Open AccessResearch on the Optimization Method of Regional Logistics Distribution Integration Based on Intelligent Information Processing
Author(s) -
Lin Xi He
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1584/1/012021
Subject(s) - distribution (mathematics) , upstream (networking) , scope (computer science) , integrated logistics support , computer science , downstream (manufacturing) , process (computing) , distribution center , supply chain , operations research , business , process management , engineering , marketing , computer network , programming language , operating system , mathematical analysis , mathematics
At present, the integration method of logistics distribution does not exchange regional logistics distribution information, the related logistics distribution information is not timely understood, and the integration effect of regional logistics distribution is poor, resulting in long distribution time, high distribution cost and small distribution scope. Therefore, the intelligent information processing technology is introduced to optimize the regional logistics distribution integration method. This paper established a regional logistics distribution integration mechanism which is able to process logistics distribution integration information through hierarchical authorization, transform the business data between the upstream and downstream enterprises in the supply chain of the regional logistics canter and integrate vehicle resources and human resources to optimize regional logistics distribution based on intelligent information processing. Taking the distribution time, distribution cost and distribution distance as experimental indicators, the experiment is carried out. The results show that the logistics distribution time, cost and distance of the proposed integrated optimization method are better than those of the traditional methods.