21st Century Manufacturing

Over the past century, there have been a variety of developments in the industrial manufacturing fields, including changes in computers, worker training, manufacturing efficiency, regulations, and the size of machinery. However, one of the most important and often overlooked developments in 21st century manufacturing has been the use of data to drive change and innovation in factories. The rise of data-driven manufacturing has had widespread impacts on the sector as a whole, as well as the employees who work within the field. As you will see, Precision Clamp has made extensive use of big data to make major improvements in the manufacturing of our SCR Heat Sinks and SCR Clamps.

How is Data Used in Manufacturing?

LNS Research, one of the largest industrial research firms in the United States, describes the use of big data in manufacturing as follows:

“Big Data Analytics in manufacturing is about using a common data model to combine structured business system data like inventory transactions and financial transactions with structured operational system data like alarms, process parameters, and quality events, with unstructured internal and external data like customer, supplier, Web, and machine data to uncover new insights through advanced analytical tools.”

view of a 21st century manufacturing plan with many machines in a very large indoor area

a sun lit factor from the inside, large windows and many machines and people.

This provides us with a comprehensive answer, but what does it actually mean? The introduction of data analysis into the industrial manufacturing field means that companies like Precision Clamp can produce higher-quality, more reliable products with lower costs and a reduced environmental impact. We will take a look at each of these results in detail.

Quality & Reliability

The use of 21st century manufacturing techniques like big data in our SCR Heat Sink and SCR Clamp manufacturing means that we can produce higher quality products.

Lower Costs

Big data is the single most effective way to identify waste and inefficiencies in the manufacturing process. Waste can take on many forms: wasted materials, excess energy consumption, under-utilized or over-used man hours, and wait times in the manufacturing process. By analyzing big data, we can reduce waste and excess manufacturing costs, savings which are passed on to you, the consumer.

Environmental Impact

Every instance of waste and inefficiency in the manufacturing process leads to an environmental impact. Excess chemicals are sent back into the earth, wasted materials cause more raw materials to be extracted from the earth, and unnecessary energy consumption leads to more fossil fuel pollution and CO2 released into the atmosphere. By utilizing big data in our SCR Heat Sinks and SCR Clamps production lines, we are able to eliminate waste and do more to help our environment.