An automatic scheduling optimization method for mine production under unsaturated orders

Abstract

The invention provides an automatic scheduling optimization method for mine production under unsaturated orders, relating to the field of scheduling technologies of mine enterprise production lines. According to the automatic scheduling optimization method provided by the invention, in the process of making production plans of the mine enterprises, the production cost, equipment maintenance and order data in an ERP can be automatically read when the order task in the constraint condition changes, mainly in the case that the commodity output of the mine changes, the production scheduling can be automatically optimized aiming at the production scheduling optimization target and the constraint condition of the mine enterprises, and thus the artificial data acquisition and manual scheduling required for the production scheduling can be avoided, the scheduling cycle can be shortened, the labor cost can be reduced, an optimized scheduling scheme can be provided, and the production cost of the enterprises can be reduced.

Description

Technical field [0001] The invention relates to the technical field of production line scheduling in mining enterprises, and in particular to an automatic scheduling optimization method for mine production under unsaturated orders. Background technique [0002] In recent years, my country’s iron ore demand has gradually reached a saturation point under the influence of China’s economic transformation and the decline in growth. Coupled with the blow of foreign iron ore giants, the price of iron ore has fallen sharply, and most companies are not profitable. Even in the case of large-scale losses, it is obvious that in the case of insufficient orders, how to optimize production and reduce costs has become the primary consideration for mining enterprises. [0003] Mine production includes mining, beneficiation, sintering, pelletizing and other production processes. It is a complex production that combines discrete and continuous processes. There are many factors that affect production a...

AI Technical Summary

Problems solved by technology

[0004] (1) There are many factors affecting production scheduling, and manual scheduling based on past experience can only be a feasible solution

[0005] (2) The information collection data required for production scheduling is large, and multiple business departments and multiple production units are required to cooperate in the collection. The production scheduling cycle is long and the production efficiency is low.

[0006] (3) When the order changes frequently, the traditional manual scheduling will make it difficult to realize the production plan

Images