In the current complex economic situation, production enterprises are facing manyuncertainties. Reasonable planning of the ordering and transportation of raw materials to ensure the stable operation of the production supply chain is the key to the sustainable development of enterprises. In this paper, a TOPSIS model based on entropy weight and a raw material ordering and transportation model for production enterprises based on multi-objective programming are proposed to provide reference for raw material ordering and transportation selection of production enterprises. In this model, the supply characteristics of suppliers are quantitatively analyzed, and on the basis of the demand of production enterprises, the supplier is determined based on the principle of minimum number of suppliers. Then, the future transshipment loss rate of the transporter is predicted based on the time series, and then the corresponding transporter and transshipment scheme are determined with the lowest loss rate as the target. The research on the model of suppliers and transporter has a good guiding significance for the ordering and transportation of raw materials in manufacturing enterprises.