The self-driving car by Google, online recommendations from Amazon and Netflix, fraud detection, and knowing what your customers are saying about your brand. These are some of the known examples of machine learning applications.
Similarly, by aligning core technologies of machine learning with the complex problems manufacturers face, manufacturers can gain predictive insights into their production workflow, become more competitive, identify profitable opportunities, and start to avoid previously unknown risks.
Developed from the study of pattern recognition and computational learning theory, machine learning is a type of artificial intelligence that provides computers the ability to learn without being explicitly programmed.
From manufacturing built-to-order quality products, to making the supply chain operate more efficiently, machine learning technology has a lot of potential to give manufacturers greater predictive accuracy in each phase of their production process. As all of the applications developed are iterative with continuous learning capabilities, the delivery of optimal results takes minutes rather than hours. Moreover, machine learning gives manufacturing organizations a competitive edge by providing them the chance to identify profitable opportunities and avoid unnecessary risks.
There are a lot of ways machine learning is set to revolutionize the manufacturing industry. Here is just a small sample of the benefits.
Increased production capacity
Using predictive data analytics and machine learning, intelligent manufacturing systems are created. These systems have the capabilities to improve production workflows and increase production rates both at the machine- and plant-level by the faster processing of data.
More relevant data
In most manufacturing companies, the IT systems of different departments are not integrated. This creates a lot of confusion for cross-functional teams trying to achieve shared goals. Machine learning brings an entirely new level of insight and intelligence to this problem, integrating the systems as well as the shared goals of multiple departments.
Improved preventative maintenance
Another major role machine learning plays is in improving preventative maintenance, repair maintenance, and the overall performance of the equipment and machines on the shop floor or plant. This is done by delivering greater predictive accuracy at both the component level and part level.
Improved product and service quality
For manufacturers, the biggest challenge is in producing high quality products. Machine learning is transforming product quality by deciding which internal processes, factors, or parts contribute most and least to the quality objectives. Using machine learning technologies, manufacturers will be able to acquire the right intelligence.
Thus, machine learning is creating a whole new realm of manufacturing previously unimaginable. By ushering in this machine learning-driven future, manufacturers will have to keep up with the new trends and advances in research and bring human insight to the task of ensuring proper usage of the best machine learning systems.