Saturday, July 16, 2016

Engineer vs Scientist

Something crosses my mind a few days ago while thinking what is the function and responsibility that an engineer has to carry out which differs from a scientist. Are engineers required to publish their findings similar to what scientist do. After giving a serious thought in the matter, what I can conclude is that engineers are basically hired to solve problem that the company faces. For instance in the semiconductor industry we might have problem with the capacity of the wafer that is required to be moved through a certain processing steps. As an engineer we are required to provide plausible solution to the impregnable problem without the company to have to invest in the additional tools in order to support the higher move requirement.

A scientist is someone who actually delves into a known problem in the society and hence finding a solution to the problem that the society is facing. So what a scientist normally does is that he or she will eventually perform a literature review in order to ascertain whether the problem that he or she is planning to work into has not been studied by anyone else or he might be looking for an alternate method in finding the solution.

So as engineer we are been paid to find solution to the problem that the company is facing and while we do that maybe find some interesting aspect in our path towards the solution so that we will not get bored with what we are doing in the company.

Saturday, July 2, 2016

Controlling your tool better

Semiconductor industry has seen and explosive growth in terms of its market capitalization and its sales volume. The progress of the technology development has been spurred by the ever increasing consumer market trend.  As more consumer electronics has been designed for the ease and benefit of humankind, technology trend has so seen an aggressive push towards more circuit density per a single chip which has been predicted by Gordon Moore which been recapitulate in his Moore's law.

The shrink in the circuit density has also prompt in a more sensitive devices which requires a more stringent control on its semiconductor process. If for an older technology a defect of the size of 0.2um will not cause and detrimental effects on the overall processing circuit, now with a technology node of 65nm and beyond this defect size has catastrophic effect on the chip which translate to yield loss on the wafer.

Hence ushered the world of FDC or Fault Diagnostic and Control. FDC has provided the semiconductor player with a tool of controlling the processing tool by monitoring the processing parameter. This will help process engineer or the equipment engineer to stop the tool in the event that that the tool detected a drift before more wafers are exposed to the process. Previously control of the wafers was done based on a post processing data such as thickness drift or based on the qual wafer monitoring. This creates a big potential impact in the event that a major excursion happened in between the qualification wafers.

FDC has evolved from merely a tool to detect simplistic drift to conducting multivariate analysis to see correlation between multiple variables. By having multivariate analysis capability we are able to monitor multiple parameters at once and reduce any false alarm that might be triggered due to false alarm in the condition of a single parameter drift. There has been extensive study conducted on the modelling of tool parameters in order to determine the health of the tool and detecting abnormal drift and stopping the tool before excursion even occurs.

FDC is a wonderful tool only if a process engineer or equipment engineers utilizes it well by ensuring proper parameter are been monitored and specific rule are been generated.