The solution to realize the multi-organization and multi-view of BOM data through nosql database

Abstract

A solution to realize multi-organization and multi-view of BOM data through NoSQL database. Multi-organization refers to the network relationship formed by multiple business organizations and superior-subordinate relationships in a large enterprise. Multi-view refers to the BOM tree corresponding to the same product. Different business organizations define, maintain, and view different content or values. For example, the common man-hour quota, the value maintained in the process department of the group is different from the value maintained by A branch factory or B branch factory. Therefore, for any same attribute of a node in the BOM tree, multiple values ​​can be stored in NoSQL data, and these values ​​are distinguished by TAG. When defining a view, define the value of the attribute through one TAG or multiple TAGs. Through the view definition, different BOM structures, node attributes and attribute values ​​are displayed for 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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