带时间窗口和无人机利用中间点的旅行推销员问题(TSPTWD-IP)

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Bo Lan , Yoshinori Suzuki
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引用次数: 0

摘要

电子商务的快速发展给 "最后一英里 "物流带来了挑战。我们的研究侧重于一种新兴的运输模式,即卡车和自动无人机合作运送包裹。我们开发了一个带有时间窗口的旅行推销员问题新模型,该模型以协调的方式联合使用卡车和无人机。该模型允许无人机不仅在客户所在地而且在弧线上的其他离散中间点上运行,并纳入了以前未考虑过的特性,如无人机不可操作区域。我们将这一问题表述为一个混合整数线性程序。我们还开发了一种元启发式方法,可以解决多达 100 个客户的问题。数值实验表明,我们的元启发式方法可以为许多实例找到良好的解决方案。与只有一辆卡车的传统送货模式相比,我们的模式可以将总送货时间缩短 26%;与现有的卡车加无人机运营模式(只允许在客户所在地发射或接收无人机)相比,我们的模式可以将总送货时间缩短 4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traveling salesman problem with time windows and a drone-utilizing intermediate points (TSPTWD-IP)
The fast growing of e-commerce has raised challenges to the last-mile logistics. Our study focuses on an emerging mode of transportation, i.e., a collaboration of a truck and an autonomous drone to deliver parcels. We develop a novel model of traveling salesman problem with time windows that jointly utilizes a truck and a drone in a coordinated manner. This model allows operating a drone not only on customers’ sites but also on other discrete intermediate points on arcs, and incorporates characteristics not considered previously, such as drone inoperable areas. We formulate this problem as a mixed integer linear program. We also develop a metaheuristic method that can solve the problems with up to 100 customers. Numerical experiments showed that our metaheuristic can find good solutions for many instances. Our model can cut the total delivery time by as much as 26% when compared to the traditional delivery model with only a single truck, and by 4% when compared to the existing model of a truck-and-drone operations that allows a drone to be launched or received at customers’ sites only.
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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