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| Enterprise Performance Reporting System Introduction & Demo |
This webinar demonstrates our new IEE compatible performance scorecarding software. The Enterprise Performance Reporting System (EPRS) software leverages the power of Minitab® to produce 30,000-foot-level performance reports, which use the appropriate control chart and capability chart along with a plain text capability statement in a single chart. Included in the EPRS software is the ability to produce a graphical based user interface, like the IEE Value Chain, to provide user access to the performance charts and to produce scorecards at all levels of the organization. The charts are able to be integrated into almost any existing performance reporting system, if a web based information system exists within your organization.
If you are thinking that this is real nice, but do not want to be saddled with the metric generation for your company every week, it will not happen. The EPRS is able to acquire information from your corporate data warehouse or Excel worksheets on your network. As long as the data is kept current within your current procedures and processes, the EPRS system will acquire the data and produce an up-to-date chart as often as the software scheduler is setup. Set up the chart format and the data source, and the charts will stay up-to-date without any additional effort.
During the webinar we discuss the benefits of performance reporting using the 30,000-foot-level methods and how they are implemented into the EPRS software. We will go through the entire process to implement a metric and show how the automation functions can be used to reduce the labor requirements and keep the system current. If you are a current Minitab user, you will probably be surprised by the power of the macro functionality that is used to generate the 30,000-foot-level performance reports.
We are demonstrating the second release of the software. The first release of the EPRS software was only shared with a few corporate clients, and we have since added functionality that has made the second revision quite powerful software.
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| Smarter Solutions, Inc.
| Publication: Smarter Solutions, Inc.
| Published: 2012-01-11 |
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| A Predictive Approach to Risk Management |
| Organizations need a systematic approach for risk containment when quality, delivery, and design product and service issues occur. Such a system should also help them to recover quickly from errant decisions made by executives, operations personnel, and the quality department. This article describes how well-chosen metrics can help mitigate these risks if the measurements contain good tracking and reporting methods that lead to the most appropriate action. |
| Forrest W. Breyfogle, III
| Publication: Quality Digest
| Published: 2011-12-22 |
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| Digital Statistics Tables |
| Most practitioners do not frequently use the statistics tables, such as the normal distribution and t distribution. You may not have used them since your last Lean Six Sigma or statistics class. Is the lack of use due to the availability? If you would like a digital copy of the statistics table that has no intellectual property or copyright restrictions, download it here. This is an Excel workbook file, with all the equations that are used. Load it onto your laptop or your mobile device for quick access. |
| Smarter Solutions, Inc.
| Publication: Smarter Solutions, Inc.
| Published: 2011-12-08 |
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| An Alternative p-Chart Application for Predictive Scorecards |
| This article will show the business application of an alternate p-chart, using the data from Donald Wheeler’s excellent Sept. 30, 2011, article, “What About p-Charts?" However, rather than tracking percent on-time as Wheeler did, I have elected to examine the data from a nonconformance rate perspective—i.e., 100 minus percent on-time. The reason for making this data transition is that a process capability statement will later be made, where, for attribute data, process-performance statements are typically made in terms of a nonconformance rate. |
| Forrest W. Breyfogle, III
| Publication: Quality Digest
| Published: 2011-11-14 |
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| Transformation of Weibull Distributed Data: A Surprising Result |
| 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. |
| Rick Haynes
| Publication: Smarter Solutions, Inc.
| Published: 2011-10-26 |
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| Lean's Integration in an Enhanced Business Management System |
| Lean has a very good tool set; however, it is not a business management system. Practitioners may work with process improvement tools in organizational silos that often have little, if any, positive impact on the big picture. The Integrated Enterprise Excellence system addresses this need for overall orchestration of business operations with process improvement efforts. This article discusses how lean tools are integrated within the IEE system. |
| Forrest W. Breyfogle, III
| Publication: Quality Magazine
| Published: 2011-10-10 |
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