Configuration automobile accessory scheduling method based on rule engine

Abstract

The invention discloses a configuration automobile accessory scheduling method based on a rule engine, belongs to the technical field of Internet, and configures a shipping warehouse list decision strategy for a service scene; different decision factors and priorities are configured for service scenes, and an optimal warehouse decision in a shipable warehouse list is realized. The optimal warehouse can be screened out from the warehouse list to serve as the optimal delivery warehouse of the order, routing configuration can be performed on the selectable warehouse list, comprehensive configuration can be realized based on different service scenes such as complex and changeable order channels and order labels of middle and large scale companies, and an operational scheduling strategy can be flexibly supported. The logistics cost is saved, the delivery timeliness is improved, the diversified requirements of the service level can be considered, the cost pressure of development and operation is saved, setting of decision factors is continually tried by the system, and finally the decision factor capable of enabling the delivery cost to be minimum is found out.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a configurable auto parts scheduling method based on a rule engine. Background technique [0002] In the e-commerce system, in order to achieve the best delivery timeliness and customer experience and lower logistics costs, suppliers usually set up multiple central warehouses across the country, set up front warehouses in core cities, and set up regional warehouses and stores in districts and counties warehouse. After the user places an order online, which warehouse is the most reasonable to deliver the goods from? When the nearest warehouse cannot satisfy the user's order, whether to split the order into multiple packages or deliver the goods from a distant warehouse that can meet the order, the scheduling is A system that solves the above problems. However, the existing dispatching method is not only complex, but also cannot meet the requirements of real-time...

AI Technical Summary

Problems solved by technology

However, the existing dispatching method is not only complex, but also cannot meet the requirements of real-time performance. For medium and large-scale companies with complex and changeable order channels, they cannot meet the requirements of low logistics cost and high real-time performance.

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