Using the AHP method to research the cargo stowage of vehicles

Abstract

Cargo stowage is a nonlinear and complicated problem of multi-objective programming. How to load different batch numbers and varieties and different submitted locations and sizes of goods into a vehicle and deliver it to the user in a timely manner is a process that needs to be balanced; it is an optimization model with constraints. Considering the differences between types of goods are sizeable and unclear, it is reasonable to use an AHP to solve cargo stowage problems. In accordance with the requirements of vehicle loading characteristics, a corresponding hierarchy model is set up, the judgment matrix is constructed, the hierarchical order is sorted, the judgment matrix is validated through consistency checks, and finally the weight of each object in the hierarchy is obtained. Multiplying the weight by the corresponding score, the vehicle's total score is obtained. Comparing the total score of the alternative vehicles, the vehicle with the largest score is the loading vehicle, so the purpose of stowing the cargo is achieved.