The dissertation deals point at issue of nonconforming components in CCI CR, Ltd., Special focus is on errors in machine cutting and in marking components, which lead to discrepancy of components with manufacturing documentation. The goal of dissertation is star-up a remedial process, which will reduce defective components. The result will be tested by the Six Sigma methodology.

This diploma thesis deals with a Six Sigma method, about especially analysis defects of forms for tire production company Barum Continental. In the first, theoretic part, there is the Six Sigma method, improvement method and implementation into practice defined, and at last I attended to the tools of Six Sigma method, e. g. Control Charts, Regression analysis, Pareto analysis. In the second, practical part, there is the industrial process analyzed. Then I was introduced Barum Continental spol. s.r.o. concern, which data extended. Up to data processing I was used tools of Six Sigma method and also histogram.

<div> <p>E-commerce organizations, these days, need to keep striving for constant innovation. Customers have a massive impact on the performance of an organization, so industries need to have solid customer retention strategies. Various big data analytics methodologies are being used by organizations to improve overall online customer experience. While there are multiple techniques available, this research study utilized and tested a framework proposed by Laux et al. (2017), which combines Big Data and Six Sigma methodologies, to the e-commerce domain for identification of issues faced by the customer; this was done by analyzing online product reviews and ratings of customers to provide improvement strategies for enhancing customer experience. </p> <p>Analysis performed on the data showed that approximately 90% of the customer reviews had positive polarity. Among the factors which were identified to have affected the opinions of the customers, the Rating field had the most impact on the sentiments of the users and it was found to be statistically significant. Upon further analysis of reviews with lower rating, the results attained showed that the major issues faced by customers were related to the product itself; most issues were more specifically about the size/fit of the product, followed by the product quality, material used, how the product looked on the online portal versus how it looked in reality, and its price concerning the quality.</p> </div> <br>