The demand for contactless, rapid manufacturing has increased over the years,
especially during the COVID-19 pandemic. Additive manufacturing (AM), a type of
rapid manufacturing, is a computer-based system that precisely manufactures
products. It proves to be a faster, cheaper, and more efficient production
system when integrated with cloud-based manufacturing (CBM). Similarly, the need
for semiconductors has grown exponentially over the last five years. Several
companies could not keep up with the increasing demand for many reasons. One of
the main reasons is the lack of a workforce due to the COVID-19 protocols. This
article proposes a novel technique to manufacture semiconductor chips in a
fast-paced manner. An algorithm is integrated with cloud, machine vision,
sensors, and email access to monitor with live feedback and correct the
manufacturing in case of an anomaly. Several real-time data such as performance
graphs, time left, and other current information were sent back to the user on
demand. An experiment was set up to optimize deposition parameters. The
experiment was successfully executed and stated the advantage of cloud-based
AM.
