Research on the Optimization of Fresh Agricultural Products Trade Distribution Path Based on Genetic Algorithm

Jun Sun, Tianhang Jiang, Yufei Song (), Hao Guo and Yushi Zhang ()
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Jun Sun: School of Management, Dalian Polytechnic University, Dalian 116034, China
Tianhang Jiang: School of Management, Dalian Polytechnic University, Dalian 116034, China
Yufei Song: School of Management, Dalian Polytechnic University, Dalian 116034, China
Hao Guo: School of Management, Dalian Polytechnic University, Dalian 116034, China
Yushi Zhang: School of Marxism, Liaoning Normal University, Dalian 116029, China

Agriculture, 2022, vol. 12, issue 10, 1-25

Abstract: This study, taking the R fresh agricultural products distribution center (R-FAPDC) as an example, constructs a multi-objective optimization model of a logistics distribution path with time window constraints, and uses a genetic algorithm to optimize the optimal trade distribution path of fresh agricultural products. By combining the genetic algorithm with the actual case to explore, this study aims to solve enterprises’ narrow distribution paths and promote the model’s application in similar enterprises with similar characteristics. The results reveal that: (1) The trade distribution path scheme optimized by the genetic algorithm can reduce the distribution cost of distribution centers and improve customer satisfaction. (2) The genetic algorithm can bring economic benefits and reduce transportation losses in trade for trade distribution centers with the same spatial and quality characteristics as R fresh agricultural products distribution centers. According to our study, fresh agricultural products distribution enterprises should emphasize the use of genetic algorithms in planning distribution paths, develop a highly adaptable planning system of trade distribution routes, strengthen organizational and operational management, and establish a standard system for high-quality logistics services to improve distribution efficiency and customer satisfaction.

Keywords: fresh agricultural products; time window; path optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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