In modern manufacturing, mistake-proofing (or poka-yoke) is widely adopted across various industries as a critical method for ensuring product quality. However, many companies commonly encounter a significant issue during its implementation: the development of mistake-proofing measures often lacks systematic risk assessment and appears to be based on intuition or ad hoc decisions, resulting in suboptimal effectiveness. A typical scenario is that a company maintains a detailed mistake-proofing checklist, which not only includes specific information about each characteristic but also clearly outlines the underlying principles, methods, and verification requirements for each mistake-proofing measure—and these measures are regularly validated. Yet, when tracing back to the FMEA (Failure Mode and Effects Analysis) documentation, one finds that the corresponding mistake-proofing information is missing. This raises an important question: why were certain characteristics selected for mis...