Author name: Forrest Breyfogle

Process Capability Analysis – A Better Way

For a given process, do you think everyone would create a similar looking control chart and make a comparable statement relative to its control and capability? Not necessarily. Process statements are not only a function of procedural characteristics and sampling chance differences but can also be very dependent upon sampling approach. The implication of this is that one person could describe a process as being out of control, which would lead to activities that immediately address process perturbations as abnormalities, while another person could describe the process as being in control. For this second interpretation, the perturbations are perceived as fluctuations typically expected within the process, where any long-lasting improvement effort involves looking at the whole process. During this session, issues with traditional control charting techniques (e.g., x-bar and R charts) and process capability indices statements (e.g., Cp, Cpk, Pp, and Ppk) will be discussed. An enhanced alternative predictive performance measurement system will then be described that not only provides resolution to these issues but can also provide a predictive statement, which everyone can understand.

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Data Collection Concepts for Projects, Process Control, and Scorecards

Join Rick in this webinar, where he will share lessons learned from years of analysis and coaching improvement projects. We will discuss the different considerations involved in the collection of representative data to make a decision, whether it is for a LSS project, a process control initiative, or the creation of enterprise performance scorecards. The goal is to effectively collect the smallest amount of data to make the decisions that are needed. This webinar will provide you with some of the rules and guidelines that will allow you to collect data on a process in an optimal method for the purpose you need. It is not true that more data is always good. You will learn how different sample periods and different sampling plans will be able to improve your ability to support a decision with a minimal amount of data. The topics covered will benefit practitioners in all environments, from large automatically collected data sets, to ones where you must manually collect any data you will need.

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An Online Black Belt Training That Equals the Classroom Experience

Smarter Solutions has come out with a new blended learning Lean Six Sigma training method that overcomes the traditional issues with non-instructor led training. This training has been created to allow individuals to experience self-paced training and for groups to take the course as a team while providing interactive and individualized student coaching through the course by an expert Lean Six Sigma Master Black Belt. There is no similar program available anywhere else. The course also follows an internationally recognized textbook series providing the student with a reference to the Lean Six Sigma tools, theory, and methods well after the course is completed. Smarter Solutions partnered with MoreSteam.com, who has the top on-line Lean Six Sigma training materials, to build the on-line portions of the course. The complete course combines the MoreSteam.com Lean Six Sigma tool training topics with the Integrated Enterprise Excellence Lean Six Sigma project roadmap, created by Smarter Solutions, to provide a course the follows the same sequence as our instructor-led Black Belt course. A student will obtain a level of training that will equal an instructor-led course, without any requirement to travel to a classroom. This webinar will provide: * A review of all Lean Six Sigma training options available today * An overview of the Smarter Solutions Blended Online Black Belt course * A demonstration of an actual training module showing – Interactive lessons – Linked materials like case studies, tutorials, theoretical discussions and more – Linkage to the course reference textbooks – Minitab integration – Integrated coaching requirements * A list of all of the training materials and resources provided with the course Presented by Rick Haynes (Smarter Solutions) and Chris Paret (MoreSteam.com)

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Enhancement of Porter Value Chain Framework and its Predictive Scorecards

Linkage of processes with the predictive performance measurements for these processes is accomplished through an Integrated Enterprise Excellence (IEE)1 value chain. With this system, when a performance metric or key performance indicator (KPI) is not achieving its desired objective, the processes associated with that metric in the value chain need improvement.

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Individuals Control Chart (XmR chart, I chart) Reporting

Individuals control charts (I-charts or X-charts) can be used for time-series tracking of a process to determine if the process is in statistical control and can be considered stable. When a process is considered stable, it experiences only common-cause variability. When a process is not in control, special-cause conditions can be causing non-stability.

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Lean Implementation with Business System Integration

Lean has a very good tool set; however, it is not a business management system. To better address the challenges of the day, organizations need an effective business management system that integrates Lean tools with predictive scorecards and analytical/innovative strategies so that undertaken process improvement efforts have whole-enterprise benefits. The Integrated Enterprise Excellence (IEE)1 business management system, which is illustrated in Figure 1, accomplishes this organizational objective.

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