Here, the “Testing Engineer” we’re talking about is the one in a manufacturing plant responsible for product testing. We usually refer to the R&D engineers responsible for testing as EEs (Electronic Engineer). This role, along with the “Process/Product Engineer” we mentioned earlier, is one of the must-have positions in a factory. Another key role is the “Quality Engineer.” Together, they form what’s often called the “iron triangle” of a factory’s engineering department.
At first glance, Electromigration (EM) and Electrochemical Migration (ECM) might seem alike. In both cases, metal atoms or ions move from a high-voltage area to a low-voltage area, and both can lead to dendrite growth. But they’re actually very different at their core.
Process Capability refers to how well a process can produce quality products once it becomes stable. In real production, many variable factors can cause the process to fluctuate. By applying statistical methods, we can better understand how the process is performing and even use this data early on to improve product development.
Process Capability Analysis means measuring and analyzing these variables to understand how they relate to product requirements and specifications. It helps identify which variables have the biggest impact on quality and which ones we need to control or eliminate.
Do you know the difference between quality and reliability? These two terms often get confused, but if you dig deeper, they actually mean different things. So how do you tell them apart?
(The following is just Workingbear’s personal opinion and doesn’t claim to be 100% accurate.)
Quality is a broad concept. What exactly is “high quality”? People often say that Japanese products are high-quality and well-loved. So in a general sense, quality refers to how well a product meets or exceeds people’s expectations or satisfaction compared to other similar products.
Personally, Workingbear think this process capability improvement flowchart is quite well-organized, so I cleaned it up a bit and decided to share it with everyone.
Please note: Before implementing Statistical Process Control (SPC), the process conditions must first be quantified. In other words, you need to find a way to turn the factors that affect product quality into measurable or countable data.
