This approach may seem like a lot of work. The same project would also give you the Practical Solutions that aren’t complex and too difficult to implement. It’s a completely data-driven solution because it was found using the Six Sigma approach.Ī Six Sigma approach of DMAIC project would assist you to convert your Practical Problem into Statistical Problem and then your Statistical Problem into Statistical Solution. This solution is not based on gut feeling. It is the solution with a known confidence or risk levels versus an “I think” solution. In this approach, the statistical problem will then be converted into a statistical solution. Just a reminder, the measurement, and analysis of a statistical problem is completed in Measure and Analyze phase of the Six Sigma approach or DMAIC. A statistical problem is the problem that is addressed with facts and data analysis methods. You will need to c onvert this practical problem into a statistical problem. In the Six Sigma approach, the practical problem is the problem or pain area which has been persisting on your production or shop floor. That another little variable could be your potential X or critical X. Each subordinate Y may flow down into its own Y= f(X) relationship wherein some of the critical variables for one also may affect another little Y. The equation of Y=f(X) could involve several subordinate outputs, perhaps as leading indicators of the overall “Big Y.” For example, if TAT was identified as the Big Y, the improvement team may examine leading indicators, such as Cycle Time Lead Time as little Ys. If X is your input, Y cannot be called as an effect. If X is your cause, Y will not be regarded as the output. If X is your input, then only Y becomes your output. Please remember that the context of relating X and Y to each other would vary from situation to situation. It may look difficult but it is just a new way of looking at the problem. Every problematic situation has to be converted into this equation. This Six Sigma approach is called Y=f(X) thinking. Because the output Y will be generated based on the inputs X. We can say here that controlling inputs will control outputs. X may represent an input, cause or problem, and Y may represent output, effect or symptom. Check our Six Sigma Training VideoĮvery output (y) is a function of one or multiple inputs (x)Īny process which has inputs (X), and delivers outputs (Y) comes under the purview of the Six Sigma approach. After the process has been improved, it must be controlled to ensure that the problem has been fixed in the long-term. Once the root cause has been identified, the problem can be fixed or Improved. These inputs are Measured and Analyzed to determine whether they are the root cause of the problem. All possible inputs in the process that may be causing the problem are compared and the critical few are identified. In the Define phase, the problem is looked at from several perspectives to identify the scope of the problem. Every Six Sigma project goes through these five stages. The DMAIC methodology of Six Sigma states that all processes can be Defined, Measured, Analyzed, Improved and Controlled. As briefly described in free Six Sigma Green Belt Certification training, this approach is abbreviated as DMAIC. Let’s see what the Six Sigma approach or thinking is. However, if you are reading this article, you are probably still curious about the Six Sigma approach to problem-solving. This approach does not have room for gut feel or jumping to conclusions. If you have a Six Sigma Green Belt certification then you will be able to turn practical problems into practical solutions using only facts and data.Īttend our 100% Online & Self-Paced Free Six Sigma Training. In online Six Sigma courses that teach the Six Sigma principles, you will learn that a data-driven approach to problem-solving, or the Six Sigma approach, is a better way to approach problems. If you are a project manager or an engineer, you may have heard of the 6 Sigma approach to problem-solving by now.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |