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Research Papers

A New User Implicit Requirements Process Method Oriented to Product Design

[+] Author and Article Information
Qi Guo

School of Mechanical Engineering,
Southeast University,
Nanjing 210000, China
e-mail: 230169630@seu.edu.cn

Chengqi Xue

School of Mechanical Engineering,
Southeast University,
Nanjing 210000, China
e-mail: ipd_xcq@seu.edu.cn

Mingjiu Yu

School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710000, China
e-mail: 395458317@qq.com

Zhangfan Shen

ASME Member
School of Mechanical Engineering,
Southeast University,
Nanjing 210000, China
e-mail: shenzhangfan@163.com

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received January 8, 2018; final manuscript received August 28, 2018; published online November 22, 2018. Assoc. Editor: Ying Liu.

J. Comput. Inf. Sci. Eng 19(1), 011010 (Nov 22, 2018) (11 pages) Paper No: JCISE-18-1014; doi: 10.1115/1.4041418 History: Received January 08, 2018; Revised August 28, 2018

User requirements play an important role in product design activities. Customer satisfaction has a direct bearing on the acquisition of user requirements for product design. However, these implicit requirements are equipped with the attributes of potentiality, fuzziness, and subjectivity. In this paper, a new implicit user requirement processing method based on a cloud service platform is proposed to resolve the difficulty of acquiring implicit requirements. Initially, this method collects user requirement data via a metaphor extraction technique using a cloud service platform. Then, the requirement data are clustered and mapped with product attributes. Finally, the mapping results are visualized to intuitively instruct product design and optimization. Overall, the method is a user-centered innovation paradigm implemented on a cloud service platform to realize collaborative design and resource sharing. Finally, an application case is presented to illustrate the method, and the results indicate that the method is effective and could serve as a reference for product design.

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Figures

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Fig. 1

Process of defining product attributes

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Fig. 2

Flowchart of the user requirements cluster

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Fig. 3

Schematic diagram of the mapping process

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Fig. 4

Operating process of the cloud service platform

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Fig. 5

Design scheme submission page

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Fig. 6

“Inspiration” page

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Fig. 7

Mapping results visualization

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