A three-stage methodology for design evaluation in product development
In order to remain competitive in today’s technologically driven world, the faster and more efficient development of innovative products has become the focus for manufacturing companies. In tandem with this, design evaluation plays a critical role in the early phases of product development, be...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English English English |
| 出版: |
2013
|
| 主題: | |
| 在線閱讀: | http://eprints.uthm.edu.my/2199/1/24p%20FAIZ%20MOHD%20TURAN.pdf http://eprints.uthm.edu.my/2199/2/FAIZ%20MOHD%20TURAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2199/3/FAIZ%20MOHD%20TURAN%20WATERMARK.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | In order to remain competitive in today’s technologically driven world, the faster and
more efficient development of innovative products has become the focus for
manufacturing companies. In tandem with this, design evaluation plays a critical role
in the early phases of product development, because it has significant impact on the
downstream development processes as well as on the success of the product being
developed. Owing to the pressure of primary factors, such as customer expectations,
technical specifications and cost and time constraints, designers have to adopt
various techniques for evaluating design alternatives in order to make the right
decisions as early as possible. In this work, a novel three-stage methodology for
design evaluation has been developed. The preliminary stage screens all the criteria
from different viewpoints using House of Quality (HoQ). The second stage uses a
Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) to obtain the alternatives
weighting and the final stage verifies the ranking of the alternatives by a Rough-Grey
Analysis. This method will enable designers to make better-informed decisions
before finalising their choice. Case examples from industry are presented to
demonstrate the efficacy of the proposed methodology. The result of the examples
shows that the integration of Fuzzy-AHP with HoQ and Rough-Grey Analysis
provides a novel alternative to existing methods of design evaluation. |
|---|