首页|考虑成对取送点的O2O订单配送路径优化

考虑成对取送点的O2O订单配送路径优化

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针对O2O订单取送货点成对出现且先取货后送货的情况,同时考虑多车型、多行程、顾客时间窗等实际配送约束,以配送总成本最小化为目标构建O2O订单配送路径优化模型.为求解该模型,提出结合邻域搜索的模拟退火算法(ISA-NS),设计独特的编码方式满足订单优先级、成对和多车型约束,采用贪心策略构造初始解,并引入 3 种邻域搜索算子扩展算法的搜索范围.求解小规模与大规模基准案例,ISA-NS算法的解接近于现存最优解,这验证了该算法的有效性及收敛性.最后,以天津"货拉拉"平台的O2O订单为例优化配送路径,验证模型和算法的可行性.
Delivery routing optimization problem for O2O orders with paired pick-up and delivery nodes
Considering that O2O orders consist of paired pickups which often occurs before delivering them,as well as constraints like multi-type vehicles,multi-trip and customer time windows,a delivery routing optimiza-tion model is constructed for O2O orders.Then,an improved simulated annealing algorithm with neighborhood search(ISA-NS)is proposed,where a unique encoding method,greedy strategy,and three NS operators are adopted.When solving small-size and large-size benchmarks,the solution of ISA-NS algorithm is close to the existing optimal solution,which verifies the effectiveness and convergence of the algorithm.Finally,the opti-mization results,taking the O2O orders of Tianjin"Huo lala"platform as an example,illustrate the applicability of the model and algorithm.This provides decision support for the O2O order delivery problem.

O2O orderdelivery routing optimizationsimulated annealing algorithmneighborhood search operator

马艳芳、赵媛媛、周晓阳、杨屹夫

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河北工业大学经济管理学院,天津 300401

西安交通大学管理学院,陕西 西安 710049

南开大学现代物流研究中心,天津 300071

O2O订单 配送路径优化 模拟退火算法 邻域搜索算子

2024

系统工程学报
中国系统工程学会

系统工程学报

CSTPCD北大核心
影响因子:1.192
ISSN:1000-5781
年,卷(期):2024.39(6)