A Simplified Systematic Method of Acquiring Design Specifications From Customer RequirementsSource: Journal of Computing and Information Science in Engineering:;2009:;volume( 009 ):;issue: 003::page 31004DOI: 10.1115/1.3184600Publisher: The American Society of Mechanical Engineers (ASME)
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.
keyword(s): Design , Surface roughness AND Fuzzy reasoning ,
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| contributor author | Nuogang Sun | |
| contributor author | Xuesong Mei | |
| contributor author | Youyun Zhang | |
| date accessioned | 2017-05-09T00:32:01Z | |
| date available | 2017-05-09T00:32:01Z | |
| date copyright | September, 2009 | |
| date issued | 2009 | |
| identifier issn | 1530-9827 | |
| identifier other | JCISB6-26005#031004_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/140120 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Simplified Systematic Method of Acquiring Design Specifications From Customer Requirements | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 3 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.3184600 | |
| journal fristpage | 31004 | |
| identifier eissn | 1530-9827 | |
| keywords | Design | |
| keywords | Surface roughness AND Fuzzy reasoning | |
| tree | Journal of Computing and Information Science in Engineering:;2009:;volume( 009 ):;issue: 003 | |
| contenttype | Fulltext |