Product form design using customer perception evaluation by a combined superellipse fitting and ANN approach

Product aesthetics plays an important role in new product design and development. Product form can deliver product images and affect customer’s impression to a product. However, it is usually difficult to apply conventional approaches to represent the product form precisely and effectively for modeling the relationship between product image and customer perception. The objective of this work is to develop a computational technique for product aesthetics design so that customer perception can be taken into product form design in a more systematic and intelligent manner. To achieve this aim, a novel parametric approach is proposed to introduce design parameters such as line, size, and ratio into product design model and the technique of generalized superellipse fitting is adopted to describe the outline pattern of a product. Since customer perception on a product is highly non-linear and very difficult to be described by any traditional mathematical approaches, an artificial neural network (ANN) model is therefore established to relate the design parameters and the perceptual values for the design of a new product. A case study of mobile phone design, in which twelve numerical parameters are defined for the conceptual model, has been conducted to explain the implementation of the proposed approach. A three-layered perceptron ANN model is developed to predict the perceptual values of stylishness based on a survey using 32 mobile phone samples. The results of the case study illustrate that the proposed approach can successfully generate an optimum design of a mobile phone by applying a genetic algorithm (GA) on the trained ANN model.     

Data management of green product development with generic modularized product architecture

Many manufacturers are facing a complex situation in the mixed production environment, in which green and non-green products are fabricated simultaneously. They are losing competitiveness as a downstream supplier due to lacking of a cost-effective approach to managing product variations compliant with different green directives. This paper presents a methodology based on generic modularized product architecture that facilitates data management of green product development. The four-level architecture allows one unified representation for multiple product models. An option control mechanism enables a quick generation of their BOMs (bills of material). A procedure consisting of seven steps is proposed to accomplish this. PDM functions are implemented to demonstrate the effectiveness of the methodology using a real LCD TV family as an example. This work complements the past studies on green product development, which mainly tackled the problem from design, process, and supply chain improvement. In contrast, from a management perspective, the proposed methodology provides a simple but useful tool for small-to-medium-sized enterprises (SMEs) to perform green product development in an economical manner.     

关于产品造型设计程序的探讨

产品设计已成为全社会所关注的焦点问题之一,其意义和重要性已勿庸置疑。本文就如何展开产品设计及设计的一般程序进行了探讨。     

Modeling evolving product data for concurrent engineering

In order to make the traditional product structure tree representation amenable to concurrent engineering relationships likeperspective-of anddependent-on have to be added to the essentialpart-of relationship. Complex data can be held in proprietary formats, while simple data will be in a common representation for direct access by diverse disciplines. Coordination among team members in a project can be carried out using such a model. Besides, a virtually unified view of all the data is possible, though they may lie in distributed and heterogeneous data bases. A very necessary characteristic of such a model is that its time evolution should be easy to represent in order to reflect the dynamic nature of product development, where the model itself, and not merely the data values change. Managing versions is also facilitated by the comprehensive structure of the Unified Product Data Model (UPDM).     

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.     

Product manual elaboration in product design phases: Behavioral and functional analysis based on user experience

In classical design methods, intuitive consideration is given to how the product, or the system that is the subject of the design, is used. How the product is used is defined in a product manual. It is taken into account in the final phase of the techno-centric process, which leads not only to modifications of the late design phases, but also to difficulties using the product. Product manual also helps businesses save significant staff training and customer service costs. Anthropocentric methods are rarely used by the general public, and are in fact too expensive. We propose to take product use into account by integrating behavioral analyses (the behavior of the product and of its user) with functional analyses. This will allow us to set out instructions for using the product right at the design stage. An analysis of techno- and anthropocentric approaches is presented in this work in a bid to position our approach. Next, a functional and behavioral analysis is proposed based on a car seat case study. The proposed method also calls for a phase dedicated to the collection of product use information and data on user feedback or legislatives data. These analyses are carried out using the QFD method in order to assist the designer in structuring knowledge, taking into account the functions of the product, the characteristics or criteria of its use, and the points to be developed when drawing up operating instructions.     

Product platform configuration for product families: Module clustering based on product architecture and manufacturing process

Product family design utilizes platform-based modularity to enable product variety and efficient mass-production. While product platform issues have attracted much attention from both academia and industry, traditional product platform design for product families emphasized the platform-based modularity that focuses on product structure dimension (functional or non-functional) to realize cost reductions during the design stage. Both the design architecture and manufacturing process are objectives that define product family modularity (PFM). They should be closely coupled with each other for the planning and configuration of platforms. This paper focuses on the product platform configuration by recognizing and utilizing shared product modules for product families. Instead of clustering product modules only based on their design structure, this approach differentiates each product variant, and considers the inherent relationship between product architecture and processing activities. The advantage is that similar components can be grouped and produced on a shared platform, thus benefitting from lower cost and shorter production time. First, both the architecture and manufacturing information of the product variety are captured in matrix format. Then, hierarchical clustering is applied over the components to generate PFM. Finally, a set of platforms are constructed to efficiently process most components of variants.     

Design and implementation of an agent-based collaborative product design system

The evolution of computer science and technology has brought new opportunities for multidisciplinary designers and engineers to collaborate with each other in a concurrent and coordinated manner. The development of computational agents with unified data structures and software protocols contributes to the establishment of a new way of working in collaborative design, which is increasingly becoming an international practice. In this paper, based on the analysis of the dynamic nature of collaborative design process, a new framework for collaborative design is described. This framework adopts an agent-based approach and relocates designers, managers, systems, and the supporting agents in a unified knowledge representation scheme for product design. In order to model the constantly evolving design process and the rationales resulted from design collaboration, a Collaborative Product Data Model (CPDM) and a constraint-based Collaborative Design Process Model (CDPM) are proposed to facilitate the management and coordination of the collaborative design process as well as design knowledge management. A prototype system of the proposed framework is implemented and its feasibility is evaluated using a real design scenario whose objective is designing a set of dining table and chairs.     

基于CPC平台的PDM系统研究

本文分析了CPC的特点，充分利用Web技术，从协作、产品、商务三个方面出发，对CPC平台进行了构建。在此基础上，提出了基于CPC平台的面向整个产品生命周期的PDM系统。     

一种针对商品数据记录的自动抽取方法

提出一种针对电子商务网站商品列表页数据记录的自动抽取方法。该方法根据商品记录的特点,通过商品记录中商品的文本、图片以及布局等节点类型信息计算节点对应的值,依据节点值的相似度对节点进行分组,再从不同分组中过滤出包含数据记录节点的集合,从而抽取整个页面的数据记录。实验结果证明该方法有效且抽取效率较高。     

A systematic data-mining-based methodology for product family design and product configuration

Product family design and product configuration based on data mining technology is identified as an intelligent and automated means to improve the efficiency of product development. However, few of previous literatures have proposed systematic product family design method based on data mining technology. To make up for this deficiency, this research put forward a systematic data-mining-based method for product family design and product configuration. First, the customer requirement information and product engineering information in the historical order are formatted into structural data. Second, principal component analysis is performed on historical orders to extract the customers' differentiated needs. Third, association rule algorithm is introduced to mine the rules between differentiated needs and module instances in the historical orders, thus obtained the configuration knowledge between customer needs and product engineer. Forth, the mined rules are used to construct association rule-based classifier (CBA) that is employed to sort out the best product configuration schemes as popular product variants. Fifth, sequence alignment technique is employed to identify modules for popular product variants, so that the module instances are divided into optional, common and special module, respectively, thereby the product platform is generated based on common modules. Finally, according to new customer needs, the CBA classifier is used to recommend the best configuration schemes, and then popular product variants are configured based on the product platform. The feasibility of the proposed method is demonstrated by the product family design example of desktop computer hosts.     

基于Web的PDM系统及Web使能产品数据

制造和市场全球化使企业对基于Ｗｅｂ的ＰＤＭ系统的需求日益迫切,同时传统的设计制造数据不敌人和为Ｉｎｔｅｒｎｅｔ上的共享数据,传统的产品数据到Ｗｅｂ使能数据的转换成为基于Ｗｅｂ的ＰＤＭ系统开发的关键技术之一。文章介绍了ＮＰＵ－ＷｅｂＰＤＭ系统的总体框架,对产品数据及其相应的Ｗｅｂ使能数据分析和讨论, 具体给出从ＳＴＥＰ数据到ＶＲＭＬ数据转化的算法思路。最后给出几种Ｗｅｂ使能数据的实例。     

IIE环境下产品信息集成与可视化技术研究

在分析IIE环境下产品信息共享及可视化特点的基础上,针对产品信息建模、产品数据访问和表达方式,提出了产品数据主模型及可视化产品结构树的概念,研究了IIE环境下的产品信息共享及可视化的系统模型及关键技术,为研制基于Web的CAx系统、PDM系统及实施协同设计、敏捷制造等先进生产模式提供了理论基础.     

对产品设计教学的思考

产品设计是工业设计最重要的专业课之一。本文通过对产品设计系列课程的分析,探究产品设计的课程内容、教学方法和手段,并阐述了每个课程的实践过程和环节。     

Product variety optimization under modular architecture

In this paper, product variety design is discussed under an optimization viewpoint. Product variety design means the challenge to simultaneously design multiple products for achieving higher optimality beyond ordinary design methods for a single product. When the possibilities of computational optimization for product variety design under fixed product architecture are explored, optimization is demanded to determine the contents of modules and their combinations under fixed modular architecture. This indicates that product variety optimization includes three classes of optimization problems: attribute assignment, module combination, and simultaneous design of both. Following problem classification, the domains and situations of such optimization problems are investigated. Then, two typical optimization examples are demonstrated through aircraft design for simultaneous optimal attribute assignment and through design of television receiver circuits for optimal module combination, respectively. The discussion concludes with the roles of problem classification and the direction of future works.     

Development of a framework system for tool integration in a product information archive

The described framework system has the goal of providing an integration platform for engineering tools to interact. Engineering tools exchange information via the data repository of the framework system. In the European research project ESPRIT EP6896 Concurrent/Simultaneous Engineering System (CONSENS), a Product Information Archive (PIA) is being developed based on the object-oriented database system of the framework, the Object Management System. The Product model is based on a STEP compliant schema. This has been achieved by developing an Application Resource Model (ARM) for the required product information according to a user requirements analysis. The ARM then was mapped to the Integrated Resource Models of STEP which resulted in an object-oriented STEP compliant model. The main objective of PIA is the integration of the product information flows between parallel teams using the framework for product development. This is provided by an interface consisting of a library of functions that enable tools within and external to the framework to access PIA and exchange up-to-date product information. Additionally an X Motif based interface provides human users with direct access possibilities. The framework has been tested by the integration of various tools which support product development.     

Adaptive generic product structure modelling for design reuse in engineer-to-order products

In product lifecycle management, the efficiency of information reuse relies on the definition and management of equivalence information between various product data and structure representations. Equivalence information ensures the consistency and traceability of product information throughout the product lifecycle. The sales-delivery process of engineer-to-order (ETO) products presents a great potential for design reuse, i.e. the reuse of previously validated design solutions in the design of new product variants according to customer-specific requirements. A product family data model that focuses on the interdependencies of viewpoints on information will therefore improve the setup of design reuse mechanisms such as modularity. This paper describes the Adaptive Generic Product Structure (AGPS), a dynamic structure-based product family modelling approach that enables the systematic aggregation of product variants and their distinctive components. The purpose of the approach is to capitalize on the expanding component variety developed within previous product variants as early as the sales lead phase of the sales-delivery process, in order to reduce customer-driven design costs and shorten lead-times. An illustrative example based on the aerospace industry is presented.     

A spatiotemporal information management framework for product design and assembly process planning reconciliation

This paper introduces an innovative framework for product design and assembly process planning reconciliation. Nowadays, both product lifecycle phases are quasi concurrently performed in industry and this configuration has led to competitive gains in efficiency and flexibility by improving designers’ awareness and product quality. Despite these efforts, some limitations/barriers are still encountered regarding the lack of dynamical representation, information consistency and information flow continuity. It is due to the inherent nature of the information created and managed in both phases and the lack of interoperability between the related information systems. Product design and assembly process planning phases actually generate heterogeneous information, since the first one describes all information related to “what to be delivered” and the latter rationalises all information with regards to “how to be assembled”. In other words, the integration of assembly planning issue in product design requires reconciliation means with appropriate relationships of the architectural product definition in space with its assembly sequence in terms of time. Therefore, the main objective is to provide a spatiotemporal information management framework based on a strong semantic and logical foundation in product lifecycle management (PLM) systems, increasing therefore actors’ awareness, flexibility and efficiency with a better abstraction of the physical reality and appropriate information management procedures. A case study is presented to illustrate the relevance of the proposed framework and its hub-based implementation within PLM systems.