Let me take you all to the time when the packed food materials gained popularity, exports became easy and automation was the buzz word. Everybody trusted the robots made and packed juice, considering it more hygienic and still does. The technology builders are looking forward to build machines that can learn from humans and implement the task not just on the basis of a text book but human thinking.
The process of Machine Learning has been in the research papers for long but internet has made it possible to implement it using proper machine learning algorithms. The robotic machines in use right now are not smart but the machine learning claims that the ability of the robots to learn from humans can turn the robots into intelligent machines which can even beat the human brain. One such example is when the global champ Chinese player KE JIE lost to AlphaGo in a Chinese origin game Go, it is an abstract strategy board game which is played between two players and the aim is to surround the maximum territory than the opponent.
We have surrounded our everyday activities around the technology-driven devices but the minute the switches are turned off, it’s just human brain which governs it all. The concept of machine learning involves the updating of machine capabilities while working with human brains. The use of machine learning in manufacturing industries can result in creative manufacturing rather than by the book manufacturing.
Now, the need of machine learning for manufacturers can be pinned as follows:
The manufacturing units produce tons of products in a single go, the need is to customize the operations to keep the supply chain efficient. Its difficult for humans to suspect the change required in the planning while keeping the inventory which in return adversely effects the output of planning engines.
ON TIME ORDERS:
The scheduling of the order right from the time the order is received to the time its complete can be easy with machine learning which will overcome the delay in the orders due to manufacturing.
Although the machines are created with accurate output results which are only met if the engineer provides the appropriate set of inputs. The intelligent machines can learn from the engineer responsible to monitor it and can suggest instructions used in past to perform a particular task, which may increase the accuracy.
What Revolution can Machine Learning get in manufacturing?
The algorithms designed for manufacturing are iterative in nature and each iteration takes milliseconds, the iterations produce optimized outcomes which can be obtained in few minutes and the average manufacturing time can be reduced to days from months. Listing the possible changes for manufacturers after implementing the machine learning can be
1. Increased Production and decreased material consumption
The advanced intelligent systems designed for manufacturing provides the predictive results using the data analytics and machine learning. The General Electric graphics say that the smart manufacturing systems have lowered their material consumption by 4% and the production is increased by 10%
2. Integrated systems in the manufacturing Unit:
There are multiple divisions working in the manufacturing unit like finance, supply chain team, and operations team. In order to meet the same target on time, the coordination plays a vital role. The machine learning has the ability to take inputs of the progress from each team and calculate the estimated time for the completion of the orders. Hence, letting each team share the details required for progress.
3. Improving Maintenance and Repair Performances:
The integration of machine learning database, mobile application developments, and algorithms into the cloud platform provides the access to the generation of a fault in the industrial equipment which acts as an input for the machine learning model. The predicted model so obtained can be used by the local technician for maintenance and repair of the equipment in use for production.
Machine learning will change the face of manufacturing in the future, the manufacturing errors due to the human fault will be long gone. Integrating the manufacturing unit with cloud platform will generate the subscriptions for the retailers to choose the manufacturer of their choice and increase the branding of the product, digital marketing, and global selling.
Reach us to our social community…