Traveling Salesman Problem With a Drone Station

被引:219
作者
Kim, Sungwoo [1 ]
Moon, Ilkyeong [2 ,3 ]
机构
[1] Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Coll Engn, Atlanta, GA 30332 USA
[2] Seoul Natl Univ, Dept Ind Engn, Seoul 08826, South Korea
[3] Seoul Natl Univ, Inst Ind Syst Innovat, Seoul 08826, South Korea
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2019年 / 49卷 / 01期
基金
新加坡国家研究基金会;
关键词
Drone delivery; drone station; mixed integer programming; truck-drone service; PRECEDENCE CONSTRAINTS; OPTIMIZATION; DELIVERY; SYSTEM; TIMES;
D O I
10.1109/TSMC.2018.2867496
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The importance of drone delivery services is increasing. However, the operational aspects of drone delivery services have not been studied extensively. Specifically, with respect to truck-drone systems, researchers have not given sufficient attention to drone facilities because of the limited drone flight range around a distribution center. In this paper, we propose a truck-drone system to overcome the flight-range limitation. We define a drone station as the facility where drones and charging devices are stored, usually far away from the package distribution center. The traveling salesman problem with a drone station (TSP-DS) is developed based on mixed integer programming. Fundamental features of the TSP-DS are analyzed and route distortion is defined. We show that the model can be divided into independent traveling salesman and parallel identical machine scheduling problems for which we derive two solution approaches. Computational experiments with randomly generated instances show the characteristics of the TSP-DS and suggest that our decomposition approaches effectively deal with TSP-DS complexity problems.
引用
收藏
页码:42 / 52
页数:11
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