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首页> 外文期刊>Journal of Manufacturing Systems >Quality Prediction in Manufacturing System Design
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Quality Prediction in Manufacturing System Design

机译：制造系统设计中的质量预测

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Expected product quality is affected by manufacturing system design decisions. Product quality prediction would allow a manufacturer to make better choices of system parameters at the early design stage and, hence, enhance competitiveness through achieving higher quality levels. A Configuration Capability Indicator (CCI) that maps the manufacturing system configuration parameters into an expected product quality level has been developed. A hierarchical fuzzy inference system was developed for modeling the relationship between manufacturing system design parameters and the resulting product quality level. A configuration capability zone is proposed to graphically represent the configuration capability, for a system configuration that produces more than one product, and compare it to the benchmark six-sigma capability. The developed model has been applied to two case studies (Test Parts ANC-90 and ANC-101, and Rack Bar Machining) with different system configurations for illustration and verification. The results demonstrate the ability of the CCI to compare different system configurations from a quality point of view and to support the decision-making during the early stages of manufacturing system planning and design.
机译：预期产品质量受制造系统设计决策的影响。产品质量预测将使制造商可以在设计的早期阶段更好地选择系统参数，从而通过达到更高的质量水平来增强竞争力。已经开发了将制造系统配置参数映射到预期产品质量水平的配置能力指示器（CCI）。开发了一种层次模糊推理系统，用于对制造系统设计参数与最终产品质量水平之间的关系进行建模。对于生产多个产品的系统配置，建议使用配置功能区以图形方式表示配置功能，然后将其与基准六西格玛功能进行比较。所开发的模型已应用于具有不同系统配置的两个案例研究（测试零件ANC-90和ANC-101和机架棒加工），以进行说明和验证。结果表明，CCI能够从质量角度比较不同的系统配置，并在制造系统规划和设计的早期阶段支持决策。

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