GB/T 42137-2022 English PDF

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GB/T 42137-2022: Guidelines for intelligent manufacturing capability construction for discrete industry
Status: Valid

Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 42137-2022	199	Add to Cart	3 days	Guidelines for intelligent manufacturing capability construction for discrete industry	Valid

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Basic data

Standard ID: GB/T 42137-2022 (GB/T42137-2022)
Description (Translated English): Guidelines for intelligent manufacturing capability construction for discrete industry
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L70
Classification of International Standard: 35.240.50
Word Count Estimation: 10,190
Date of Issue: 2022-12-30
Date of Implementation: 2023-07-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 42137-2022: Guidelines for intelligent manufacturing capability construction for discrete industry

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 35.240.50 CCSL70 National Standards of People's Republic of China Discrete Intelligent Manufacturing Capability Building Guide discrete industry Posted on 2022-12-30 2023-07-01 implementation State Administration for Market Regulation Released by the National Standardization Management Committee

table of contents

Preface I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Abbreviations 1 5 Overall method of intelligent manufacturing capacity building 2 6 Life cycle dimension intelligent manufacturing capacity building 2 6.1 Life cycle data collection capability 2 6.2 Lifecycle Interconnection Capabilities 2 6.3 Life cycle data visualization capability 3 6.4 Life cycle data analysis capability 3 6.5 Life cycle optimization decision-making ability 3 7 System-level dimensions of intelligent manufacturing capacity building 4 7.1 System-level data collection capabilities 4 7.2 System-level interconnection and intercommunication capabilities 4 7.3 System-level data visualization capability 4 7.4 System-level data analysis capabilities 4 7.5 System level optimization decision-making ability 5 Reference 6

foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules for Standardization Documents" drafting. Please note that some contents of this document may refer to patents. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed and managed by the Ministry of Industry and Information Technology of the People's Republic of China. This document is drafted by. China Institute of Electronic Technology Standardization, Shenzhen Saixi Information Technology Co., Ltd., Jiangsu Saixi Technology Development Co., Ltd. Co., Ltd., Tianjin University, Beijing Machinery Industry Automation Research Institute Co., Ltd., Beijing University of Science and Technology, Kaos Industrial Intelligence Research Institute (Qingdao) Co., Ltd., Beijing Hollysys Intelligent Technology Co., Ltd., Tsinghua University, Intelligent Manufacturing Institute of Heilongjiang Academy of Sciences, Shenzhen Huazhi Intelligent Manufacturing Manufacturing Technology Co., Ltd., Yunnan Kunming Ship Design and Research Institute Co., Ltd., Shanghai Intelligent Manufacturing Functional Platform Co., Ltd., Chongqing University of Posts and Telecommunications, Beijing Jingyi Intelligent Manufacturing Technology Innovation Center Co., Ltd., Qingdao Kute Intelligent Co., Ltd., Tianjin Aibo Rui Technology Development Co., Ltd., United Think (Beijing) Co., Ltd., China Textile Machinery Association, Baowu Equipment Intelligent Technology Co., Ltd., MCC Jingcheng Engineering Technology Co., Ltd., Qingdao Baojia Intelligent Equipment Co., Ltd., Jianwei Software Technology (Shanghai) Co., Ltd., Harbin Institute of Technology Robot (Shandong) Intelligent Equipment Research Institute, Communication Express (China) Co., Ltd., Hebei University of Technology, Shenzhen Lianyou Technology Co., Ltd., Dongfeng Design and Research Institute Co., Ltd., SINOMACH Intelligent Technology Research Institute Research Institute Co., Ltd., Shenzhen Hualong Xunda Information Technology Co., Ltd., Jiangsu Yawei Machine Tool Co., Ltd., Jinhang Digital Technology Co., Ltd. Responsible company, Mitsubishi Electric Automation (China) Co., Ltd., Xiamen Intreme Technology Co., Ltd., Xiamen Youxin Information Technology Co., Ltd., Shanghai Aerospace Equipment Manufacturing General Factory Co., Ltd., Sichuan Chengweld Bauma Welding Equipment Engineering Co., Ltd., Delta Intelligent Technology (Beijing) Co., Ltd. Division, Chongqing Mengxun Electronic Technology Co., Ltd., CSSC Ninth Design and Research Institute Engineering Co., Ltd. The main drafters of this document. Li Jia, Zhou Hang, He Honghong, Wei Sha, Cheng Yuhang, Guo Nan, Zhang Hui, Ma Yuanye, Jiao Guotao, Li Ruiqi, Liu Anan, Sun Jiexiang, Xiao Chengyong, Zhu Yiming, Xie Hongbing, Lin Feng, Su Hang, Gong Wei, Liu Bin, Shen Chao, Ji Zhanfeng, Wei Min, Cui Wenya, Li Haibin, Liao Shaohua, Tao Hongzhi, He Zhiyong, Lang Junqi, Ye He, Wang Hongtao, Wang Yunbo, Ren Lei, Chen Junyu, Wang Wei, He Shuya, Han Sida, Hu Lihua, Chen Xi, Liu Jing, Wang Leda, Zhao Yu, Chen Peng, Jiang Feng, Liu Shu, Li Xingbao, Liu Yi, Zhu Chao, Gao Shanqing, Chen Jiancheng, Zhong Zhenzhe, Cheng Hui, Zhu Pinchao, Zhao Dongfang, Chen Jing, Yu Lingyun, Ding Weijie. Discrete Intelligent Manufacturing Capability Building Guide

1 Scope

This document provides guidance for the construction of discrete intelligent manufacturing capabilities, and gives the overall method, as well as dimensions such as life cycle and system level. Suggestions for smart manufacturing capacity building. This document is applicable to discrete manufacturing enterprises, as well as providing intelligent manufacturing capacity building consulting, training and implementation services for discrete manufacturing enterprises. service personnel and institutions.

2 Normative references

The contents of the following documents constitute the essential provisions of this document through normative references in the text. Among them, dated references For documents, only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to this document. GB/T 39116-2020 Intelligent Manufacturing Capability Maturity Model GB/T 39117-2020 Smart Manufacturing Capability Maturity Assessment Method

3 Terms and Definitions

The following terms and definitions apply to this document. 3.1 In order to achieve the goal of intelligent manufacturing, the enterprise manages and comprehensively applies the degree and improvement process of personnel, technology, resources, and manufacturing. Note. The improvement process is mainly reflected in data collection, interconnection, visualization, data analysis, decision optimization, etc. in the life cycle dimension and system level dimension aspect. [Source. GB/T 39116-2020, 3.1.1, with modifications] 3.2 The process of producing a product (such as an automobile, appliance, appliance, computer, etc.) or part that consists of discrete components. [Source. GB/T 18725-2008, 3.87, modified] 3.3 lifecycle lifecycle All stages from product prototype development to product recycling and remanufacturing. [Source. GB/T 40647-2021, 3.2] 3.4 system level systemhierarchy The hierarchical division of the organizational structure related to enterprise production. Note. It mainly includes equipment, unit, workshop, enterprise, collaboration and other levels. Process manufacturing enterprises are usually not subdivided into the equipment level.

4 Abbreviations

The following abbreviations apply to this document. ......

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