Complex equipment manufacturing BOM intelligent decomposition method based on semantic calculation

A semantic computing and complex technology, applied in computing, manufacturing computing systems, computer components, etc., can solve problems such as manufacturing BOM identification and decomposition, which are rarely involved in research

Pending Publication Date: 2021-01-26
XIAN UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From the existing research literature on BOM decomposition, the main research content focuses on the transformation of design BOM to manufacturing BOM, but there are few studies on the further identification and decomposition of manufacturing BOM.

Method used

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  • Complex equipment manufacturing BOM intelligent decomposition method based on semantic calculation
  • Complex equipment manufacturing BOM intelligent decomposition method based on semantic calculation
  • Complex equipment manufacturing BOM intelligent decomposition method based on semantic calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0108] Manufacturing BOM dataset:

[0109] In this experiment, the declassified BOM data of a large manufacturing enterprise in Shaanxi was used as the experimental data set. The data included 63 pieces of various manufacturing BOMs, and a total of 4372 workpieces; 2734 of these workpieces were standard parts, accounting for 62%, 57 662 self-made parts, accounting for 15%, 72 kinds, 329 must-made parts, 333 non-mandatory self-made parts; 1014 outsourced parts, accounting for 23%, 88 kinds, 487 must outsourced parts, 527 outsourcing items are required.

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Abstract

The invention discloses a BERT-TextCNN-based complex equipment manufacturing BOM intelligent decomposition method, which comprises the following steps of: firstly, performing text preprocessing on a manufacturing BOM through three steps of category labeling, semantic expansion and stop word removal; secondly, performing vectorization description on the preprocessed BOM text statement through an embedding marking method, an MLM mechanism and an NSP mechanism; and finally, performing feature extraction and classification on the vectorized BOM text statements by utilizing a BERTTextCNN, and realizing intelligent decomposition of the complex equipment manufacturing BOM according to four types of necessary self-made parts, necessary outsourcing parts, non-necessary self-made parts and non-necessary outsourcing parts. The method has the characteristics of low cost and high efficiency.

Description

technical field [0001] The invention belongs to the technical field of equipment manufacturing, and in particular relates to an intelligent BOM decomposition method for complex equipment manufacturing based on semantic calculation. Background technique [0002] With the increasingly fierce competition in the equipment manufacturing industry, customized production has become the main direction of future development. However, complex equipment contains a wide variety of parts, complex manufacturing processes, and cumbersome assembly processes, which will bring great challenges to the production and operation management of equipment manufacturing enterprises. At present, most manufacturing companies will store the number of parts required for the product from design to manufacture, manufacturing process, and assembly process in the BOM (Bill of Material, BOM) list. As a specific form of product structure, BOM runs through the entire life cycle of a product from process, procur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/04G06F16/35G06K9/62G06N3/04
CPCG06Q50/04G06F16/35G06N3/045G06F18/24G06F18/214Y02P90/30
Inventor 王闯张楠吕奕岳桐旭
Owner XIAN UNIV OF POSTS & TELECOMM
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