GB/T 40814-2021 English PDF (GB/T40814-2021)

GB/T 40814-2021: Intelligent manufacturing - Customization - Capability maturity model
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GB/T 40814-2021
GB
NATIONAL STANDARD OF THE
PEOPLE’S REPUBLIC OF CHINA
ICS 35.240.50
CCS L 67
Intelligent manufacturing - Customization - Capability
maturity model
ISSUED ON: OCTOBER 11, 2021
IMPLEMENTED ON: MAY 01, 2022
Issued by: State Administration for Market Regulation;
Standardization Administration of the People’s Republic of China.
Table of Contents
Foreword ... 3
1 Scope ... 4
2 Normative references ... 4
3 Terms and definitions ... 4
4 Abbreviations ... 5
5 Capability maturity model ... 6
5.1 General ... 6
5.2 Capability maturity level... 6
5.3 PA ... 7
5.4 Requirements for BP in PA ... 8
5.5 Requirements for GP in PA ... 13
Intelligent manufacturing - Customization - Capability
maturity model
1 Scope
This document specifies the capability maturity model for customization.
This document is applicable to evaluate the maturity of the manufacturing enterprise’s
customization capability.
2 Normative references
There are no normative references in this document.
3 Terms and definitions
The following terms and definitions are applicable to this document.
3.1 Customization
A production service model, where the organization reconstructs one or more links in
the product life cycle and system level based on the individual needs of customers, and
meets the individual needs of customers through large-scale production methods under
the constraints of cost, quality, delivery cycle, production efficiency, laws and
regulations, etc.
3.2 Capability maturity model
A model for measuring the capability maturity of an organization, including a series of
characteristics, attributes, indicators or patterns that represent capabilities and progress.
Note: The capability maturity model provides a reference benchmark for the
organization to measure the capability level of its current practices, processes
and methods, and sets clear improvement goals.
[Source: GB/T 37988-2019, 3.7, modified]
3.3 Process area
A set of interrelated or interacting activities that utilize inputs to achieve a desired result.
The organization has implemented customization according to the development plan,
and has invested capital. The development strategy of customization is promoting
organizational changes, and the organizational structure has been optimized;
d) Optimization level
Customization has become the core competitiveness of the organization, and the
strategic adjustment of the organization is based on the development of customization;
e) Leadership level
The organization’s customization development strategy has created higher economic
benefits for the organization, and the innovation management strategy has brought new
business opportunities to the organization and produced a new business model.
5.4.1.2 BP02 human resource management
Human resource management is a key factor in realizing customization. Empower
people to match the organization’s level of customization through the training of
personnel, the realization of skill acquisition methods, and the improvement of skill
levels.
a) Planned level
Be able to determine the human capabilities required for building a customization
environment;
b) Specification level
Be able to provide the means for personnel to acquire corresponding capabilities;
c) Integration level
Be able to conduct continuous education or training for personnel based on the
development needs for customization;
d) Optimization level
Be able to analyze the capability level of existing personnel through the information
system, so that the skill level of personnel and the development level of customization
can be improved simultaneously;
e) Leadership level
Establish an incentive mechanism to enable existing personnel to acquire the skills
required for customization in more fields and continuously improve their own
capabilities.
5.4.2 PA02 resource management
5.4.2.1 BP03 equipment management
Equipment digitization is the basis of customization; equipment management means
achieving remote online management and early warning of equipment through the
digital transformation of equipment and full life cycle management.
a) Planned level
Be able to use information technology to realize the daily management of some
equipment, and start to consider the digital transformation of equipment;
b) Specification level
Continue to carry out digital transformation of equipment, and be able to use
information technology to realize equipment status management;
c) Integration level
Be able to use the equipment management system to realize the full life cycle
management of equipment, and be able to remotely monitor key equipment in real time;
d) Optimization level
The digital transformation of equipment has been basically completed; be able to enable
experts to remotely diagnose equipment online; has established the operating model of
key equipment;
e) Leadership level
Be able to carry out predictive maintenance on equipment based on knowledge base
and big data analysis.
5.4.2.2 BP04 energy management
Energy management refers to utilizing information technology to standardize the
organization’s energy management and optimizing the use of energy and resources
through energy management factors such as energy planning, energy operation
scheduling, energy statistics, and carbon asset management, to reduce energy
consumption and improve energy efficiency of the organization.
a) Planned level
Start the informatization of energy management and realize the collection and
monitoring of some energy data;
b) Specification level
Be able to collect and count the main energy data through the information management
system;
inspection results through the integration of inspection procedures and digital
inspection equipment/systems.
d) Optimization level
Aiming at the quality problems of customers’ customized products in history, establish
a knowledge base for product quality problem disposal, predict the quality trend
according to the online inspection results of product quality, and automatically give
corrective measures for the production process based on the knowledge base.
e) Leadership level
Based on advanced information technology means such as artificial intelligence and big
data, analyze the quality problems of customers’ customized products in history, predict
quality trends, automatically repair and adjust relevant production parameters, and
ensure continuous and stable product quality.
5.4.3.2 BP06 safety and environmental protection
Safety and environmental protection means – through the establishment of an effective
management platform – informationizing the safety and environmental management
process, collecting, monitoring, analyzing and utilizing data, to establish a knowledge
base to optimize safety operations and environmental governance.
a) Planned level
Information technology has been adopted for risk, hidden danger, emergency and other
safety management and environmental protection data monitoring and statistics, etc.;
b) Specification level
Be able to realize the information management of the whole process from clean
production to terminal treatment;
c) Integration level
Assist safety management through the establishment of safety training, typical hidden
danger management, emergency management and other knowledge bases; carry out
real-time online monitoring of all environmental pollution points, integrate monitoring
data with production and equipment data, and give early warning of pollution sources
exceeding the standard;
d) Optimization level
Support multi-source information fusion, establish an emergency command center, and
carry out emergency response through the expert database; establish an environmental
protection governance model and optimize it in real time, and generate an
environmental protection optimization plan online;
e) Leadership level
Based on the knowledge base, support safe operation analysis and decision-making,
and realize integrated management of safe operation and risk control; use big data to
automatically predict the overall environmental conditions of all pollution sources, and
automatically formulate and implement treatment plans based on real-time production
equipment, pollution prevention and control equipment and other data.
5.5 Requirements for GP in PA
5.5.1 PA04 demand interaction
Sales management is to establish a platform for the interaction between supply and
demand through information technology, so that manufacturing companies can
understand customer needs in a timely and accurate manner, provide a basis for
customization, and finally realize accurate demand forecasting through big data
analysis and other technologies, to guide enterprises to realize customized production
according to different needs of users.
a) Planned level
Sales operations shall be managed through an information system.
b) Specification level
Realize the whole sales process management through the information system, and
strengthen the customer relationship management.
c) Integration level
Integrate sales and production, warehousing and other businesses, to realize the
individual needs of customers to drive production, procurement and logistics planning.
d) Optimization level
Apply the knowledge model to optimize customer demand forecasting and formulate
more accurate sales plans. Integrate all sales methods through the e-commerce platform
to realize automatic adjustment of procurement, production and logistics plans
according to the individual needs of customers. The whole life cycle management of
products shall be provided through the mobile client, to realize full traceability of
products.
e) Leadership level
Big data and machine learning technologies shall be used to analyze the sales data and
consumer behavior data of e-commerce platforms, and continuously optimize the sales
forecasting model. Apply the e-commerce platform to realize the whole process
management from personalized sales to payment collection. Intelligent customer
of the product to meet the application requirements of design, manufacturing,
inspection, operation and maintenance, sales, and service. Realize product
individualized design and collaborative design based on product design service of big
data and artificial intelligence technology.
5.5.2.2 GP03 process design
Carry out process design by means of process knowledge accumulation, excavation,
and reasoning; use advanced technology tools, to make the production process suitable
for discrete manufacturing.
a) Planned level
According to design experience, carry out computer-aided process planning and process
design, and establish the correlation between product design and process design data.
b) Specification level
Realize the simulation of key links in process design and the internal collaboration of
process design.
c) Integration level
Realize computer-aided three-dimensional process design and simulation optimization,
and realize information interaction and parallel collaboration between process design
and product design.
d) Optimization level
A process model including tooling model, tool model and equipment model shall be
established based on the product design model, and the complete process information
shall be integrated into the 3D digital model. A complete process design and
management system shall be established to realize the unified management of the
process and structure of 3D process design, with functions such as version management,
authority control, and electronic approval. Realize the process design and simulation
based on the process knowledge base, and realize the collaboration between process
design and manufacturing.
e) Leadership level
The auxiliary process innovation reasoning and online independent optimization shall
be realized based on the knowledge base. The dynamic collaboration of information
such as design, process, manufacturing, inspection, operation and maintenance shall be
realized based on big data. A design service platform shall be established relying on
advanced technologies such as big data and artificial intelligence based on the
knowledge base, to realize multi-field, multi-region, and cross-platform comprehensive
collaboration around the industrial chain, and provide instant process design services.
5.5.2.3 GP04 process optimization
Process optimization also adopts the methods of process knowledge accumulation,
excavation, and reasoning, and uses optimization platforms and other technologies to
realize the optimal matching of process routes, parameters, etc., with output, energy
consumption, materials, equipment, etc., and meet customers’ customization needs with
low consumption and high efficiency. Process optimization applies to process
manufacturing.
a) Planned level
Be equipped with a process model and parameters that meet national/industry standards.
b) Specification level
The production process shall run stably and meet requirements for site, safety,
environment, and quality.
c) Integration level
A unit-level process optimization model shall be established to provide corresponding
optimization schemes for abnormal data information on site. Based on the existing
process parameters, process optimization shall be realized by comprehensively
considering yield, quality, energy consumption, environmental protection, operating
conditions, and material balance.
d) Optimization level
A process optimization model for the whole process shall be established. A process
optimization knowledge base for the whole process shall be formed. The whole process
optimization shall be realized based on the process optimization model and knowledge
base.
e) Leadership level
Establish a complete three-dimensional digital simulation model to complete the digital
simulation of the entire production process. Based on advanced information
technologies such as big data analysis and artificial intelligenc...