面向大规模定制汽车产品配置器的关键技术研究

在阐述了面向大规模定制的产品配置技术理论的基础上,制定了一种产品配置的设计方案;以汽车产品为实例,详细介绍了汽车产品配置规则,建立了汽车产品配置的流程;针对汽车产品构建了一种基于PDM的产品配置器,为汽车产品实现面向大规模定制的配置奠定了基础.     

约束编程与约束满足在产品装配中的应用

约束编程与约束满足问题是近三十年来在人工智能领域发展起来的一个研究方向。产品配置器近十几年来发展起来的一项技术。文中介绍约束编程及约束满足问题在按订单装配型产品配置器中的应用，并通过讨论说明了相对于传统配置方案求解过程，应用约束满足的优越性。     

产品配置的知识表示

为按照用户的需要定制售卖产品的公司提供支持的基于知识的配置系统,产品配置器是人工智能技术的一个重要应用.本文首先描述了配置问题及其相关概念,然后分析了某些配置知识表示的优缺点,在此基础上提出了产品配置知识的图形表示方法,最后讨论了目前的一些热点研究问题.     

约束编程及其在产品配置器中的应用

产品配置器技术是人工智能领域近十几年来发展起来的一个新的研究方向，而约束编程、约束满足问题等也是近三十年才发展起来的。本文介绍了产品配置器核心算法的最新发展，论述了约束编程在这一领域所做的贡献以及两者相结合的发展趋势。     

基于GBOM的产品配置研究

针对可配置产品和产品族的特点，提出一个基于GBOM的产品配置模型GPCM，详细地分析了模型中配置单元的构成、划分、约束关系的表达，说明了配置过程的实现与PDM，ERP和CAD的集成等问题．最后给出了模型在电梯产品配置中的实际应用．     

基于产品模型的多级产品配置研究

本文首先对产品配置的通用方法进行了总结,然后对产品配置的相关对象进行了分析,提出了一种产品模型的构造方法,并在此基础上提出了基于产品模型的多级产品配置方法,并给出一个发动机产品配置实例.     

产品配置模型的演化与再配置

在分析产品配置的动态性、说明产品再配置的客观需求以及产品配置与产品再配置不同的基础上,提出了配置模型和配置单元演化的版本向上传播规则以及理想配置环境的三个不同层次,指出最理想的配置环境是能够描述配置模型的差异,并在不同时间对已配置产品进行再配置．最后给出了一个产品再配置的实现算法．     

基于XML的产品配置方法研究

针对异构环境下产品数据描述不统一以及产品信息共享难以实现的实际问题,利用XML的强扩展性,描述精确性以及平台无关性等特点,提出了以XML为基础的产品数据描述格式,给出了基于XML的产品配置方法以及产品配置管理模型,并设计了在该配置管理模型下配置规则的一种实现方式,同时给出了对应的结构树配置算法.最后还结合了一个配置实例来说明该方法.     

产品配置软件的开发及产品实例的定制实现

大规模定制生产是以大规模生产的效率和成本向客户提供个性化定制产品的一种生产模式,它以客户为中心组织生产,提供多样化产品来满足不同需求。本文在建立的多色图配置模型及配置算法的基础上,开发大规模定制生产中产品配置原型软件,实现产品结构信息管理、BOM管理、配置规则管理、配置结果管理等相关功能。同时编写配置软件与CATIA的接口程序,实现在三维环境中对配置结果电子样机的预览,最后结合产品实例进行验证配置模型和配置方法的正确性,以及使用配置结果和变型设计实现定制生产。     

基于参数的通用知识表示与应用

将知识表示运用于产品通用配置平台开发,实现产品的快速开发,并通过知识编译器对配置知识进行词法分析、语法分析和代码执行,自动检测新产品实例是否符合产品配置规则,为实现产品配置的智能化提供了一种可行的途径。     

Customers’ learning process during product customization: The case of online configuration tool kits

Online configuration tool kits present attractive opportunities for creating customized offers. The purpose of this study is to analyze the relevance of both the TAM (Technology Acceptance Model) and the experiential learning theory to understand how configuration contributes to provide value for end users. The qualitative survey shows that the TAM needs to be adapted to the case of configurators by measuring both perceived usefulness (PU) of the configured product and PU and ease of use of the configurator itself. The study shows the relevance of experiential learning theory as an antecedent of the TAM. A model summarizing our observations is proposed and discussed.     

A layout technique for class diagrams to be used in product configuration projects

The use of product configurators has produced a range of benefits for several companies, such as minimizing the use of resources and shortening the lead times in product specification processes. When developing a product configurator, two kinds of models are often created, namely analysis models and design models. Since the task of describing product knowledge in analysis models involves domain experts, the analysis language has to be easily understandable in order to avoid the need for extensive training. For this task, the so-called Product Variant Master (PVM) diagramming technique is often applied. With regard to the design model, the requirements for the language focus more on a formalized and rich language, which is why class diagrams are often applied. To avoid the use of different modelling languages in the analysis and design phase, this paper proposes the layout technique ‘Vertically Aligned Class Diagrams’ (VACDs), which incorporate the usability of PVMs into class diagrams. To validate the usefulness of the VACD technique, the paper compares VACDs to PVMs and class diagrams in a utility analysis and a usability experiment. These investigations strongly indicate that VACDs maintain to a great extent the combined advantages of PVMs and normally drawn class diagrams. Thus, the use of VACDs in configurator projects has the potential to increase efficiency, improve communication and reduce errors.     

Overcoming the customization-responsiveness squeeze by using product configurators: Beyond anecdotal evidence

Anecdotal evidence suggests that product configurators may be crucial in improving time performance when offering customized products so as to overcome what has been termed the customization-responsiveness squeeze. Large-scale hypothesis-testing studies that either corroborate this finding or discover unpredicted boundaries of validity are still lacking, however. Our paper contributes to fill this gap by testing the positive impact of product configurator use on time performance on a sample of 238 manufacturing plants from three industries and eight countries. The results support the hypothesized impact after the effects of widely acknowledged antecedents of accelerated time performance have been removed. Implications of our findings for both research and practice are finally discussed.     

Consistency-based diagnosis of configuration knowledge bases

Configuration problems are a thriving application area for declarative knowledge representation that currently experiences a constant increase in size and complexity of knowledge bases. Automated support of the debugging process of such knowledge bases is a necessary prerequisite for effective development of configurators. We show that this task can be achieved by consistency-based diagnosis techniques. Based on the formal definition of consistency-based configuration we develop a framework suitable for diagnosing configuration knowledge bases. During the test phase of configurators, valid and invalid examples are used to test the correctness of the system. In case such examples lead to unintended results, debugging of the knowledge base is initiated. Starting from a clear definition of diagnosis in the configuration domain we develop an algorithm based on conflicts. Our framework is general enough for its adaptation to diagnosing customer requirements to identify unachievable conditions during configuration sessions.A prototype implementation using commercial constraint-based configurator libraries shows the feasibility of diagnosis within the tight time bounds of interactive debugging sessions. Finally, we discuss the usefulness of the outcomes of the diagnostic process in different scenarios.     

基于与或树的柔性BOM结构及其产品配置算法

形式化定义和描述了一种基于与或树的产品结构及其相关特性,基于该结构的BOM设计具有更好的产品配置柔性。在此基础上,还提出了一种面向任务的产品配置算法,能使产品的结构配置适应企业的特定生产任务要求。     

面向企业的产品结构与配置管理关键技术研究

结合目前企业的发展需要,简述现今PDM的发展趋势,并针对产品结构与配置管理在企业实施中存在的问题,提出面向企业的产品结构与配置管理理念。在此基础上,论述了信息资源库的建立、面向企业的全局产品信息模型、版本管理、体系结构等关键技术。     

用户化虚拟设计中的产品族描述语言PFL

介绍一种面向大规模定制的基于Web的用户化虚拟设计环境的基本框架，针对其中造型服务器中描述产品族结构的需要，提出用产品族描述语言建立产品族结构的方法，设计了相应的语法和语义结构，并构建了相应的解释器执行该语言并最终生成产品的虚拟模型．     

Usability is more valuable predictor than product personality for product choice in human-product physical interaction

Product personality and product usability are two important factors which can influence consumers' product choice. Published literature are available regarding independent impact of product personality and product usability on product choice but no research has been reported so far for understanding their collective influence on product choice. In addition, which factor between usability and product personality contributing more in product choice is still not clear. Current research thus aimed to bridge these research gaps by establishing inter-relationships among product personality, usability and product choice. To achieve this goal, two separate experiments were conducted. Results of first experiment revealed that products having high product usability also possessed strong product personality. Following second experiment, it was observed that solitary influence of product usability on product choice was more than the standalone influence of product personality in human-product physical interaction. Moreover, it unfolded the fact that product usability mediates the influence of product personality towards product choice. Established interrelationships among product personality, usability and product choice, would help designer and ergonomists to decide how product attributes could be manipulated to enhance product personality and/or product usability to ensure product choice.     

Do we order product review information display? How?

This article examines whether (if so, how) ordered (versus random) product review display would be more helpful and easier to comprehend. The results from a set of experiments show that product reviews ordered by their types (i.e., presenting an attribute/experience-based review before another type) are perceived to be more helpful and easier to comprehend. We further observed that displays of attribute-based product reviews followed by experience-based product reviews are perceived to be more helpful for a search product. Likewise, displays of experience-based product reviews followed by attribute-based product reviews are more helpful for an experience product.