Logistics Optimisation After Brexit and COVID-19

Project: Research council

Project Details

Description

Two recent events have significantly affected logistics operations. Brexit has resulted in depressed demand, reduced trade, and fewer goods moving between the U.K. and E.U. It has also led to mandatory border checks, delays at ports, and concerns over drivers' availability and proficiency in operating. The COVID-19 outbreak has generated high costs and disruptions for logistics companies. Many businesses are struggling to operate under COVID-19 restrictions due to a reduced workforce or difficulty maintaining safety in the workplace. The combination of significantly depressed demand and increased cost and uncertainty within supply chains will significantly impact the effectiveness, efficiency, fairness, and costs of all sectors of logistics transportation, and need to be integrated into logistics management.

This project will leverage the industrial knowledge of the professional body, CILT(U.K.), in logistics management. Combined with fundamental research in mathematical modelling and algorithmic engineering, we will approximate the optimal routing, packing, scheduling, delivery, and other aspects of logistics management. With better efficiency in this sector, we will support the needs of U.K. businesses, boost their competitiveness, stimulate economic growth in emerging markets, and improve people's quality of life.
StatusFinished
Effective start/end date1/02/231/07/24

Funding

  • Engineering and Physical Sciences Research Council

RCUK Research Areas

  • Mathematical sciences
  • Mathematical Aspects of Operational Research

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  • Bounded incentives in manipulating the probabilistic serial rule

    Huang, H., Wang, Z., Wei, Z. & Zhang, J., 31 Mar 2024, In: Journal of Computer and System Sciences. 140, 15 p., 103491.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    1 Citation (SciVal)
    24 Downloads (Pure)
  • A Bilevel Formalism for the Peer-Reviewing Problem

    Auricchio, G., Zhang, R., Zhang, J. & Cai, X., 28 Sept 2023, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). IOS Press BV, p. 133-140 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

    Research output: Chapter or section in a book/report/conference proceedingBook chapter

    Open Access
    1 Citation (SciVal)
  • Edge-FVV: Free Viewpoint Video Streaming by Learning at the Edge

    Zhang, H., Zhang, J., Feng, W., Bian, K. & Tuo, H., 14 Jul 2023, Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. U. S. A.: IEEE, p. 2009-2014 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2023-July).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
    File
    1 Citation (SciVal)
    218 Downloads (Pure)