Stephen R. Covey

Articles & Books From Stephen R. Covey

Article / Updated 09-16-2022
You don’t have to wait until your multi-vari data are collected to start creating the multi-vari chart for Six Sigma. Instead, you can build the chart, incrementally, adding more to it as you collect more data.Multi-vari charts can be drawn by hand; in fact, the process operators themselves can create them, providing those folks with a critical opportunity to invest themselves in the discovery of the root cause and the development of the solution.
Cheat Sheet / Updated 02-14-2022
To apply Six Sigma to your business and produce the best results, you need to understand what Six Sigma is, the principles of Six Sigma, and the DMAIC problem-solving method. The correct tools and use of the Six Sigma scale and methods will keep your data dependable and reusable.What is Six Sigma?Generally, Six Sigma is a set of techniques and tools that help businesses improve their processes.
Article / Updated 03-07-2017
In Six Sigma, you make progress the old-fashioned way — one project at a time. In essence, projects are the unit of change; they define the collective effort by which most Six Sigma progress is accomplished. Projects represent — and in fact are — the level of granularity expressed to manage Six Sigma change, from a single process improvement to a large-scale business improvement effort.
Step by Step / Updated 03-27-2016
A cause-and-effect matrix — sometimes called a C&E matrix for short — helps you discover which factors affect the outcomes of your Six Sigma initiative. It provides a way of mapping out how value is transmitted from the input factors of your system (the Xs) to the process or product outputs (the Ys). With these relationships visible and quantified, you can readily discover the most-influential factors contributing to value.
Article / Updated 03-26-2016
The problem statement serves several purposes in a Six Sigma project. First, it significantly clarifies the current situation by specifically identifying the problem and its severity, location, and financial impact. It also serves as a great communication tool, helping to get buy-in and support from others. When problem statements are well written, people readily grasp and understand what you’re trying to accomplish.
Article / Updated 03-26-2016
Solving problems the Six Sigma way requires varying degrees of skill in applied statistics. Solving complex problems requires considerable statistical expertise, but dealing with moderate problems or routine work takes less skill. In Six Sigma, the highest level of statistical skill is called Black Belt, the medium skill level is Green Belt, and the everyday level is Yellow Belt.
Article / Updated 03-26-2016
The sole purpose of Six Sigma is to increase productivity and using the four domains of activity can help achieve better efficiency. You can apply Six Sigma to four areas, or domains of activity: Thinking for breakthrough: The domain of thinking focuses on improving the capacity and efficiency of every employee.
Article / Updated 03-26-2016
A Six Sigma initiative is a continuous series of projects — managing projects of various sizes and shapes cascading together predictably to create an unending stream of breakthrough improvements in business performance. These improvements occur one project at a time, and each project is an encapsulated world of Six Sigma activity unto itself.
Article / Updated 03-26-2016
The primary Statistical Process Control (SPC) tool for Six Sigma initiatives is the control chart — a graphical tracking of a process input or an output over time. In the control chart, these tracked measurements are visually compared to decision limits calculated from probabilities of the actual process performance.
Article / Updated 03-26-2016
From a quality perspective, Six Sigma is defined as 3.4 defects per million opportunities. This figure is called a Six Sigma level of quality. Sigma scores are thrown about so much that you definitely need to be comfortable understanding what they are and how they’re calculated. Basically, a sigma score tells you how many standard deviations can fit between the mean and specification limit of any process or specification.