Iron and steel enterprise automobile sampling and batching method based on multi-objective optimization

Abstract

The embodiment of the invention discloses an iron and steel enterprise automobile sampling and grouping method based on multi-objective optimization. The method comprises steps of obtaining the arrival information of each arriving transport vehicle for all to-be-grouped transport vehicles, and periodically executing the grouping operation according to a preset grouping period; the grouping operation comprises the following steps, if a group batch corresponding to a to-be-grouped order number exists in a group batch set, sequentially adding vehicles meeting a preset condition into the corresponding group batch, and if the total transportation mass of the vehicle set is greater than or equal to the target group batch mass, grouping according to multi-target optimization, and if there are vehicles whose waiting time is greater than the maximum group batch waiting time, forming a batch by all vehicles in the vehicle set and adding the batch into a group batch set until all order numbers are processed; comprehensive grouping is carried out according to the multi-objective optimization and the maximum grouping waiting time length, so double optimization of grouping quality and grouping vehicle average waiting time can be realized, inspection and test cost is saved, and waiting cost is also considered.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for sampling and grouping automobiles in iron and steel enterprises based on multi-objective optimization. Background technique [0002] Iron and steel production requires a variety of raw materials, such as iron ore powder, ferroalloy, fuel and various auxiliary materials, etc. The quality of these raw materials is not only an important basis for formulating smelting production process parameters, but also determines the settlement price of materials. When iron and steel enterprises purchase raw materials and fuels, they will conduct batch sampling of logistics vehicles entering the factory, and there are strict regulations on the sampling process. The purpose of batching is to obtain a sample that is reasonably representative of the overall quality. In production, iron and steel enterprises often obtain a certain kilogram of samples according to the b...

AI Technical Summary

Problems solved by technology

At present, domestic iron and steel enterprises generally rely on dispatchers to organize batches based on their experience in the batch scheduling of vehicles purchased from abroad. There are unscientific batch organizations that lead to high testing costs and irregular operations such as "human batches", which affect the use of enterprises. material cost

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