Abstract

In order to effectively reuse the design knowledge of product family life cycle development and support holistic and rapid individual product design, this article presents a new meta-model-based systemic customization design method for complex product systems within a product-pedigree. The proposed method aims to synthetically analyze the common and adaptive customer demands and product features of a product-pedigree of complex product systems and to quickly respond to the changing demands based on knowledge accumulation in the field of customization design. The key to implement such a method is (1) to construct a product-pedigree-oriented product meta-model with a four-layered architecture where it is possible to achieve a high degree of abstraction of product and (2) to develop a special technique for configuring the meta-model of the complex product systems. We have tested the proposed method with the rapid design of product-pedigree of a high-speed train’s bogies as an illustrative example. In this work, a rapid customization design prototype system has been developed and applied to the design of a high-speed train’s bogie to illustrate how to construct a product meta-model and how to conduct configuration design on different layers and variant design for generating new products.

Highlights

  • Complex product systems (CoPS) are high-tech integrated products, systems, or facilities including machinery, computer, electronic, material, and network communication fields, for example, aerospace system, ship, weapon and equipment, automobile, high-speed train, and other high-end equipment; they have the following characteristics: high cost, large scale, technically complex, single-piece or small-batch customization, and technology intensive.[1]

  • The typical customization design method is based on module combination and parametric design supported by a massive feature library, which is centered on twodimensional (2D) drawings or three-dimensional (3D) models, so it is difficult to integrate with design processes, standards, and experiences to form a normative innovative R&D paradigm.[4]

  • Based on the product-pedigree and meta-model, we propose a rapid customization design technology for CoPS based on configuration design and variants

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Summary

Introduction

Complex product systems (CoPS) are high-tech integrated products, systems, or facilities including machinery, computer, electronic, material, and network communication fields, for example, aerospace system, ship, weapon and equipment, automobile, high-speed train, and other high-end equipment; they have the following characteristics: high cost, large scale, technically complex, single-piece or small-batch customization, and technology intensive.[1]. The typical customization design method is based on module combination and parametric design supported by a massive feature library, which is centered on twodimensional (2D) drawings or three-dimensional (3D) models, so it is difficult to integrate with design processes, standards, and experiences to form a normative innovative R&D paradigm.[4] Product model is regarded as a basis for realizing knowledge reuse and sharing, which plays a core role in customization design.[5] Generally, designing a CoPS needs a long-term development process in a complex evolutionary way and products form a huge product spectrum. There are many common and adaptive technologies of CoPS and massive and constantly evolving knowledge, so it is difficult to develop a reasonable product model to support the customization design. We propose a meta-model-based systemic customization design method of CoPS to solve the above problems. 2. We propose a product-pedigree-oriented product meta-model construction technology of CoPS. 3. Based on the product-pedigree and meta-model, we propose a rapid customization design technology for CoPS based on configuration design and variants. Section ‘‘Conclusion and future studies’’ concludes the article with discussions for further work

Literature review
Configuration and variant design
Findings
Discussion
Conclusion and future studies
Full Text
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