Logistics distribution scheduling model of supply chain based on genetic algorithm

ABSTRACT

This study aims to improve the efficiency of logistics distribution scheduling in the supply chain and reduce logistics costs. In the current research, the time and cost problems of logistics distribution always have some limitations to meet the needs of practical applications; therefore, this paper designed genetic algorithm-based method to solve the vehicle scheduling problem. The analysis of arithmetic examples was carried out. The analysis found that the method effectively reduced the cost of distribution and had higher computing speed, showing a high performance in solving the problem of logistics distribution scheduling. The method can further optimize the logistics distribution of the supply chain. This work provides a new approach for the study of logistics distribution scheduling model and is conducive to the better application of genetic algorithm in this field.

KEYWORDS:

• Genetic algorithm
• scheduling model
• logistics distribution
• supply chain

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Yuan Zhang

Yuan Zhang has a bachelor's degree. She is working in Shandong University of Finance and economics , Jinan, China. She is interested in  E-commerce and supply chain management，research on the  facility location problem and Vehicle routing problem in supply chain, machine learning and optimization algorithm are also her interested fields.