GB/T 39589-2020 in English
VALIDSpecifications for evaluation of modular design for parts of mechanical products
- Issued on:2020-12-14
- Implemented on:2021-07-01
- File Format:PDF
- Delivery:Via email within 5 business days
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《GB/T 39589-2020机械产品零部件模块化设计评价规范》由TC159（全国自动化系统与集成标准化技术委员会）归口，TC159SC4（全国自动化系统与集成标准化技术委员会工业数据分会）执行，主管部门为中国机械工业联合会。
Introduction
Interpretation of the core content of the standard
This standard establishes a three-dimensional evaluation system for the modular design of mechanical products:
| Evaluation dimensions | First-level indicators | Key parameters |
|---|---|---|
| Degree of modularity | Module independence | Functional structure correlation (0-1) |
| Module versatility | 4 calculation methods | |
| Economic benefits | Response time | Reduction rate of design/manufacturing/service time |
| Quality improvement | Reduction rate of design/manufacturing problems | |
| Cost reduction | Life cycle cost reduction rate | |
| Environmental friendliness | Resource efficiency | Changes in three waste emissions/energy consumption/recovery rate |
Detailed explanation of key technical indicators
1. Modularity evaluation
Module independence index calculation formula:
mdl = 1 - mgl (mgl is the functional structure correlation between modules, with a value of 0-1)
Take the soymilk machine as an example (6 modules):
- The calculated correlation mgl=0.367
- Independence mdl=0.633
2. Economic benefit evaluation
The comprehensive economic benefit improvement rate adopts the weighted calculation method:
φ=α₁×δ+α₂×q+α₃×ξ+α₄×η
Among them, the soymilk machine case shows:
- Structural design time is shortened by 66%
- Quality problems are reduced by 27%
- User satisfaction is improved by 38%
Implementation Suggestions
Enterprise Application Path
- Module division phase: Prioritize decoupling of highly correlated components
- Platform construction phase: Establish a basic/general module library
- Evaluation implementation phase: Regularly calculate mzh indicators
Note: It is recommended to establish a company-specific evaluation model in combination with the soybean milk machine case in Appendix D.
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