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Research Papers

A Simplified Systematic Method of Acquiring Design Specifications From Customer Requirements

[+] Author and Article Information
Nuogang Sun2

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. Chinangsun@mail.xjtu.edu.cn

Xuesong Mei

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. Chinaxsmei@mail.xjtu.edu.cn

Youyun Zhang

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. Chinazhangyy1@mail.xjtu.edu.cn

2

Corresponding author.

J. Comput. Inf. Sci. Eng 9(3), 031004 (Aug 19, 2009) (10 pages) doi:10.1115/1.3184600 History: Received November 16, 2007; Revised June 16, 2008; Published August 19, 2009

Faithfully obtaining design specifications from customer requirements is essential for successful designs. The natural lingual, inexact, incomplete, and vague attributes of customer requirements make it very difficult to map customer requirements to design specifications. In general design process, the design specifications are determined by designers based on their experience and intuition, and often a certain target value is set for a specification. However, it is on one hand very difficult, on the other hand unreasonable, so a suitable limit range rather than a certain value is preferred at the beginning of design, especially at the concept design process. In this paper, a simplified systematic approach of transforming customer requirements to design specifications is proposed. First, a two-stepped clustering approach for grouping customer requirements and design specifications based on the house of quality matrix is presented, by which the mapping is limited to within each group. To further simplify the inference mapping rules of customer requirements and design specifications, the minimal condition inference mapping rules for each design specification are extracted based on rough set theory. In the end, a suitable value range is determined for a specification by applying the fuzzy rule matrix.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

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Figure 2

Mapping relation between CR groups and DS groups

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Figure 5

Symmetrical norm distribution

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Figure 6

Distribution of the speed derived from CRs

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Figure 1

The procedure of acquiring design specifications from customer requirements

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Figure 3

The CRs and DS HOQ of a NC machine tool

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Figure 4

Divided modular HOQ of the machine tool

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