Search results
Results From The WOW.Com Content Network
The five whys is based on a misguided reuse of a strategy to understand why new features should be added to products, not a root cause analysis. To avoid these issues, Card suggested instead using other root cause analysis tools such as fishbone or lovebug diagrams. [10]
The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues.
Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, [1] is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
Some common types of these models include the Five Why's model, Ishikawa (fishbone) diagram, the Fault Tree Analysis (FTA), or the Failure Mode and Effect Analysis (FMEA). [4] Five Why's Model: Also known as "Why-Because" model, this model uses the idea of breaking an incident up into the fine details. Asking why something occurred, and what ...
Why–because analysis (WBA) is a method for accident analysis using graph theory. [1] It is independent of application domain and has been used to analyse, among others, aviation-, railway-, marine-, and computer-related accidents and incidents. It is mainly used as an after-the-fact (or a posteriori) analysis method.
SlideShare is an American hosting service, now owned by Scribd, for professional content including presentations, infographics, documents, and videos.Users can upload files privately or publicly in PowerPoint, Word, or PDF format.
In computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them. Usually, this involves determining a function that relates the size of an algorithm's input to the number of steps it takes (its time complexity ) or the ...