Efficiency Measurement of Urban and Rural Logistics Supply Chain System Based on Fuzzy Algorithm

Abstract

At this stage, China’s logistics industry is developing rapidly and has become one of the important areas of China’s economic development. However, there are few techniques for measuring the efficiency of logistics supply chain systems. In order to be able to effectively analyze the efficiency measurement of the urban and rural logistics supply chain system and obtain higher accuracy, using a method derived from analysis of data envelopes, this essay examines the impact elements by establishing a data envelopment analysis model, using compound DEA analysis method and linear regression analysis method. The composite DEA analysis shows that all indicators in the indicator system are positively correlated, and the amount of people working in the field of distribution has the greatest impact on logistics efficiency. The annual average of pure technical efficiency is 0.932, and the annual average of scale efficiency is 0.910. In the eastern region, it is a lower-middle level. The empirical results of changes in the efficiency of the urban and rural logistics industry show that there is a significant positive correlation. This paper also builds a fuzzy algorithm optimization model and designs an overall fuzzy algorithm to solve the LRPPD problem. The simulation results show that the algorithm has good optimization performance, high computational efficiency, and strong convergence speed.