Order Allocation for Service Supply Chain Base on the Customer Best Delivery Time Under the Background of Big Data

School of science, Shenyang University of Technology, Shenyang 110870, China E-mail: [email protected] We mainly studied order allocation of logistics service supply chain under the background of big data. According to the characteristic of prediction of big data, designed the two-phase solution of “prediction of big data stage” and “model optimization stage” in logistics service supply chain . The first stage through analysis the massive amounts of customer’s location data and clicks to predict the best delivery time and the number of customer’s demand. The second stage is a three-echelon order allocation model with the objective of the logistics service cost is established. And select the suppliers to offer service which the customer was satisfied with base on the analysis of big data and the customer’s requirements. The result shows that the prediction result of big data is more accurate and better provide decision-making basis for next stage in order allocation. So it can minimize the costs while the customer satisfaction was guaranteed.