Vehicle Routing Problem with Multi Depot, Heterogeneous Fleet, and Multi Period: A Real Case Study

被引：0

作者：

Karadeniz, Baris ^{[1
]}

Erdogan, Mehmet Serdar ^{[1
]}

Kazancoglu, Yigit ^{[1
]}

机构：

[1] Yasar Univ, Int Logist Management, Izmir, Turkey

来源：

DIGITIZING PRODUCTION SYSTEMS, ISPR2021 | 2022年

关键词：

Vehicle routing problem; Optimization; Mixed-integer linear programming; Multi depot; Heterogeneous fleet; ALGORITHM;

D O I：

10.1007/978-3-030-90421-0_70

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we designed a vehicle routing problem model for chocolate manufacturer company to optimize their distribution system. Our model includes 3 warehouses, heterogenous fleet, multi period, and about two dozen customers. We got our customer data directly from company. We considered distance between the customers, their demands and vehicle capacities. Sensitivity analysis was made to make sure that it is effective. In the model that we designed, we compared 10-15-20 customer cases with 3 depot, 1 depot, heterogeneous and homogeneous fleet scenarios. According to results of the study homogeneous fleet scenarios are costly. In addition, using single depot is costly than using multiple depots.

引用

页码：826 / 836

页数：11

共 24 条

[11]

Maleki F, 2019, HYBRID ALGORITHM OPE, V9, P355

[12] A real-life Multi Depot Multi Period Vehicle Routing Problem with a Heterogeneous Fleet: Formulation and Adaptive Large Neighborhood Search based Matheuristic [J].