Research on Robot Membrane Material Selection and Distribution Route Optimization on College Campuses

Abstract

An e-commerce logistics park, as a hub for e-commerce logistics, possesses the traits of high task volume and intensive package delivery. It is inefficient and dangerous to rely solely on manual work. Thus, there is some practical significance and benefit in figuring out how to implement cutting-edge delivery techniques to boost the delivery effectiveness of e-commerce logistics parks. This study combined the features of the e-commerce logistics and distribution environment, identified and eliminated the three robot types that are currently suitable for intelligent distribution, built an evaluation index system to assess the robot model selection scheme appropriate for e-commerce logistics and distribution. To assess the robot model selection strategy, we built an entropy weight-material element expansion model and computed the weighted correlation degree and proximity to various grades of the three robot kinds and five assessment grades, as well as the degree of proximity with various grades, determined the distribution robot model. Following example verification, the research presented in this paper can successfully conduct a reasonable and scientific evaluation of the distribution robot selection and can offer specific references for the more thorough decision-making process of robot selection for logistics and distribution in e-commerce parks.