DFM(Design for Manufacturability),可制造性设计,从零件的概念设计就要考虑可制造性,现在越来越得到汽车设计界的认可。零件的装配专家系统数据库是汽车可装配性性设计中的一个的重要的组成部分,装配专家系统数据库不仅包括了一些基...DFM(Design for Manufacturability),可制造性设计,从零件的概念设计就要考虑可制造性,现在越来越得到汽车设计界的认可。零件的装配专家系统数据库是汽车可装配性性设计中的一个的重要的组成部分,装配专家系统数据库不仅包括了一些基本的装配的要求和装配的标准,同时还总结了以前的装配过程中的失败和成功的经验教训,已经采取了什么样的行动计划来避免重犯过去的错误,从而防止了严重的延误和资源的浪费。展开更多
The failure modes and effects analysis （FMEA） is widely applied in manufacturing industries in various phases of the product life cycle to evaluate the system, its design and processes for failures that can occur. T...The failure modes and effects analysis （FMEA） is widely applied in manufacturing industries in various phases of the product life cycle to evaluate the system, its design and processes for failures that can occur. The FMEA team often demonstrates different opinions and these different types of opinions are very difficult to incorporate into the FMEA by the traditional risk priority number model. In this paper, for each of the Occurrence, Severity and Detectivity parameters a fuzzy set is defined and the opinion of each FMEA team members is considered. These opinions are considered simultaneously with weights that are given to each individual based on their skills and experience levels. In addition, the opinion of the costumer is considered for each of the FMEA parameters. Then, the Risk Priority Numbers （RPN） is calculated using a Multi Input Single Output （MISO） fuzzy expert system. The proposed model is applied for prioritizing the failures of Peugeot 206 Engine assembly line in IKCo （Iran Khodro Company）.展开更多
文摘DFM(Design for Manufacturability),可制造性设计,从零件的概念设计就要考虑可制造性,现在越来越得到汽车设计界的认可。零件的装配专家系统数据库是汽车可装配性性设计中的一个的重要的组成部分,装配专家系统数据库不仅包括了一些基本的装配的要求和装配的标准,同时还总结了以前的装配过程中的失败和成功的经验教训,已经采取了什么样的行动计划来避免重犯过去的错误,从而防止了严重的延误和资源的浪费。
文摘The failure modes and effects analysis （FMEA） is widely applied in manufacturing industries in various phases of the product life cycle to evaluate the system, its design and processes for failures that can occur. The FMEA team often demonstrates different opinions and these different types of opinions are very difficult to incorporate into the FMEA by the traditional risk priority number model. In this paper, for each of the Occurrence, Severity and Detectivity parameters a fuzzy set is defined and the opinion of each FMEA team members is considered. These opinions are considered simultaneously with weights that are given to each individual based on their skills and experience levels. In addition, the opinion of the costumer is considered for each of the FMEA parameters. Then, the Risk Priority Numbers （RPN） is calculated using a Multi Input Single Output （MISO） fuzzy expert system. The proposed model is applied for prioritizing the failures of Peugeot 206 Engine assembly line in IKCo （Iran Khodro Company）.
