This paper will explore the fundamental relationships between Six Sigma and simulation. A basic overview of Six Sigma includes: 1. Six Sigma philosophy, 2. Basic tools, 3. Theory of Variation, 4. SPC, 5. Process capability, 6. Six Sigma infrastructure, and 7. DMAIC and DFSS processes. Simulation will be applied to the appropriate areas of the overview. Improvement in the robustness of the Six S...

Most Six Sigma process capability analyses are based on the assumption that the process data are normally distributed. However, many processes, particularly those involving life and reliability data, do not follow normal distribution. Evaluating Process Capability using the assumptions of normality in such cases may lead to erroneous evaluation and wrong conclusions. In cases, where the process...

Six sigma is a highly disciplined process that focuses on developing and delivering nearperfect products and services consistently. Six sigma is also a management stragety to use statistical tools and project work to achieve breakthrough profitability and quantum gains in quality. The steps in the six sigma process are Define, Measure, Analyse, Improve, Control or DMAIC for short (Kubiak T.M, B...

The six-sigma systems can promote the enterprise competitive ability, such as pursuing cost improvement, promoting quality, the customer’s satisfaction and valid strategy performance. This paper explored the synergies resulting from the combination of state-of-the art quality initiatives, lean and design for Six Sigma, and develop an integrated SCOR with lean and design for Six Sigma methodolog...

The popularity of six-sigma has given rise to the question: can any company adopt this rigid data driven approach to achieve higher levels of quality? This research suggests that a company must develop a unique combination of resources and competencies to realize the benefits of six-sigma. According to the competency based perspective (CBP), a company first needs to have the assets, skills, and...

Reliability of manufacturing processes can be obtained from daily production data when process failure criteria are established. Results of the analysis are displayed on Weibull probability plots. Losses are categorized and identified for corrective action based on a demonstrated production criterion, which gives a point estimate for the daily production value. Concepts from six-sigma methodolo...