take place, each having their own challenges. This paper explores such scenarios and challenges, and proposes 5G technology as a global unified connectivity solution. Moreover, this paper proposes a system for exploiting the application-specific optimization capabilities of 5G networks to better cater for the needs of Smart Logistics. An application traffic modeling process is proposed, along with a proactive approach to network optimization that can improve the Quality of Service and reduce connectivity costs.

Suggested Citation

  • Emil Jatib Khatib & Raquel Barco, 2021. "Optimization of 5G Networks for Smart Logistics," Energies, MDPI, vol. 14(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1758-:d:521962
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    References listed on IDEAS

    as
    1. 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.
    2. Ricardo Chalmeta & Nestor J. Santos-deLeón, 2020. "Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    3. Ferrara, Andrea & Gebennini, Elisa & Grassi, Andrea, 2014. "Fleet sizing of laser guided vehicles and pallet shuttles in automated warehouses," International Journal of Production Economics, Elsevier, vol. 157(C), pages 7-14.
    4. Oke, Adegoke & Gopalakrishnan, Mohan, 2009. "Managing disruptions in supply chains: A case study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 118(1), pages 168-174, March.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jiamuyan Xie, 2022. "Information Sharing in a Supply Chain with Asymmetric Competing Retailers," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    2. Mustafa Qahtan Alsudani & Mustafa Musa Jaber & Mohammed Hasan Ali & Sura Khalil Abd & Ahmed Alkhayyat & Z. H. Kareem & Ahmed Rashid Mohhan, 2023. "RETRACTED ARTICLE: Smart logistics with IoT-based enterprise management system using global manufacturing," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-31, March.
    3. 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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