Solution for realizing multiple organizations and multiple views of BOM data through NoSQL database

Abstract

The invention discloses a solution for realizing multiple organizations and multiple views of BOM data through an NoSQL database. The multiple organizations refer to a netty relationship composed of multiple business organizations and leader-member relations in a large enterprise, wherein the business organizations are such as design, process, production, sale, purchase and the like, and the leader-member relations are such as a group and branches and the like. The multiple views refer to BOM trees corresponding to the same product, and contents or values defined, maintained and viewed by different business organizations are different. For a common man-hour quota, a value maintained by a process department of the group is different from a value maintained by the A branch or the B branch. Therefore, for any same attribute of nodes in the BOM trees, multiple values can be stored in NoSQL data and are distinguished by TAGs. During view definition, attribute values can be defined through one or more TAGs. Through the view definition, different BOM structures, node attributes and attribute values are displayed for the different business organizations.

Description

technical field [0001] The present invention relates to a BOM system for the discrete manufacturing industry. Background technique [0002] For large-scale discrete manufacturing enterprises, there are usually the following typical business requirements: first, multi-organizational structure, that is, BOM data needs to be combined with enterprise organization, for example, for the same product, there are differences between production in factory A and factory B; other Second, multi-view, for the same BOM data, different business departments, groups / companies / workshops, etc. have different concerns, so it is an effective way to provide group views and company views; third, heterogeneous data, usually production includes multiple The data structure of different companies' data is different; Fourth, massive data. [0003] In order to meet the above business needs, many solutions using relational data have been proposed, but there are many limitations: 1) The table structure is...

AI Technical Summary

Problems solved by technology

[0003] In order to meet the above business needs, many solutions using relational data have been proposed, but there are many limitations: 1) The table structure is complex, difficult to understand, and the development workload is heavy

2) When storing a large amount of data, the processing efficiency is low and the user experience is low; for example, it takes a considerable amount of time to retrieve a complete BOM tree

3) Limited by the relational database, the flexibility of the data format is poor

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