Order processing method and device

Abstract

The invention provides an order processing method and device. The method comprises the steps of obtaining a plurality of orders to be processed; according to the plurality of attribute features of the order, constructing an order scoring tree conforming to a genetic programming algorithm, wherein the order scoring tree comprises a logic operation relation among the plurality of attribute features; determining an order score of the order according to a logical operation relationship among multiple attribute features in the order score tree; determining an order sequence of the plurality of orders in combination with the order scores of the orders; based on order sorting and configured material configuration information and evaluation index information, performing simulation operation of material matching and index scoring on the plurality of orders to obtain a comprehensive index score of the plurality of orders; and by taking the optimal comprehensive index score as a target, optimizing the logical operation relationship in the order score tree by adopting a genetic programming algorithm until the comprehensive index score is optimal, and obtaining a target order sequence under the condition of the optimal comprehensive index score. According to the scheme, the optimal order sequence can be accurately and reliably determined.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to an order processing method and device. Background technique [0002] With the rapid development of social economy, many manufacturing enterprises will have a large number of orders that need to be processed at the same time. Since the material supply of an enterprise is usually relatively limited, the enterprise needs to prioritize orders to determine which orders can use materials first. [0003] Due to the mutual competition of material resources between multiple orders, when the priorities of multiple orders are different, the allocation method of materials to orders will also change. The distribution method of materials to orders will also affect key indicators such as the overall output corresponding to multiple orders, delivery completion rate, and profit. However, in the case of a large number of orders, there will be many combinations of order prio...

AI Technical Summary

Problems solved by technology

However, in the case of a large number of orders, there will be many combinations of order priority sorting, and it is difficult to find out the order priority sorting that makes the key indicators better through traversal. Therefore, how to determine the order that can optimize the overall The order prioritization of key indicators is an urgent technical problem to be solved by those skilled in the art

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