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Guidelines for Planning and Implementation of Intelligent Manufacturing Systems Based on the CMMM Model

Release time: 2025-04-23 15:59:23

Publisher: Sterui

Introduction

With the release and promotion of the *Intelligent Manufacturing Capability Maturity Model* (CMMM, GB/T 39116-2020), this standard has become the core framework for enterprises to evaluate and enhance their intelligent manufacturing capabilities. Starting from the four capability domains of "people, technology, resources, and manufacturing", CMMM provides enterprises with a progressive path from the "planning level" to the "leading level" through the detailed requirements of 16 sub-domains. Combining the standard requirements and industry practices, this article will elaborate on how to plan and implement intelligent manufacturing systems based on CMMM.

一、The Core Value and Significance of CMMM

As a smart manufacturing evaluation system with Chinese characteristics, the CMMM (Intelligent Manufacturing Capability Maturity Model) is reshaping the digital transformation paradigm of manufacturing enterprises by establishing a standardized and systematic evaluation framework. The CMMM is not only an evaluation tool but also the "operating system" for the intelligent transformation of China's manufacturing industry. Through standardized capability building, dynamic resource optimization, and ecological collaborative innovation, it drives enterprises to shift from "experience-driven" to "data-driven", providing a replicable implementation paradigm for new-type industrialization. Its value has been verified in the practices of over 3,000 enterprises, making it a core support system for the implementation of the national smart manufacturing strategy.

二、Intelligent Manufacturing System Planning Process under the CMMM Framework

CMMM emphasizes the comprehensiveness and dynamic iterativeness of system planning, with its core process divided into six major steps, covering the entire life cycle from goal setting to continuous optimization:

1. Set system goals: clarify "why" and "what to do"
? Key task: Sort out product types, production capacity requirements, process technology maturity, and current capability level, define core indicators such as production cycle, qualification rate, input-output ratio, etc.
? CMMM association: It is necessary to benchmark the sub domain of "organizational strategy" to ensure that the goals are consistent with the direction of intelligent manufacturing strategy.

2. Clarify system constraints: balance resources and requirements
? Core elements: Site restrictions, energy consumption requirements, safety and environmental regulations, etc. need to be included in the production outline design to form specific plans for production capacity, shifts, site allocation, etc.
? Practical case: Quzhou Jidian Base integrated resource constraints through CMMM model in the early stage of construction, achieving the dual goals of green, low-carbon and efficient production.

3. Develop a typical process route: optimize production logic
? Methodology: Classify products through process similarity analysis, optimize existing routes, and form standardized processes.
? Technical support: Based on the requirements of the CMMM "Process Design" subdomain, introduce digital twin technology to verify the feasibility of the process.

4. Equipment selection and process simulation: Building an intelligent hardware foundation
Selection principle:
? Level 2 requirement: Key equipment must have standard communication interfaces (such as OPC UA, MODBUS) that support data acquisition and networking.
? Level 3 requirement: The equipment must support human-machine interaction (HMI) and a 3D model library to provide a foundation for digital twins.
? Level 4 requirement: Predictive maintenance, remote monitoring function, achieving "situation based maintenance" and fault warning.
Case reference: In the Quzhou Jidian project, Wide Area Mingdao achieved a cell production line efficiency of 24PPM (24 pieces per minute) and quality monitoring coverage of 5000 points through equipment networking and process simulation.

5. Layout planning and simulation: achieving optimal resource allocation
? Implementation points: Based on the process plan, calculate the number of equipment, design logistics paths and production organization modes, and verify the rationality of the layout through simulation.
? CMMM requirement: Production operations and equipment management capabilities at or above the "integration level" (Level 3) must be met.

6. System operation control design: from "automation" to "intelligence"
? Intelligent control core: Establish production scheduling rules, quality monitoring parameters, equipment status thresholds, and use management simulation technology to verify process efficiency.
? Advanced capabilities: Enterprises at or above level four need to build a knowledge base to achieve data-driven decision-making assistance (such as automatic parameter tuning for quality anomalies).

三、Key Success Factors for CMMM Implementation

1. Iterative optimization in stages
CMMM emphasizes the circular mechanism of "planning implementation evaluation improvement".
For example, SAIC Motor Passenger Cars has upgraded from the "integrated level" to the "optimized level" through multiple rounds of benchmarking against the four level standards, achieving a comprehensive leap in production, quality, logistics and other aspects.

2. Empowering domestic technology
Industrial operating system: The Geega platform of Wide Area Mingdao combines domestically produced "industrial OS+software" to support Quzhou Jidian to achieve full process interconnection and avoid the risk of imported technology bottlenecks.
Data driven decision-making: By collecting data from over 5000 quality control points, a quality root cause analysis model is constructed to reduce quality loss costs by 13%.

3. Collaborative ecosystem across the entire chain
CMMM level four and above enterprises need to connect the upstream and downstream data flow of the industrial chain.
For example, based on the experience of chain owners, Wide Area Mingdao covers more than 20 industries such as energy, automobiles, and batteries, promoting the "chain" digital transformation.

四、The role of CMMM in the implementation process

CMMM provides clear guidance and evaluation criteria in the implementation process of intelligent manufacturing systems.
For example, in terms of device operation management, CMMM requires devices to have real-time data collection, comprehensive equipment efficiency (OEE) statistical analysis, predictive maintenance, and other functions.
In terms of production planning and operation control, CMMM has put forward specific requirements for planning, scheduling integration, and intelligent level. These requirements not only help companies clarify their implementation direction, but also guide them to continuously optimize and improve through evaluation results.

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Guidelines for Planning and Implementation of Intelligent Manufacturing Systems Based on the CMMM Model

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