The concept of artificial intelligence in manufacturing industry

Market place is a commodore, where buyers are spoilt for choices. A situation has arisen where customers have become choosier than ever. Consumers are tilted towards products offering customized, standardized and unique centred solutions. They expect high quality products at a lowest price range possible. Having said so rub of the green does not go your way at all times. Bottlenecks in production, poor forecasting and planning, equipment failure force things to go downhill.  To cope up with such unexpected events manufacturing companies rely on artificial intelligence.

Let us now explore on how artificial intelligence in manufacturing industries would leave a mark in future.

Emerging markets and artificial intelligence

A major point of consensus for manufacturing companies is higher capital outlays with diminishing profit scales. This results in outsourcing your manufacturing needs to low wage places. Rising costs of leaving with need for automation and modernization makes artificial intelligence a mere option. 

Though it is another aspect that due to automation several workers would end up losing their job, companies can encourage such works to pick up high end jobs. Maintenance tasks, programming and superior quality design are tasks undertaken by such workers. In reality you might be not able to formulate artificial intelligence for such applications. A mere automation of tasks is expected making business process feasible. An example is customization of products to meet individual requirement of customers.

A safe workplace

In a manufacturing set up several minute details are not visible to human eye and go unnoticed under the carpet. Advanced technologies in the form of artificial intelligence and machine learning adopt a microscopic approach to problems. What a human eye cannot detect they outline easily.

  AI manufacturing companies need it as part of their system.  Such companies have incorporated automation robots to enhance performance which is increasingly becoming popular. An essence of this system would be robots integrate with human beings and are able to take commands from them. Superior machine senses in the long run would provide a better work place.

Efficiency of supply chain

Artificial intelligence leaves a considerable mark on areas not related to robotics. In domain of supply chain use of artificial intelligence outlines demand for products across global markets. All viable considerations like location, political developments and considered via algorithms. For predicting maintenance of equipment artificial intelligence works wonders. Operating conditions are tracked by sensors and operational module of factory tooling.  A clear demarcation of breakdowns and breakdowns can be ascertained. This helps a company to undertake preventive measures at the earliest possible juncture.

Last but not the least application of artificial intelligence in the stream of manufacturing helps companies to deal with unwanted down times.

·         Low yield- a percentage of units which pass through quality control methods
·         Lower productivity- an exact nature of time taken to develop a product

Artificial intelligence helps to speed up production process and in comparison to human beings accuracy levels improve. Human beings rely more on in house inspection or quality control which proves to be  a time consuming task.

1 comment:

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