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Product Design Optimization Using Statistical Methods

Authors: Pingfang Tsai;

Product Design Optimization Using Statistical Methods

Abstract

<div class="htmlview paragraph">This paper presents an application of statistical methods to optimize product design. The study was to determine the appropriate dimension of rod diameter to effectively maintain the grip condition on the sunshade support rod and meet the sunshade effort requirement. Two statistical methods of experimental design and regression analysis were employed to determine the relationship between pull down force and rod diameter for different types of sunshades, to evaluate sunshade effort. The capability studies on sunshade effort for the recommended rod diameter have shown that pull down force meets the required specification for the three types of sunshades investigated.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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