Research on Ordering and Transshipment Scheme Based on Linear Programming Model

Procurement is a common problem in the field of economy and finance. In practice, an enterprise’s procurement strategy will directly affect its production activities, and even affect its subsequent income and development. Therefore, enterprises should formulate reasonable ordering plans and transportation plans in advance to meet future production activities, which are closely related to suppliers and forwarders. In order to make the results more reasonable, accurate and reliable, we set the evaluation index, use the entropy weight method to determine the corresponding weight, and use TOPSIS model to establish the evaluation system. After ranking the suppliers with this evaluation model, the suppliers with unqualified order rate will be eliminated, and the final scores will be sorted in ascending order, that is, the lower the score, the better, and the most important 50 suppliers will be obtained. How many suppliers can the enterprise choose to supply at least to meet the production demand, and formulate the most economical weekly ordering scheme and the least loss transshipment scheme 24 weeks in advance. Using the 0-1 programming in linear programming, using meeting the weekly demand and the actual situation as constraints, and taking the minimum number of suppliers as the objective function to establish the minimum number of suppliers model, the final minimum number of suppliers is 47. The actual situation is used as the constraint condition, and the “most economical” is used as the objective function to solve the optimal ordering scheme. Similarly, the transportation scheme with less loss is solved by satisfying the production and selecting only one forwarder as the constraint condition, and taking “least loss” as the objective function.