Optimization of Truck Load Matching Based on Grey Clustering

According to the increasing requirements of goods transportation and distribution service in modern logistics, a system of key evaluation indicators is established for the optimization of truck load matching in distribution center, with taking the eight indicators of the system as the goals of the optimization. Aiming at the some lacks of a few common methods, an optimal selection model of truck load matching scenario is put forward based on the grey definite weighted clustering model of grey clustering method, with the multi-goals being simplified as the single-goal. To simplify the calculated amount of the model and to make the model more practical, the model is calculated and solved by means of Matlab software. Finally the model is validated effective with a case. The research result indicates that grey clustering method can solve this kind of multi-parameter and multi-object programming problem very well, and also the model this paper introduces can be applied to solve the similar multi-goals decision problem.