欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
在产品族模块化设计的基础上,应用模糊数学评价理论与最小二乘法,构建了以产品性能、成本及出货期为目标函数的配置优化数学模型,并采用基于改进的非支配排序遗传算法对三者进行并行优化。由此获得一系列基于Pareto最优集的配置方案来满足不同客户对产品性能、成本及出货期的要求,解决了客户需求侧重点对产品设计结果的适应性处理。最后,结合项目实施,给出该方法在机床制造业中的典型应用实例,验证了文中提出方法的有效性和适应性。
英文摘要：
Method based on the fuzzy evaluation theories and the least squares approximation was advanced to construct configuration optimization mathematical model.Objective functions of the model were performance,cost and term based on modular architecture of product family.Consequently,an improved Non-dominated Sorting Genetic Algorithm（NSGA-Ⅱ） method was employed to optimize the performance-cost-term multi-objective optimization model of configuration in parallel.As a result,a series of configuration schemes were generated in the form of Pareto optimal set to satisfy individualized customers＇ demands on the performance,cost and term of product.Finally,an instance related to the project which was applied in the machine industry was given to prove the method＇s feasibility and validity.
同期刊论文项目
同项目期刊论文
位置：