In recent times, the top priority of the manufacturing industry is to automate all its processes. This need has transformed the job market, economy and the factories in the manufacturing sector. With rapid advancements in AI, Robotics, and machine learning, machines are successfully reaching the levels of human intelligence and even cognitive skills. However, the manufacturing companies that are planning to automate its processes need to understand how they want to start the mechanization process and how much to automate.
Improved human machines leads to better mechanization
According to the survey by McKinsey, manufacturing is one of the most automation industry in the world. However, computerization mainly exists within the supply chain and procurement. With the advancement in technology, many limitations in the sector have been overcome. The new generation human machines are more cost-effective, versatile, and flexible that makes it more competent in doing tasks that were restricted to human beings only in the past. This achievement has been remarkable in automating the process in manufacturing more profoundly.
Potential of automation in manufacturing
According to the McKinsey study, 87% of the jobs performed by people in the manufacturing sector can be easily automated. It can be done in all the industries ranging from engineering, administration, management, material movement, and maintenance. There is also an immense potential because of the kind of activities performed by individuals. All the activities require a different set of skills and technological advancements. For examples, industries like fashion, luxury, food, beverage, etc., are industries with a lot of repetitive activities which gives a more significant possibility of motorization. On the contrary, manufacturing industries that require medium and high skills have lesser scope for self-handling, but still, it can go up to 40-50% self-regulation.
To sum up, human machines with its improved potential has contributed to the manufacturing industry significantly. However, there is still considerable scope for more computerization, especially in low skilled sectors.