Manufacturing analytics is the use of events data, operations and technologies in the manufacturing industry. It goes on to reduce costs, enhances yield or performance while optimizing supply chains. Manufacturing analytics falls into the category of industry 4.0 that would embrace newer former of technologies like the IOT or cloud.
Earlier the manufacturers were not in a position to harness and could not use all the data which was available from an end to end process of manufacturing. It could rely on expensive, complex process where collection of information from the operator to the machines will exist. It might taking a lot of time to have an idea why a process of manufacturing would be breaking down. In the competitive world of today waiting for weeks to find an answer is not a pleasing task at all. Even the manufacturers would be requiring complete visibility when it comes to the process of manufacturing. It is going to provide a 360 degree view and an insight into their efforts.
Manufacturing analytics would be relying on big data analytics, predictive analytics, machine learning. By the process of manufacturing analytics you will be able to obtain actionable insights on a real time basis. The collection and formatting of data has to be done in such a way where it is easy to understand when issues along with process are likely to emerge. A manufacturing analysts collects and analyses a large portion of data where you may automate the business process that would be responding to a real time situation.
More about manufacturing analytics
Manufacturing analytics is going to provide real time conceptual analysis. The decision makers are given a competitive edge where they digitalize their business, accelerate the pace of innovation, enhances quality and optimizes cost. In fact it goes on to redefine the customer experience. Industrial IOT along with manufacturing analytics goes on to enhance productivity or enhance the profitability of their operations where they churn in large data to work. A manufacturer is able to uncover patterns of data and contributes to better performance.
The question is how you are planning to accomplish the business goals. Manufacturing analytics is going to convert all the data which you obtain into insights that is going to have a positive impact on your business. The journey would start by defining the business process cases. Most of the manufacturers tends to have similar objectives as their focus has been to improve product quality. There are a series of steps in place which converts the manufacturing insights into actions.
After identification of the business cases the next step would be to assemble the data. The worst part is in the manufacturing sector there is a lot of data which is coming out from the factory floor. They are data from various sources and you need to wrangle all of them together.
The moment you achieve that you can automated the process and look out for signals in downtime, warranty claims or contribute to data yield.
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