Abstract

Info

Title:: Big data analysis on the issue of dispatch in advance in the retail 4.0 era

Author(s):: MA Lina; WAN Meiyu; DU Yushen; School of Business ，Jilin University，Changchun 130012，Jilin，China

Keywords:: retail 4.0 era; omnichannel retail; big data; supplychain; dispatch in advance; Genetic Algorithm; Association Rule Mining

Abstract:: In the retail 4.0 era, the diversification of retail sales channels not only enriches the data source, but also can generate huge amounts of data. As the big data needs to be analyzed to provide meaningful information for decision making, this paper proposes an optimized model based on the Genetic Algorithm (GA) through analyzing the importance of dispatch in advance. The model predicts when customers will make the purchase, and dispatches the products to the nearest distribution center to the customer before they make the order online, in order to solve the issues in dispatch in advance. The research finds that cloud computing should be deployed in advance to store the big data generated through all retail sales channels, then the Association Rule Mining based on clusters should be applied to study the purchase behaviors of the customers, and their future purchases will be predicted according to the if-then prediction rule, and finally the revised Genetic Algorithm is used to produce the optimized plan for dispatch in advance. This type of Genetic Algorithm takes the credibility of the prediction rule into account, in addition to the transportation cost and transportation distance, and utilizes a large number of numerical experiments to measure and weigh various factors in dispatch in advance, thus verifying the reliability of the optimized model.