Application of data science in the field of manufacturing

Data science

We are living in the digital era. The dawn of the 21^st century was marked by the introduction of televisions and computers into our households. Since then we have come a long way and the technology has become an integral part of our daily life.

But the innovation that was going to completely revolutionize our lives was the internet. The internet-connected us to the global audience like never before. Now we could communicate and share our views and opinions with the whole world. The internet had completely changed our lives to the point that the whole industry and mechanism of a nation and even the whole world can crumble down if the internet goes down for 24 hours.

With the rise of the internet, another aspect that arose was the data. We all know that without the data there can be no internet and when we use the internet or any digital platform, it generates data. The study of this data in a systematic manner and using it to develop constructive decisions is precisely what is known as data science.

Data science in manufacturing

It’s common knowledge that manufacturing is the backbone of the whole industry of any nation. Data science has become a game-changer for how the industry is perceived and has found many applications in the field of manufacturing. Some of the common applications of data science in the field of manufacturing are given below:

1.     Reducing supply chain risk

Managing the supply chain is always the hardest part of the manufacturing process. Using data science this supply chain can be managed more efficiently and hence reduces the risk involved considerably.

2.    Automation

With the rise in the use of the internet another aspect that got popular is automation. Automation is being heavily adopted by the major manufacturing units and data science is the most efficient way of implementing automation. The automation has helped many manufacturing units to reduce their costs and also reduce the errors in the finished product.

3.    Analysis of warranty

ExcelR Data science is being effectively used to analyze the longevity of a product and that helps in better analysis of the warranty of the product. So warranty analysis is being highly improved by data science.

4.    Product development

New products are always needed in the market. Data science helps in predicting and identifying various consumer use patterns and that comes in handy while developing new and innovative products.

5.    Fault predictions

Similar to developing new products, data science can also be used to analyze and predict the faults that might appear in the machinery or the products. This allows the manufacturer to take the necessary steps for eliminating the faults or take the necessary precautions beforehand.

6.    Optimal pricing

Now the manufacturers can develop better products by studying consumer patterns with the help of data science. They can use a similar technique to analyze the different market parameters and devise the price of the product accordingly.

Resource box

So we have gone through the different applications of data science in the field of manufacturing. As we can see that data science is truly the way of leading the future innovations, and that might make you excited about pursuing datascience course in pune. So surf the internet a while and you can come up with plenty of resources to get started on your data science journey.