Smarter Solutions, Inc. provides in these articles (white paper) how-to details that can have significant benefit to both organizational leadership and practitioners. Described (among other things) is the Integrated Enterprise Excellence (IEE) business management and improvement system which goes beyond Lean Six Sigma and the Balanced Scorecard. IEE provides a means to integrated predictive scorecards with the processes that created them. From IEE, organizations can determine where to focus improvement efforts so that the business as a whole benefits.
The following videos describe the need for an enhanced business management system and the benefits of IEE for addressing this need.
Enhanced Business Management System: Descriptive Videos Read More »
Executive leadership benefits when it has a business management system that orchestrates predictive scorecards, analytically/innovatively determine strategies, and identification/execution of process improvement projects that benefit the enterprise as a whole. Current business practices have shortcomings relative to the integration of these methodologies. This article elaborate on various enhancement opportunities.
Enhanced Business Management System Template Read More »
Creation of long-lasting business metrics will first be described and then the 30,000-foot-level scorecard tracking of these measurements will be discussed. It will be shown how, when a process is concluded to have a recent region of stability, a prediction statement can be made.
Porter Value Chain Model With IEE Predictive Scorecards Read More »
This article will build on the Shewhart1 and Deming2 special-cause and common-cause variability concepts as it relates to attribute count data that occur in subgroups.
SPC C-Chart Issues And Resolution Read More »
In Lean Six Sigma, the Define-Measure-Analyze-Improve-Control (DMAIC) roadmap is to be followed for the execution of process improvement projects; however there can be very great differences in how this roadmap is executed.
Lean Six Sigma DMAIC Process Improvement Roadmap Read More »
When non-normally distributed data are tracked over time at the 30,000-foot-level, process stability is to be assessed and a predictive statement provided, when appropriate. However, to make these assessments, a transformation that makes physical sense for this assessment may be needed. This article describes the use of an appropriate transformation from a physical point of view when deciding which actions or non-actions are most appropriate.
Process Behavior Charts for Non-normal Data: A 30,000-foot-level Perspective Read More »
P-charts are used in quality control to identify when special-cause or out-of-control conditions occur in timeseries data so that timely corrective actions can be taken to resolve problems. Sometimes data from a p-chart are used also to provide a process capability statement or non-conformance statement.
How to Resolve SPC p chart Calculation Issues Read More »
Lean Six Sigma is a well accepted business improvement methodology, but when you read about companies that have introduced Lean Six Sigma (LSS), the results are not always consistent. There are as many examples of success as there are of failure. Many studies on the impact of LSS show three key characteristics that are correlated with success: leadership support from the top levels of the company, high-potential employees provided LSS training, and the LSS methodology being used. From the outside, nearly all Lean Six Sigma programs and methods appear the same; they use DMAIC and they may provide a certification. All LSS methodologies are not the same, not by a long shot. The article discusses how the Smarter Solutions’ Lean Six Sigma roadmap and methodology provide students the highest probability of success in solving their project in a short period of time.
Transformation of process data to achieve normality seems like magic, but it is not. There are a lot of reasons that specific transformations make sense and should be used, such as a lognormal transformation of standard deviations and of time data. But, when it comes to the Weibull distribution, there is no logical or inferential information that provides any guidance on a transformation to normality, until now. Rick Haynes has found a relationship between the Weibull distribution parameters and the optimal Box-Cox transformation lambda value. Through the use of the @Risk simulation program and Minitab, this article walks through the generation of an equation to predict a lambda value.
Weibull Distribution Example: A Transformation with Surprising Result Read More »
Have you have ever wanted to adopt the balanced scorecard philosophy into your organization? You may like the concept but find that it is not quite enough and has its limitations. The problems with the balanced scorecard methods are not in the generic sense of balance (which is good) but in the way the original authors choose to introduce balance into the scorecard ideas. This article walks through a vehicle to develop, implement, and apply the balanced scorecard to its fullest extent so that it will be useful to leadership.
Problems with the Balanced Scorecard Resolved Through the IEE System Read More »
