Research on Raw Material Ordering and Transportation Strategy Based on Integer Programming

Abstract

This paper studies the raw material ordering and transportation strategy based on the principle of integer programming. Based on the production data of a certain enterprise, the original attachment data is firstly analyzed, 6 indicators are selected and the weight coefficient of each indicator is determined by the TOPSIS entropy weight method. Then, a 0-1 integer programming model for solving the minimum number of suppliers is established, and the most economical ordering scheme model is established with the least comprehensive cost as the objective function. Finally, taking the minimum transshipment loss as the goal and the transporter's carrying capacity as the constraint condition, the transshipment plan is solved by the greedy algorithm. After analyzing the ordering plan and the transshipment plan, the ordering plan can meet the weekly production demand, and the average weekly inventory is 59540 cubic meters, the mean square error is 222.67 cubic meters; the average loss of the transshipment scheme is 8.33%, and the ratio of suppliers with two or more transshipments to the total suppliers is 3.85%.