Importance of Training Your Employees in Smart Manufacturing

The factory floor is swiftly evolving from a location where hands-on work and strong communication skills are required to one where smart tools gather information in real-time to generate important ideas into the production procedure.

In the meantime, smart manufacturing companies find it difficult to identify and train personnel with the knowledge they require to keep up with the new technological transformation, widening the knowledge gap. Managers must move quickly if they want their employees to be a channel instead of an obstacle to the efficiency gains offered by Smart Manufacturing.

Sealing the skills gap

A recent survey showed that employees with Six Sigma Certification are more productive compared with those without it. This is because employees cannot be certified unless they are compliant with the latest technology trends and have committed themselves to train someone under them or to mentor another person. If skilled workers train new employees under them, it ensures continuity of the processes despite the regular employee turnover.

In a smart manufacturing setup, it’s becoming more difficult to find individuals with both technical and analytical reasoning capabilities who can diagnose and fix modern manufacturing machines. According to a recent Deloitte consulting report, more than 2 million industrial jobs would be vacant over the next ten years due to a skills shortage.

Even seasoned maintenance staff acquainted with a plant’s infrastructure don’t consistently utilize a methodical approach to diagnosing faults and instead rely on experimentation to resolve them. 

This could be wasteful if expensive equipment is replaced inappropriately or if the procedure takes an extended amount of time. Training workers on the job is the key to ensure employees can diagnose problems fast and correct them before productivity gets affected.

Securing the smart machines

Internet of Things is taking shape fast in Smart Manufacturing today and workers need to keep pace with this new technology. The machines are no longer analog but they are interconnected online and trained personnel can operate them from their mobile phones or computers.

Interconnected machines make work easier and speed the manufacturing processes. Still, they are prone to cyberattacks from people who would love to sabotage the company for ransom or favor another competitor. The entire company will benefit if they train their staff on the importance of online security, security protocols, and secrecy of information.

Human resources working with robots

Industry 5.0, which is claimed to happen once the entire factory’s supply chain and business are integrated, is at the heart of this contemporary manufacturing transformation. The interface between humans and advanced machines such as robots shall be the center of attention. 

Since innovation is advancing at such a rapid pace in Industry 5.0, businesses will most probably have to train their employees on ways to exploit cutting-edge devices. This implies that a plant’s training course should be integrated with a company’s digitalization now and in the future.

Consistent production

Once an investor makes their order, manufacturers of smart manufacturing machines deliver and deploy their technical team to install and test the machines. Once the business owners confirm the smart machines are up and running, the manufacturers leave the site and the workers take over.

Most workers know the old tech machines and transfer that knowledge to operate the smart machines. The experience might work but for a season. Soon the new machines will demand maintenance and daily monitoring to ensure maximum productivity.

Unless the employees go through refresher training, they will not be able to keep pace with the new technology and production will begin to go down after some time. Staff training in a smart manufacturing environment should be a continuous process.

This entry was posted in Uncategorized. Bookmark the permalink. Post a comment

Post a Comment

You must be logged in to post a comment.

  • Categories

  • Archives

  • Latest from Twitter