Knowledge push technology based on quality function knowledge deployment

Zhang, Kai; Zhao, Wei; Wang, Jie; Ling, Chen; Guo, Xin

doi:10.1177/0954406218768843

Cited by 10 publications

(6 citation statements)

References 33 publications

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“…These framework tools can provide implementation specifications for conceptual design in different scenarios and provide guidance for designers to conduct the corresponding design activities. To help designers track, acquire, and apply knowledge throughout the product innovation design lifecycle, a knowledge push framework was created (Zhang et al , 2018). A conceptual design framework was created to address the impact of uncertain environments and potential issues (Guo et al , 2021a).…”

Section: Framework and Methodology To Support Product Improvementmentioning

confidence: 99%

“…The research for knowledge-based product conceptual design mainly focuses on knowledge requirement definition, knowledge representation and modeling, knowledge matching and retrieval, and knowledge configuration. Zhang et al (2018) proposed a knowledge push approach based on quality-function-knowledge deployment. The quality house for knowledge requirements (KRs) connected knowledge with design activities to help designers track the required knowledge.…”

Section: Literature Reviewmentioning

confidence: 99%

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A knowledge-enabled approach for user experience-driven product improvement at the conceptual design stage

Li,

Guo,

Zhang

et al. 2023

AIEDAM

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Improving existing products plays a vital role in enhancing customer satisfaction and coping with changes in the market. Analyzing user experience (UX) to find the deficiencies of existing products and establishing improved schemes is the key to UX-driven product improvement, especially at the conceptual design stage. Although some tools used in conceptual design, such as requirements analysis and knowledge reasoning, have advanced recently, they lack targeted goals and sufficient efficiency in identifying insufficient product attributes and improving existing functions and structures. The challenge lies in considering the influence imposed on design activities by the original product features (including attributes, functions, and structure). In this study, a knowledge-enabled approach and framework that integrates the conceptual design process, online reviews for UX, and knowledge is proposed to support product improvement. Specifically, a decision-making algorithm based on UX analysis is proposed to identify to-be-improved product attributes. Then, through optimizing the previous knowledge application model from knowledge requirement transformation, knowledge modeling, and knowledge reasoning, a smart knowledge reasoning model is established to push knowledge for functional solving of the to-be-improved attributes. A knowledge configuration method is used to modify product features to generate an improved scheme. To demonstrate the feasibility of the proposed approach, a case study of improving an agricultural sprayer is conducted. Through discussion, this study can help to regulate design activities for product improvement, enhance data and knowledge application, and promote divergent thinking during scheme modification.

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Section: Framework and Methodology To Support Product Improvementmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A knowledge-enabled approach for user experience-driven product improvement at the conceptual design stage

Li,

Guo,

Zhang

et al. 2023

AIEDAM

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“…In this paper, we use the existing knowledge pushing algorithm of the research team for policy service and knowledge service matching operation [ 44 ]. The matching idea can be described as follows: the item PX to be matched (which can be design problem DP , solution strategy SS, or design solution DS ) is decomposed into multiple subitems PX i , which are matched and computed with matching items PY (which can be strategy service SSs or knowledge service DKSs ), and the design task is marked as completed when all subitems PX i are satisfied or solved.…”

Section: Product Design Solution Evolution Knowledge Service Modelmentioning

confidence: 99%

“…The product design solution evolution was systematically implemented as a module of the existing computer-aided product innovation design knowledge service system of the group [ 44 ], and the operation flow of the system is shown in Figure 6 .…”

Section: Case Studymentioning

confidence: 99%

Solution Evolution Knowledge Service Based on Design Iteration in Strain Sensor Design

Zhang

Zhao

Liu³

et al. 2023

Sensors

Self Cite

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Product design is a process of repeated iteration and gradual improvement, and knowledge push is one of the bottlenecks that needs to be solved to improve the product design level. With the increase in design complexity and iteration rounds, the existing knowledge application methods can hardly meet the needs of product design solution iteration and evolution. In order to better assist designers in acquiring and applying knowledge in the process of product design solution evolution, a knowledge service method for product design solution evolution based on the problem–strategy–solution (PSS) interaction iteration is proposed. The mapping and feedback process between design problems, design strategies, and design solutions are analyzed, a model of the solution evolution process based on design iteration is proposed, and a PSS-based product design solution evolution mechanism is established. On this basis, the product design solution evolution knowledge service dimension is built, and the solution evolution knowledge service model based on design iteration is established. The corresponding solution evolution function module is developed based on the pre-developed computer-aided product innovation design platform. The validity of the iterated-based design was proved in the technical innovation of nanofiber preparation and further application of strain sensors.

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“…Adomavicius et al (2005) proposed a multidimensional approach to recommender systems that can provide recommendations based on additional contextual information. In response to the different needs of designers for knowledge at different design stages, Zhang et al (2019b) established a product innovation design knowledge push model based on quality function knowledge deployment (QFKD). To improve the quality of personalized information recommendation services, Lu et al (2019) designed a novel personalized information recommendation model which improve mining efficiency of user behavior pattern in big-data environment.…”

Section: Introductionmentioning

confidence: 99%

Individualized and accurate eco-design knowledge push for designers: a CAD-based feedback knowledge push method for the eco-design

Zhang

Shao

Chen

et al. 2021

Concurrent Engineering

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In the conceptual design phase of eco-products, the evaluation of products eco-design is often considered by designers after determining the design scheme. In order to improve the eco-design efficiency, a CAD-based feedback knowledge push method was proposed to meet the designer’s eco-design knowledge requirements. Combine with the designer knowledge background, classified eco-design knowledge, and decomposed design tasks, eco-design knowledge requirements of designers can be obtained. Based on the cosine similarity algorithm of the knowledge vector space model (VSM), the knowledge requirements of the designer and the knowledge in the knowledge database are matched, and the eco-knowledge is actively pushed to the designer. The feedback and evaluation of designers on the initial push of knowledge was recorded by the system. When the designer is assigned relevant eco-design tasks again, the system conducts secondary filtering of eco-design knowledge through previous feedback records and pushes the filtered knowledge to designers, so as to achieve accurate feedback knowledge push. A CAD-based eco-design knowledge push prototype system for automotive products is developed. The eco-design of the front-end module of the automotive is used as an example to verify the effectiveness of the above method.

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Knowledge push technology based on quality function knowledge deployment

Cited by 10 publications

References 33 publications

A knowledge-enabled approach for user experience-driven product improvement at the conceptual design stage

A knowledge-enabled approach for user experience-driven product improvement at the conceptual design stage

Solution Evolution Knowledge Service Based on Design Iteration in Strain Sensor Design

Individualized and accurate eco-design knowledge push for designers: a CAD-based feedback knowledge push method for the eco-design

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