Today,Artificial intelligence is implemented everywhere starting from our daily life to Navigation systems in cars,fitness apps,Amazon Alexa and Apple Siri voice assistants,weather forecasting and stock market predictions are the current must have applications of AI.
Some other industries are also looking to go into this field to improve their quality and to reduce the cost.Heavy manufacturing industries are now shifting their focus into AI field to reduce their cost and to save the time of their manufacturing.This industries are launching pilot projects to check if and how AI can benefits their operations and business.
The manufacturers are investing a lot of capital into the improvement of plants.AI offers a less cost alternative to the companies by using the existing software to analyze the data they collect routinely from their production and at the same time it will customise the results to better understand the working status and what they deliver along with gaining the knowledge on AI.
AI is doing some tremendous changes in the supply chain and administration management , That will increase the efficiency in production according to the markets strategies.
Reasons to Apply AI In Manufacturing With Heavy Assets:
For many years companies have been digitizing their plants with some most advanced techniques.Their plants are fully automated and with process controls.This helps the operators for great visualization of data in the manufacturing process.
Most of the companies are not using this advanced analytics and decision support techniques in the AI field.
By Using the AI techniques all the operations are based on their past experiences ,orders and judgments.When we are building AI models to automate work and improve supply chain methods can troubleshoot,run tests and trial are done at the same time.
This kind of works are done by the automated machineries that strain the limits of their human capacity.This may result, Many operators take shortcuts to take emergency activities because that don’t necessarily add value.
From many years industries are facing many problems that if the senior operator is retired they are facing some problems like they don’t find labour with skills,But when we are using AI in the industry they will automate the industry with respect to the changes of Production requirements.
The main advantage of this features are they never expires or retired.If we hire non-skilled operator in place of senior operator that will affect not only on performance but also on profits.AI is able to perform and assign tasks to the respected machinery.
AI has a strong ability to take decisions perfectly in complex tasks.It is also used to predict and consistent output in market that have helpful in retaining operator talent.
At the Cyberbike manufacturing plant everything is automated and maintained automatically by Artificial Intelligence and Robotic Process Automation.The bike is fully manufactured and monitored by robotics using AI.
We are fully integrated with RPA that will do the tasks continuously without breaks.This will automatically reduce the cost.The robotics arms are responsible for fixing the parts.
Our AI models will detect the drawbacks of manufactured process and detect the errors in that also.We will maintain a strong supply chain to supply the products in time.
Most importantly we will integrate AI with data science for providing the best business solutions from the data we get from past manufacturing processes.From Parts preparation to coloring parts is all done in a IN-HOUSE AI system.
Thus,Manufactures from small to heavy capital industries are now integrated slowly with AI to get a high rate of production and cost cutting techniques.For the coming years all the industries will run and produce the products using AI only.