面向时空动态因素的复杂装备产品族适应性设计与评价方法

项目名称： 面向时空动态因素的复杂装备产品族适应性设计与评价方法

项目编号： No.51475459

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 机械、仪表工业

项目作者： 李中凯

作者单位： 中国矿业大学

项目金额： 80万元

中文摘要： 产品族设计和基于平台的产品开发已成为大规模定制领域的研究热点，然而需求随时间动态变化和生命周期多设计属性，对产品族方案的作用机理尚未明确。将需求随时间的变化定义为时间动态因素；将生命周期多设计属性的关联定义为空间动态因素。本项目研究面向时空动态因素的产品族适应性设计与评价方法。采用数据挖掘和关联分析方法，研究时空动态因素对产品族设计的耦合影响机理，建立产品族时空动态因素表达模型；研究产品族模块化-参数化体系结构中多类型变量和可行设计域的控制方法，开发低复杂度鲁棒性算法实现产品族智能优化；研究产品族适应性的定量评价指标、数据获取方法和多属性决策方法，采用可视化方式实现产品族方案综合评价；将设计理论与方法应用于煤矿综采装备产品，并开发产品族适应性设计原型系统软件。项目研究结果对实现产品族适应性设计具有重要理论意义和实际价值，能为解决产品族的资源效率设计提供理论与方法基础。

中文关键词： 产品平台；产品族；适应性设计；动态因素建模；智能优化

英文摘要： Product family design and platform-based product development have been a research hotspot in the field of Mass Customization. But the acting mechanisms of requirements changing with time and multiple design features in life cycle to the product family scheme are still not clear. By defining the requirements changing with time as time dynamic factors, and the linking among multiple design features in life cycle as space dynamic factors, this project aims to study the product family adaptive design and evaluation methods based on time and space dynamic factors. With the data mining and relevance analysis methods, the coupling mechanism of time and space dynamic factors acting on the product family design will be researched, so as to set up the product family representation model based on the time and space dynamic factors. The control methods for the multiple types of variables and feasible design regions in the module-scale-based product family architecture will be researched, and robust algorithms with low computational complexity will be developed to achieve the intelligent optimization for product family. The quantitative evaluation indexes, data acquisition methods, and multi-attribute decision methods will be proposed to achieve the visual assessment for product family schemes. The design methods will be illustrated in typical series coal mining machineries, and the prototype software system for product family adaptive design will be developed. The results of the project have important theoretical significance and practical values for product family adaptive design, and will lay a foundation for theories and methods regarding large-scale product family design for resource efficiency.

英文关键词： product platform;product family;adaptive design;dynamic factors modelling;intelligent optimization