Crowdsourcing Takeout Distribution Route Optimization Considering Pickup and Delivery

被引：0
|
作者：
Li, Xueyan [1 ]
Li, Yisong [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100080, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
Crowdsourcing takeout; pickup and delivery; route optimization; A-RIDE PROBLEM; BRANCH; CUT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses the combinatorial optimization problem of order allocation and distribution route optimization on crowdsourcing takeout 020 platform. The problem of takeout 020 platform is how to match crowdsourcing workers in different locations with takeout orders and optimize the distribution route to achieve the lowest cost on the premise of fulfilling all current orders. This paper solves the problem by minimizing the total cost which contains distribution cost and time cost considering the locations of crowdsourcing workers, the distribution process of pickup and delivery, time constraint and so on. The model is solved by MATLAB and the results are analyzed to provide support for decision-making to reduce the distribution cost of takeout 020 platform.
引用
收藏
页码：1208 / 1213
页数：6
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