THOUGHTS

Big Data and Smart Manufacturing – Going hand in hand

May 11, 2017

Manufacturing sector – perhaps one of the most docile and conventional industries – is witnessing a slow revolution of kinds. Be it regarding raw material used or infusing of technology, industrial manufacturing companies are looking for opportunities that will give them an edge over their competitors. The latest addition to this trend has been the adoption of smart manufacturing techniques.

Smart manufacturing – Just an idea or reality?

With smart being the key prefix in almost every endeavor in the market, it is hardly surprising that the term got its place in the manufacturing industry as well. While there are critics who still prefer the traditional MES (manufacturing execution system), smart manufacturing is making inroads in the industry. But contrary to popular belief, there is more to it than just using technology for the sake of it.

The goal of a smart manufacturing system is to connect and dissipate manufacturing-related information in such a manner that it helps in boosting the overall profits of the organization. Thus, smart manufacturing is nothing but traditional MES powered with machine learning, IIoT, robotics, and cloud-based workflows. Therefore, it is safe to conclude that smart manufacturing is not just a fancy idea – rather it is a new reality that needs to be embraced.

Role of big data in making manufacturing smart

According to our manufacturing market intelligence, gaps in cost computation and predictive analytics are few of the major roadblocks which every manufacturing company faces at one point or another. Such a situation calls for a proper and in-depth analysis of data available to prevent increased cost to the company. It is now that the role of big data becomes even more critical.

Usually, most manufacturers lack the skills to collect and analyze the huge volumes of data which they have already collected. By resorting to big data analytics, companies can very easily capture, structure, integrate, and enrich their database. This whole process results in better forecasting and strategy building at lower costs, using fewer resources, and bringing in improved return on investment (ROI).

At present, the software used by major manufacturing companies are unable to match with the rapidly changing dynamics of the manufacturing environment. Big data, on the other hand, is driven towards capturing the ever-changing requirements of the manufacturing industry. This is the single most important reason companies should embrace big data in their manufacturing processes.

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