Decision and Evaluation of Ordering and Transshipment Schemes Based on Multi-objective Programming

The decision-making and evaluation of raw material ordering and transportation schemes are common in the actual production process. This paper makes an in-depth study on the formulation of ordering and transportation schemes in the future. Firstly, this paper determines the four quantitative indicators of supplier compliance rate, stability, market reputation and raw material output-input ratio with mean square deviation to weight them, establishes TOPSIS comprehensive analysis and evaluation model, and obtains the list of the top five importance to the production guarantee of the enterprise. Then, the time series Arima prediction model is used to process the historical data of the supply volume of the top 50 suppliers and predict the supply volume corresponding to the next 24 weeks. The specific ordering and transshipment scheme is obtained by using the prediction value, the single objective function model of "minimum number of suppliers", double objective function model of "minimum number of suppliers + minimum cost", and the three objective function model of "minimum number of suppliers + minimum cost + minimum overall loss rate".