Author(s)

Xin Wang ¹, Zhuofan Feng ¹, Guanglin Ying ¹

Affiliation(s)

¹ School of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China

Corresponding Author

Xin Wang

ABSTRACT

In order to facilitate managers to arrange transportation and sorting plans in advance, so as to improve operating costs and operating efficiency The logistics site and route are optimized by establishing the emergency dispatching and structure optimization model of e-commerce logistics network parcel. A refined forecasting model based on ARIMA-EBP neural network is constructed to forecast the daily cargo volume of each line from 2023-01-01 to 2023-01-31 A mixed-integer linear programming (MILP) model is established and a co-evolutionary non-dominated sequencing genetic algorithm (CCNSGA-II) is designed to achieve multi-objective optimization with the objective of minimizing the workload and balancing all packets as well as possible.

KEYWORDS

ARIMA-EBPII neural network, MILP, CCNSGA-II, Multi-objective optimization, Logistics site and route

CITE THIS PAPER

Xin Wang, Zhuofan Feng, Guanglin Ying, Emergency Parcel Dispatching and Structure Optimization of E-Commerce Logistics Network Based on CCNSGA-II. Manufacturing and Service Operations Management (2023) Vol. 4: 50-56. DOI: http://dx.doi.org/10.23977/msom.2023.040308.

REFERENCES

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[3] Lan Xuemei, Zhu Jian, Huang Chengming, et al. MATLAB realization of BP network [J]. Microcomputer Application, 2003, 19 (1): 6-8.
[4] Guan Bo and Wang Lijie. Construction of reverse logistics network of third-party return and exchange in C2C e-commerce based on MILP model [J]. Business Economics Research, 2020 (09): 115-118.
[5] Chen Zhiwei and Wang Hongpeng. Research on the construction of seaport-dry port network in Fujian Province based on NSGA-ⅱ algorithm [J]. China Navigation, 2023, 46 (01): 114-119 +126.
[6] Liu Chao, Qi Rongbin, Qian Feng. A new hybrid particle swarm optimization algorithm combining crossover mutation and chaos [J]. Acta Chemical Engineering Sinica, 2010, 61 (11): 2861-2867. 

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