The paper highlights the importance of employee/customer involvement in six-sigma implementation. For six-sigma a company not only needs a certain pool of resources, it also needs organizational competencies in terms of a motivated workforce and involved customers. Employee involvement leads to low worker role ambiguity, removal of cultural bottlenecks, worker empowerment, and worker motivation...

The define–measure–analyze–improve–control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach applied in reducing the process variations of the stub-end-hole boring operation of the manufacture of cra...

Six Sigma and Design for Six Sigma (DFSS) offer a new approach to Total Quality Management with a more integrated approach, standardized training and certification, and financial accountability for i nvestment in improvements. A core principle of DFSS is the Transfer Function (y=f(x)), whereby customer requirements are transferred into Critical-to-Quality requirements (CTQ). DFSS uses the House...

The purpose of this article is to describe and clarify a tool that is at the core of the definition phase of most quality improvement projects. This tool is called the critical to quality (CTQ) flowdown. It relates high-level strategic focal points to project objectives. In their turn project objectives are linked to and decomposed into CTQs, which are made operational in the form of measuremen...

Six-sigma is a business-driven, multi-faceted approach to process improvement, reduced costs, and increased profit. It helps to improve quality of product and cost saving. Six sigma is considered to be one of the best quality improvement methodology applied successfully to organizational areas like manufacturing, production, accounting and finance, sales and marketing, information systems, huma...

Nowadays every business is using different quantitative measures and techniques to assess peiformance of their products! services. It is well known that different manufacturing processes very often manufacture products with quality characteristics that do not follow normal distribution. In such cases, fitting a known non-normal distribution to these quality characteristics would lead to erroneo...