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Routing and scheduling of intelligent autonomous vehicles in industrial logistics systems

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Abstract

Nowadays, industries have to deal with an increasingly competitive environment. In this sense, the operational process optimization to increase efficiency is crucial. The industrial systems are presently leaning toward every potential means of automation for improved accuracy and superior time management. There are significant challenges in industrial logistics management: streamline operations, customer service, transportation cost, planning, and risk management. Hence in this paper, the IoT-assisted Intelligent Logistics Transportation Management Framework has been proposed in the industrial environment to design an optimized logistics plan, improve customer service, and reduce transportation cost. This paper concentrates on identifying the optimal routes for the directed autonomous vehicle, considering different vehicles’ necessities, renewable generations, logistic requests, and the essential transportation system. The experimental results have been performed, and the proposed method enhances the overall performance ratio of 97.8% and customer satisfaction ratio of 98.9% and reduces the cost function ratio of 15.2%, energy consumption ratio of 11.4%, and computation time of 0.19 s compared to other existing methods.

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Acknowledgements

This work was supported by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant No. (DF-198-980-1441). The authors, therefore, gratefully acknowledge DSR technical and financial support.

Author information

Authors and Affiliations

  1. Department of Port and Maritime Transportation, Faculty of Maritime Studies, King Abdulaziz University, Jeddah, 21588, Saudi Arabia

    Shougi Suliman Abosuliman

  2. Department of Information Systems, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Jeddah, 21589, Saudi Arabia

    Alaa Omran Almagrabi

Authors
  1. Shougi Suliman Abosuliman

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  2. Alaa Omran Almagrabi

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Correspondence toAlaa Omran Almagrabi.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

Additional information

Communicated by Vicente Garcia Diaz.

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