A new conceptual design method to support rapid and effective mapping from product design specification to concept design

Zhang, Haizhu; Han, Xin; Li, Rong; Qin, Shengfeng; Ding, Guofu; Yan, Kaiyin

doi:10.1007/s00170-016-8576-6

Cited by 33 publications

(21 citation statements)

References 40 publications

(39 reference statements)

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“…We regard PDS as the initiating layer of design change, behavior as the transfer layer of design change, and structure as the executive layer of design change. Based on the P-B-S conceptual design model [21] and the three level's definition of design change, our P-B-S design change model is developed to show the process of design change and identify change propagation impact (Fig. 2).…”

Section: Design Change Modelingmentioning

confidence: 99%

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Design Change Model for Effective Scheduling Change Propagation Paths

Zhang

Ding

et al. 2017

Chin. J. Mech. Eng.

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Changes in requirements may result in the increasing of product development project cost and lead time, therefore, it is important to understand how requirement changes propagate in the design of a complex product system (CoPS) and be able to select best options to guide design. This paper presents a new design change model to systematically analyze and search change propagation paths. Firstly, a PDS-Behavior-Structure-based design change model is established to describe requirement changes causing the design change propagation in behavior and structure domains. Secondly, a multi-disciplinary oriented behavior matrix is utilized to support change propagation analysis of CoPS, and the interaction relationships of the matrix elements are used to obtain an initial set of change paths. Finally, a rough set-based propagation space reducing tool has been developed to assist in narrowing change propagation paths by computing the importance of the design change parameters. The proposed new design change model and its associated tools have been demonstrated by a case study to show its feasibility and effectiveness. This model is not only supportive to response quickly to diversified market requirements, but also helpful to satisfy customer requirements and reduce product development lead time.

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Section: Design Change Modelingmentioning

confidence: 99%

“…When the affected changes are in single disciplinary, the path searching can go down directly to the structure level. The mappings between behavior and structures are based on our P-B-S conceptual design model [21] . When the searching process is completed, all possible paths will be identified.…”

Section: Propagation Analysis and Space Reduction Toolmentioning

confidence: 99%

Design Change Model for Effective Scheduling Change Propagation Paths

Zhang

Ding

et al. 2017

Chin. J. Mech. Eng.

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“…The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2].…”

Section: Introductionmentioning

confidence: 99%

“…The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2].…”

mentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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： The customer requirement modeling is a highly important part of a product development process for understanding the customers and market needs. But with the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers' requirements. This paper provides a new synthesized multidisciplinary customer requirements modeling method for obtaining and describing the common understanding of customer requirements and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development.Key words: complex mechatronic product, multidisciplinary customer requirements modeling, disciplinary specialty language dictionary, high-speed train 1.IntroductionWith the mass customization of product design and development, the individuality and diversity of customer requirements for a complex mechatronic product is ever increasing, the manufacturer enterprises are facing tremendous pressures and challenges to deal with the diverse and rapid changing customer and market requirements. The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2]. The requirement elicitation is to extract Biographical notesMA Xiaojie, born in 1986, is currently a PhD candidate at Institute of Advanced Design and Manufacturing,

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“…Techniques used in phase 1 include the use of cluster analysis, KC flow-down, and a network analysis approach. In phase 2, similarity reasoning technique, breadth-first search (BFS), and a gray relational analysis approach are used to identify KDCs that are the most sensitive to the changes of PDS [29], which in turn help designers to focus on these KDCs and rapidly develop a design scheme. Thirdly, this research makes a complementary contribution to key process characteristic (KPC) identification by adding KDCs, toward a whole design and process KC identification for future rapid product life cycle development.…”

Section: Introductionmentioning

confidence: 99%

Identification of key design characteristics for complex product adaptive design

Han

Wang

et al. 2017

Int J Adv Manuf Technol

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Key design characteristics (KDCs) are important information related to the product and part designs, which significantly influence on the product's functions, performances, and quality. Identifying KDCs for a complex product will help designers to focus on key design parameters during the design process and rapidly obtain design schemes based on their close relationships to the product's functions, performances, and quality. Although there are some researches on key characteristic (KC) identification, most of them are focused on key process characteristics (KPCs) and few on KDCs. There also lacks a KDC identification framework to support KDC identification with better completeness and diverse usages. Adaptive design is the most important pattern of complex product design. Therefore, this paper presents a systematic method to identify KDCs for complex product adaptive design, in which KDCs can be determined by two related phases. Firstly, a product design specification (PDS)-KDC Candidates Network (PKCN) is constructed by using existing product instance data, cluster analysis, KC flow-down, and network analysis approaches. Then, the result from the first phase is used as a basis to identify KDCs for adaptive design. Three KDC identification techniques: similarity reasoning technique, breadth-first search (BFS), and the gray relational analysis approach are applied to find out KDCs from the PKCN, which are the most sensitive to the variation of a PDS. These identified KDCs can help designers to understand the relationships between KDCs and PDS and rapidly develop a design scheme. The effectiveness and the feasibility of the proposed method are verified by a case study via the development of an electric multiple unit (EMU)'s bogie.

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A new conceptual design method to support rapid and effective mapping from product design specification to concept design

Cited by 33 publications

References 40 publications

Design Change Model for Effective Scheduling Change Propagation Paths

Design Change Model for Effective Scheduling Change Propagation Paths

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Identification of key design characteristics for complex product adaptive design

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