NDLI: A Simplified Systematic Method of Acquiring Design Specifications From Customer Requirements

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Sun, Nuogang Mei, Xuesong Zhang, Youyun
Copyright Year	2009
Abstract	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.
Starting Page	031004
Ending Page	031010
Page Count	7
File Format	PDF
ISSN	15309827
e-ISSN	19447078
Journal	Journal of Computing and Information Science in Engineering
Volume Number	9
Issue Number	3
DOI	10.1115/1.3184600
Language	English
Publisher	The American Society of Mechanical Engineers
Publisher Date	2009-08-19
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Design Fuzzy reasoning Surface roughness
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Computer Graphics and Computer-Aided Design Software Industrial and Manufacturing Engineering

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