A modified genetic algorithm for product family optimization with platform specified by information theoretical approach

Many existing product family design methods assume a given platform, However, it is not an in-tuitive task to select the platform and unique variable within a product family. Meanwhile, most approachesare single-platform methods, in which design variables are either shared across all product variants or not atall. While in multiple-platform design, platform variables can have special value with regard to a subset ofproduct variants within the product family, and offer opportunities for superior overall design. An informationtheoretical approach incorporating fuzzy clustering and Shannon's entropy was proposed for platform variablesselection in multiple-platform product family. A 2-level chromosome genetic algorithm (2LCGA) was proposedand developed for optimizing the corresponding product family in a single stage, simultaneously determiningthe optimal settings for the product platform and unique variables. The single-stage approach can yield im-provements in the overall performance of the product family compared with two-stage approaches, in which thefirst stage involves determining the best settings for the platform and values of unique variables are found foreach product in the second stage. An example of design of a family of universal motors was used to verify theproposed method.     

Customer requirements mapping method based on association rule mining for mass customization

Customer requirements analysis is the key step for product variety design of mass customiza-tion(MC). Quality function deployment (QFD) is a widely used management technique for understanding thevoice of the customer (VOC), however, QFD depends heavily on human subject judgment during extractingcustomer requirements and determination of the importance weights of customer requirements. QFD pro-cess and related problems are so complicated that it is not easily used. In this paper, based on a generaldata structure of product family, generic bill of material (CBOM), association rules analysis was introducedto construct the classification mechanism between customer requirements and product architecture. The newmethod can map customer requirements to the items of product family architecture respectively, accomplishthe mapping process from customer domain to physical domain directly, and decrease mutual process betweencustomer and designer, improve the product design quality, and thus furthest satisfy customer needs. Finally,an example of customer requirements mapping of the elevator cabin was used to illustrate the proposed method.     

批量生产条件下机加工工艺的编制与优化

通过对批量生产条件下的机加工工艺、生产管理和质量管理的关系的描述,指出编制加工工艺应该从设计功能、设计要求出发,从提高生产效率和质量水平入手,进行合理编制.并重点介绍了与工艺相关的单元生产、需求预测、FMEA分析等基础知识,提出用持续改进的思想来不断优化加工工艺,以适应企业产品需求、生产管理、质量要求的不断变化.     

单元制造模式下生产计划方法的探讨

分析了汽车零部件生产计划随市场的波动,利用线性规划法,构造了面向制造单元的生产计划模型,计算得出优化的生产计划,以此来指导生产。     

基于汽车研发的试验道路布置分析

整车道路试验是汽车在研发过程中验证设计的重要环节。文章以汽车研发的要求为核心,对整车道路试验工作中涉及的有关试验道路布置问题进行了分析,并就其效率问题作初步探讨。