How Artificial Intelligence is Changing The Bike Manufacturing Industry
Want to know the industry which was the first to embrace artificial intelligence with full force? You guessed it right. It is the manufacturing industry. The reasons and benefits are many. Some benefits are downtime in designing and manufacturing better quality products, efficient working robots and also the safety of employees.
The main expense in bike manufacturing industries comes with the maintenance of machines. To complete a certain deadline, a specified number of machines had to work consistently to do the job. But when a machine fails, other machines have to work more to complete the target.
Artificial Intelligence comes to the aid of manufacturers in accurately pointing the machine that can malfunction. The new term is predictive maintenance and this technology can predict the failure of a system, part or machine.
It not only uses AI but also machine learning and other sciences to decipher the failure of a machine. So, technicians and the management get alerts regarding the failure of the appliance. So, repairs are done in advance to stop any further stop-downs.
Manufacturing Quality Products
The business world has seen a rapid change with the mindset of customers. Gone were the days, when only multinational and branded companies ruled the roost. Now, even start-ups have cut into the profit margin of big conglomerates. So, the companies are finding it difficult to maintain the strict target guidelines along with quality.
The customers also expect good quality products with low market rates. By making use of new technology such as AI and machine learning, bike manufacturing companies can design and produce good quality products.
By the end of 2025, there will be at least a million robots working in factories all over the world. So, the humans will gain the upper hand in the supervision of robots. Also, they will be trained in other skills such as maintenance, design, and programming. Soon, robots will do more complex and difficult tasks than humans.
Adaptation to the Changing Market
The fashion and mindset of consumers change every year. And a bike manufacturing company will face loss if their model does not match the recent fashion trend. To gain accuracy of the customer mindset, companies can rely on social media platform algorithms to gain valuable information.
Several factors are taken into consideration such as consumer behavior, socioeconomic factors, buying patterns in times of festivals and more. So, this data helps the bike manufacturers to optimize the consumption of energy, and staffs.
But Security Lapses May Happen
Yes, artificial intelligence was introduced fifty years ago. And then came films such as the Terminator which showed intelligence robots in a poor light. But now, with fiction becoming a reality, AI-based robots can have a good IQ.
Now, a normal human will have an IQ of less than 100. But an AI robot, if it can start to build machines with IQ of 500, then destruction may happen to the human race, as per the prophecy by scientific historians.
When robots come to the bike manufacturing industry, automation will also gain ground. Yes, a lot of technological innovations have to take place. But, the future factories should have a proper supply chain, production line, the design team in place to check the quality of products manufactured by industrial robots.
Virtual reality has helped even the bike manufacturing industry. Many people are of the assumption that this new technology has only helped the construction and e-commerce industry. But VR has also helped the bike manufacturing industry to allow people and engineers to test on products in remote locations.
Yes, they are robots, but they will have specially designed features such as image recognition and voice to identify commands and complete complex tasks.
Internet of Things (IoT)
Sensor technology is a big industry in recent times. The IoT has almost revolutionized the home improvement industry. But in the bike manufacturing industry, this technology can help in predictive maintenance. When combined with customer insights, the resultant products will be more inclined towards customer behavior and trends.
In case of error, detection will be much faster. So, the entire production cycle will be made more efficient.
There are also rumors going around that AI along with machine learning can take away jobs from humans. The main reason for fear is that low-level jobs in manufacturing industries in Japan have already been taken by robots.
But, AI experts say in the future, that the workforce will comprise of robots working in perfect coordination with humans. At present, the destruction of natural resources is taking place.
The main reason, people are more concentrated on manual activities and living a decent life. But with robots occupying a major part of the workforce, humans can concentrate more on nature conservation and other activities.
AI has also stepped into the bike repair industry. Let us take a case study. If you are living in Bangalore and have a bike for maintenance, you do not have to go to the mechanic shop. You can download the app of the home maintenance companies providing doorstep mechanic service in Bangalore.
It is easy to scan through the profiles of experienced mechanics in your locality and book the best pro as per your budget. He will come to your home at the scheduled time for servicing your bike.
On the other hand, if you are not interested to book via the app, you may make a call to the number on the website. The voice at the other end may be a human or a chatbot. Of late, chatbots have replaced humans in customer care services. They can respond to simple queries and give apt responses. So, this is also another way where AI is benefiting the manufacturing industry.
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