IThis article deals with development of contactless measuring device for measurement geometric and qualitative parameters semi product tire - bead. Due to the current evaluation methods in series production, this equipment represents a technical technological improvement manufacturing process. This solution excludes potential influence process or operator during parameters. The uses latest know...

This paper will explore the fundamental relationships between Lean Sigma and simulation. A basic overview of Lean Sigma includes: 1) Lean Sigma philosophy, 2) Basic tools, 3) Theory of Variation, 4) SPC, 5) Process capability,6) Lean 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 Le...

ABSTRACT Six Sigma is a widely used moniker to represent a set of design and manufacturing techniques, the aggregate of which should effectively improve quality and lower cost. Six Sigma implies that six standard deviations of performance should be maintained between the performance mean and the closest specification limit. When multiple performance attributes must be satisfied, aggregation tec...

Background and Aims: Six sigma is the latest version of total quality management. It is quantitative goal for process performance. With increasing demands for improved accuracy and reliability of the results, Six Sigma is gaining increased visibility in the clinical laboratory process outcomes. The aim of study was to evaluate the quality of analytical phase performance in a clinical biochemist...

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...

Six Sigma is one of the best emerging approaches for quality assurance and management in automobile parts manufacturing. In this research, Quality Management tools such as COPQ analysis, Data Analysis, Pareto charts, Cause and Effect diagrams, Process Capability Study, Failure Mode Effects Analysis (FMEA), Design of Experiments (DOE), Visual and Control Charts etc. are used in defining the prob...