Knowledge management of product design: A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map

Zhong, Donglai; Fan, Jiashuang; Yang, Gangjun; Tian, Baozhen; Zhang, Yukun

doi:10.1016/j.aei.2022.101541

Cited by 25 publications

(6 citation statements)

References 46 publications

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“…Four steps in this framework, including requirements elicitation, solution recommendation, solution evaluation, and knowledge evolvement, are further introduced to support decision making and optimization in an extended or cyclic life cycle. To solve the knowledge acquisition problem in the product design process, Zhong et al proposed a requirement-oriented knowledge management framework based on Kansei engineering and knowledge map, and established a demand-oriented knowledge management model using the advantages of Kansei engineering in knowledge acquisition and multi-objective decision making in knowledge selection [ 37 ]. These studies have been effective in generating product design solutions, but the absence of an iterative design process makes it difficult to support multiple iterations of requirements–design objectives–solution.…”

Section: Related Workmentioning

confidence: 99%

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

Zhang

Zhao

Liu³

et al. 2023

Sensors

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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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Section: Related Workmentioning

confidence: 99%

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

Zhang

Zhao

Liu³

et al. 2023

Sensors

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show abstract

“…On the other hand, as knowledge is recognized as a key organizational resource [29], diverse knowledge management systems have been applied to support the decision making process during design. For example, Zhong et al proposed a knowledge management system based on information of customers and the application of kansei engineering concepts [30]; Berao et al proposed an architecture for knowledge management to support collaborative activities and design within organizations [31]; Zahng et. al.…”

Section: Background 21 Capitalization Organizational Knowledge For Ch...mentioning

confidence: 99%

Towards a Knowledge Base to Support the Management of the Design Process of Formulated Products

et al. 2023

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The design of new consumer chemical products is a complex task at different levels. In addition to the technical challenges of the formulation, design teams should also consider the requirements of the organization where the design is performed. The objective of this article is to present a knowledge base to support decision-making for the design of formulated products, considering the organizational dimension. For this, data were collected during ten semi-structured in-depth interviews with industrial experts who are also decisional actors in the design process. From the collected data, design recommendations were identified and analyzed. These recommendations are statements which can be used by organizations to evaluate, understand, improve, or create their own design methodologies considering their context and resources. Subsequently, the extracted recommendations were analyzed according to three types of criteria: the stages of the design process, the involved actors, and the organizational context. As a result, a knowledge base containing systematically organized recommendations that have led to the development of successful products is presented. Finally, the multiple uses of the knowledge base are shown with theoretical examples and the knowledge base is applied to analyze the design process of a real organization: in a small and medium-sized enterprise (SME) in the cosmetic sector.

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“…Most of current KGs are domain-specific, with certain underlying ontologies [ 36 ]. The most important task of constructing a KG is to design ontology.…”

Section: Modelmentioning

confidence: 99%

A systematic knowledge graph-based smart management method for operations: A case study of standardized management

Wen,

Zhao,

Liu

2023

Heliyon

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Knowledge management of product design: A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map

Cited by 25 publications

References 46 publications

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

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

Towards a Knowledge Base to Support the Management of the Design Process of Formulated Products

A systematic knowledge graph-based smart management method for operations: A case study of standardized management

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