Poka Yoke Research Paper

Quality is given Build Quality in with Poka-yoke, Jidoka, Karakuri &
Statistical Process Control

- To err is human; stop depending more on operators’ skill than is humanly possible.
- Productivity is best all-out pursued under stable quality environment.
- They can also be pursued simultaneously with “built-in quality” concept.

This morning, I did a Google search through Internet by typing in the keyword “Quality”; the search engine returned with 3,410,000 results associated to this keyword. This number will only increase with time, probably exponentially. It shows quality is such a huge topic.
Over the years, many people, industrialists, managers, and quality gurus try to define or redefine what quality is as it evolves. The

In Japanese slang, it means ‘error-proof’ or ‘mistake-proof’.
In the early days of the 1960’s, statistical methods were popular and widely used as a method for solving manufacturing related issues. Not only are they still are popular and relevant in today’s more complex world, they are even being packaged into much more advanced techniques in six-sigma program, that are made popular by Motorola.
Method such as mean, variance analysis and control charts are very effective to detect if a process capability is drifting away from its normal performance. More advance technique such as ‘Design of Experiment’ helps amazingly to improve these process capabilities or the product’s strength when deployed effectively.
Statistical analysis approach works well for detecting an operative that is deviating from correct work procedures or processes by observing its mean and variance for related set of parameters. By plotting them onto a control chart, the shift is easily observed when the data collected and plotted onto the control-chart falls outside the control limits. However, the changes must be ongoing to be detected. Hence, the data collected for mean and variance analysis are usually in the form of continuous