Abstract
Decreasing the complexity is the effective way to improve the reliability of manufacturing systems. However, the research on the reliability oriented complexity analysis for manufacturing system is rare. A reliable manufacturing system is a prerequisite to ensure the well-designed products be manufactured faultlessly. In this context, this paper proposes an axiomatic complexity analysis model of manufacturing system based on the fuzzy axiomatic domain mapping. Firstly, in terms of the uncertainty of domain mapping information, the fuzzy evaluation matrix for complexity which integrated the weights of experts is constructed based on triangular fuzzy numbers. Secondly, considering the influence of the design parameters (DPs) on the functional requirements (FRs), a quantitative computation approach to manufacturing system complexity is achieved by means of fuzzy evaluation matrix. Finally, a case study is presented to illustrate the validity of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 130-135 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 53 |
| DOIs | |
| State | Published - 2016 |
| Event | 10th International Conference on Axiomatic Design, ICAD 2016 - Xi'an, China Duration: 21 Sep 2016 → 23 Sep 2016 |
Keywords
- Axiomatic design
- complexity modeling
- fuzzy theory
- manufacturing system
- relability analysis
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