Finding method and system of associated invoice

Abstract

The invention provides a finding method and a system of associated invoice. The finding method of the associated invoice comprises the following steps: finding a second invoice type associated with a first invoice type according to the first invoice type, to which a first invoice belongs, and a pre-established mapping relationship between associated invoice types; and finding a second invoice matched with a designated field value as the associated invoice of the first invoice according to the designated field value of the first invoice. The embodiment of the invention can directly acquire the associated invoice by pre-establishing the mapping relationship between the associated invoice types, and then utilizing the mapping relationship and the designated field, including trans-stage associated invoice, without finding stage by stage, thus simplifying the operation process of finding the associated invoice, and improving finding efficiency.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a search method and system for associated documents. Background technique [0002] In the enterprise resource planning system, the document is the smallest unit that actually reflects the original source of information and the actual business operation of the enterprise in the system. The interrelationships between documents reflect the links between various parts and operating units of the enterprise. For example, the production material input sheet issued by the production department will record information such as production type and material input number, while the product storage form of the warehousing department will record relevant information such as the type and quantity of the incoming items. [0003] Documents are generally stored in the database and belong to different document types. The document types can be divided according to different departments of th...

AI Technical Summary

Problems solved by technology

However, since each document type only lists the relevant information of the upper-level document type, when performing cross-level query related documents, it can only be searched level by level. The operation process is cumbersome and the efficiency is low. For document B001, if you want to query the information of related document D001, you must first search document type C01 and then document type D01 to get document D001. If you still want to get the information of document A001, you need to search again to get it

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