A Intelligent Logistics Inventory Distribution Model Based on Pipeline Network and Ant Colony Algorithm

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Abstract

With the popularization and application of emerging Internet technologies such as big data and cloud computing, the traditional B2B and B2C warehousing logistics management modes have not achieved synergy between various distribution stations and suppliers, achieving "one-to-one" means a distribution station is supplied by a manufacturer, and a customer is also supplied by a distribution station. The traditional logistics industry model can no longer meet the individual needs of customers. At present, the logistics industry has a series of problems such as slow delivery, slow turnover, high cost and poor service. Based on the theoretical basis of pipeline network and smart logistics, this paper proposes a pipeline network model of intelligent logistics, and improves the ant colony algorithm to improve transportation efficiency, which provides a guarantee for the efficient operation of the intelligent logistics platform.

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APA

Li, J., Tang, Y., & Jiang, J. (2018). A Intelligent Logistics Inventory Distribution Model Based on Pipeline Network and Ant Colony Algorithm. In E3S Web of Conferences (Vol. 53). EDP Sciences. https://doi.org/10.1051/e3sconf/20185303046

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