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基于产品族的核心模块演进分析与评价方法
引用本文:吴永明,侯亮,祝青园,赖荣燊,钱尧一,林森泉. 基于产品族的核心模块演进分析与评价方法[J]. 农业机械学报, 2014, 45(4): 294-303
作者姓名:吴永明  侯亮  祝青园  赖荣燊  钱尧一  林森泉
作者单位:厦门大学;厦门大学;厦门大学;厦门大学;厦门大学;厦门大学
基金项目:国家自然科学基金资助项目(71172055)和科技部创新方法工作专项资助项目(2011IM020400)
摘    要:针对产品族设计中核心模块演进问题,研究了产品族核心模块演进规律与演进过程评价,提出了一种模块演进规律分析与评价方法。该方法研究了客户需求与产品核心模块设计之间的关系,并在现有产品核心模块基础上,进一步对模块部件的标准化、继承性等指标进行了分析;在需求分析过程中,建立了一种基于贝叶斯网络的核心模块演进分析模型,利用历史数据对该模型进行了训练,将客户需求作为证据对该模型进行推理,进而得出核心模块在设计与工艺方面的改变规律;在演进规律分析基础上,对现有核心模块部件设计参数、标准部件重用度进行了分析,获得了核心模块演进过程综合评价值。最后,用小型轮式装载机后车架模块的演进过程验证了该方法的可行性和正确性。

关 键 词:大规模定制  核心模块  贝叶斯网络  演进评价
收稿时间:2013-05-09

Analysis and Evaluation for Core Module Based on Product Family
Wu Yongming,Hou Liang,Zhu Qingyuan,Lai Rongshen,Qian Yaoyi and Lin Senquan. Analysis and Evaluation for Core Module Based on Product Family[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(4): 294-303
Authors:Wu Yongming  Hou Liang  Zhu Qingyuan  Lai Rongshen  Qian Yaoyi  Lin Senquan
Affiliation:Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University
Abstract:Aiming at the evolution problem of core module in product family design, the module evolution law and process evaluation were analyzed. A method for law analysis and evaluation in the module evolution was proposed. The relationship between customer demand and module design was also studied. The core module standardization and universal indicators based on existing products were analyzed. An analytical model for core module evolution was established in the process of needs analysis, and the model was trained by the history data. The changing law of design and craft was obtained by demand evidence reasoning in core module. Based on the evolution law analysis, the design parameter and reuse degree were also analyzed for core parts. Comprehensive evaluation value for core module evolution was gained. Finally, the effectiveness and feasibility of the method was tested by core module design of small wheel loaders.
Keywords:Mass customization Core module Bayesian networks Evolution evaluation
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