Logistics Optimisation After Brexit and COVID-19

英国脱欧和 COVID-19 后的物流优化

• 批准号: EP/W014912/1
• 负责人: Jie Zhang
• 金额: $ 10.08万
• 依托单位: University of Bath
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW014912%2F1
• 关键词: Logistics; Optimisation; After; Brexit; COVID

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.

最近的两个事件严重影响了物流运营。英国退欧导致需求降低，贸易减少以及在英国和欧盟之间移动的商品较少。它还导致了强制性的边境检查，港口延误以及对驾驶员在操作方面的可用性和熟练程度的担忧。 COVID-19爆发为物流公司带来了高昂的成本和中断。由于劳动力降低或难以维持工作场所的安全性，许多企业正在努力在COVID-19限制下运营。供应链内的显着降低需求与成本和不确定性的结合将显着影响物流运输所有部门的有效性，效率，公平性和成本，并且需要集成到物流管理中。该项目将利用物流管理中专业机构（英国）的工业知识。结合数学建模和算法工程的基本研究，我们将近似物流管理的最佳路由，包装，调度，交付和其他方面。随着该领域的提高效率，我们将支持英国企业的需求，提高其竞争力，刺激新兴市场的经济增长并提高人们的生活质量。

项目成果

Bounded incentives in manipulating the probabilistic serial rule

操纵概率序列规则的有限激励

• DOI: 10.1016/j.jcss.2023.103491
• 发表时间: 2024
• 期刊: Journal of Computer and System Sciences
• 影响因子: 1.1
• 作者: Huang H

Edge-FVV: Free Viewpoint Video Streaming by Learning at the Edge

• DOI: 10.1109/icme55011.2023.00344
• 发表时间: 2023-07
• 期刊: 2023 IEEE International Conference on Multimedia and Expo (ICME)
• 作者: Hanwang Zhang;Jie Zhang;Weimiao Feng;Kaigui Bian;Hu Tuo

ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30-October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)

ECAI 2023 - 第 26 届欧洲人工智能会议，2023 年 9 月 30 日至 10 月 4 日，波兰克拉科夫 - 包括第 12 届智能系统著名应用会议 (PAIS 2023)

• DOI: 10.3233/faia230499
• 发表时间: 2023
• 作者: Salimi P