MULTIMODAL INTEGRATION MODEL FOR REDUCING NATIONAL LOGISTICS COSTS

Abstract

One way to minimize national logistics costs is to develop multimodal transportation. The steps for multimodal development are forming a linear model for each transportation mode, the simultaneous formation of a linear model, and forecasting and simulation of the minimum transportation costs. Area partition based on distance can be used as a solution for selecting transportation modes in multimodal with a certain distance. It can be useful in reducing transportation costs that only rely on unimodal, namely trucks. The estimation of reducing logistics costs is by forecasting goods that will pass through transportation modes in 2025 and making the simulation. Train or truck is used for short distances such as moving goods from factories or warehouses to transhipment points and from transhipment points to consumers or retailers. Trains, freighters and planes are used as the main routes as needed. The simulation results show that national logistics costs reduce by 17% when using the lowest-cost transportation mode in the area division.