In vehicles one of the most important components which affect comfort of the driver and
the purchasing decision is the driver&rsquo / s seat. In order to improve design of a driver seat
in a leader company of automotive sector, a comprehensive analysis of customer
expectations from the driver seat is performed with a cross functional team formed by
representatives of design, marketing, production, quality and services departments. In
this study, collection of customer voice data and development of an exceptional
&ldquo / customer satisfaction estimation model&rdquo / using these data are presented. Data are
modeled by the help of Logistic Regression. This model is able to estimate how much a
given customer is likely to be satisfied with the driver seat at a certain confidence level.
It is also explained how this model can be used to identify design improvement
opportunities that help increase the probability that a customer likes the driver seat. The
modeling and analysis approach used for the particular case is applicable in general to
many other cases of product improvement or development.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609231/index.pdf |
| Date | 01 February 2008 |
| Creators | Cabuk, Vuslat |
| Contributors | Koksal, Gulser |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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