KBE技术在铝型材挤压模具设计中的应用

将KBE技术应用于铝型材挤压模具设计中，通过充分利用多来源的领域知识对铝型材模具设计提供最大限度支持，提高工程决策有效性。本文介绍了铝型材挤压模具KBE原型系统框架及其关键技术。     

基于ASP模式的产品设计支持系统开发

分析了基于网络的现代产品设计支持系统开发的关键问题，利用ASP模式构建产品设计支持系统开发的结构框架。整个开发模式为不同层次的产品设计参与成员提供一集成人机智能与人人智能的设计支持系统，有效地提高了中小企业的产品开发能力。     

产品配置管理技术

产品配置管理PCM是PDM的一项重要功能，是PDM中的核心模块之一。本文介绍了产品配置管理的基本功能、技术研究现状及发展趋势，分析了当前PDM软件中PCM存在的缺点和不足。基于SmarTeam开发出产品配置系统，能很好地满足广大用户对产品配置管理的需求。     

服装制造企业计算机排料系统满意度评价研究

在分析现有服装裁片排料系统常见问题及其对产品满意度影响的基础上，根据服装裁片排料系统及其使用对象的特点，研究了此类系统的满意度评价指标和评价方法。通过建立服装裁片排料系统的满意度模型，对不同排料方法和系统的满意度进行了评价，为相关系统的开发提供了依据。     

RNMS环境下基于ASP的产品开发服务系统

在区域性网络化制造系统(RNMS)环境支持下，结合中小企业产品开发资源相对缺乏的现状，提出了一种服务于产品开发的模式-RNMS环境下基于ASP的产品开发服务。建立了该种模式下的产品开发服务系统，提出了系统的运行模式，并对该系统功能组成，及基于J2EE的四层体系结构进行了论述。最后分析了该系统的特点。     

Adaptive Modelling and Simulation of Product Development Processes

A tool for modelling and simulation of product development processes has to be able to map the specific stochastic behaviour of these processes. Taking this into consideration, the paper presents an approach to adaptive modelling and simulation using Petri nets. New to this approach is that the process model is generated dynamically at simulation run time. Based on the effective premises and boundary conditions, generic processes are selected, parameterised, and integrated as an instance into the model. Thereby, the model is adapted to its present state at simulation run time. This enhances the quality of the simulation results.     

An integrated neuro-genetic approach incorporating the Taguchi method for product design

Product design is a multidisciplinary activity that requires the integration of concurrent engineering approaches into a design process that secures competitive advantages in product quality. In concurrent engineering, the Taguchi method has demonstrated an efficient design approach for product quality improvement. However, the Taguchi method intuitively uses parameters and levels in measuring the optimum combination of design parameter values, which might not guarantee that the final solution is the most optimal. This work proposes an integrated procedure that involves neural network training and genetic algorithm simulation within the Taguchi quality design process to aid in searching for the optimum solution with more precise design parameter values for improving the product development. The concept of fractals in computer graphics is also considered in the generation of product form alternatives to demonstrate its application in product design. The stages in the general approach of the proposed procedures include: (1) use of the Taguchi experimental design procedure, (2) analysis of the neural network and genetic algorithm process, and (3) generation of design alternatives. An electric fan design is used as an example to describe the development and explore the applicability of the proposed procedures. The results indicate that the proposed procedures could enhance the efficiency of product design efforts by approximately 7.8%. It is also expected that the proposed design procedure will provide designers with a more effective approach to product development.