PUBLICATIONS BY SIGMAPRO...

This paper details the use of Economic Value Added (EVA) as a metric that is critical to selecting the right lean six sigma projects for the organization. The concept of Delta EVA is utilized to facilitate quick and easy solutions.

Purpose – The purpose of this paper is to investigate the effectiveness of quality management training by reviewing commonly used critical success factors and tools rather than the overall methodological approach. Design/methodology/approach – The methodology used a web-based questionnaire. It consisted of 238 questions covering 77 tools and 30 critical success factors selected from leading academic and practitioner sources. The survey had 79 usable responses and the data were analysed using ...

This paper contrasts various deployment approaches for Lean and Lean Six Sigma based on the assumption that the "easy" improvement projects have already been accomplished.

This paper provides a number of key ideas pertaining to the successful deployment of various models for improvement including Lean, Lean Six Sigma and traditional Six Sigma. Training curricula are contrasted for maximum results.

This paper discusses how to identify and select high priority lean six sigma projects in conjunction with the strategic planning process and policy deployment. The concepts involved are key to business transformation based on process improvement.

This paper provides a number of key ideas pertaining to the successful deployment of Design for Six Sigma, how to successfully execute DFSS training, some common pitfalls to avoid in DFSS deployment, and the standard DFSS training body of knowledge.

This paper provides an overview of Axiomatic Design, and it provides the linkage of Axiomatic Design to Design for Six Sigma and transfer function modeling. A practical approach is presented so that non-engineers can successfully utilize Axiomatic Design to examine and optimize coupling for the design of a new product, process or service. An overview of requirements decomposition is also presented.

This paper provides an overview of how to select design for six sigma (DFSS) projects as part of the portfolio management process. Design programs are typically evaluated based on Net Present Value (NPV) and Expected Commercial Value (ECV). This paper introduces the concept of Delta ECV for selection of DFSS projects.

This paper provides an overview of how to implement successful Design for Six Sigma (DFSS) training for manufacturing, R&D, and service organizations. The paper also describes how service organizations can benefit from DFSS and how Service DFSS training needs to be customized according to the design environment.

This paper provides an overview of the deployment issues and tools involved in successfully implementing Design for Six Sigma (DFSS) within your organization.

Interpretation of the results of a gauge repeatability and reproducibility (R&R) study relies on two key metrics -- the combined gauge R&R as a percent of specification and the discrimination ratio. These metrics are useful in terms of the rules of thumb that have been developed over the years, but they fall short of effectively quantifying how well the measurement system will perform in a production environment. For any measurement system, the alpha (or producer’s) risk is defined to be the pr...

Quality control and process control are based on data that are sequentially collected. The collection is displayed and analyzed, either in "real time", which means that a very fast program works on the data as soon as they are generated, or later after perhaps some cleaning up. It is a fact of life that most data are naturally multivariate. The classical Shewhart approach, dating back to 1924, tracked one variable by detecting shifts in the mean or variance with the assistance of contr...

This paper describes an application in real-time multivariate statistical process control for the automated power calibration of a family of high-energy power supplies. Subsequent to a variance-stabilizing transformation, data for the actual power produced by each unit under test is regressed on the specified input power over the operating range. The slope and intercept from the simple linear regression are then compared to the bivariate normal distribution for slope-intercept pairs from previou...