Manufacturing is a crucial aspect of every developing or advanced economy. Technology is the backbone of manufacturing processes allowing them to be possible and making them better over time. For most manufacturing companies, employee training is vital as learning how to use various tools and equipment has to be done on the job.
However, manufacturing training has been inefficient and lackluster in some cases, but technology can help it be better.
The following are some technological applications in manufacturing training:
Specialized Learning Management Systems
Learning management systems (LMS) are often designed for general, standardized, company-wide employee training. Most learning management systems are slow and inefficient as HR has to request the system every time there is training, which could take weeks for approval.
Specialized learning management systems that focus on a particular department, process, or content are the best LMS for manufacturing. They can allow manufacturers to develop content quickly, make it easy to share information, and will enable the management of a company’s training programs from a single platform, among other benefits.
Therefore, specialized learning management systems can help make manufacturing training much quicker and more efficient than general systems.
3D printing is slowly revolutionizing the entire educational process, and it will have an impact on manufacturing training too. The ability to develop 3D models of various aspects of manufacturing training gives the education concrete training tools that students can relate to, making it much easier for students to learn.
Instead of purely theoretical knowledge about the manufacturing process of a product, students can practically see the making of a product and better understand the process.
The result of 3D printing is a replica of the original design, and trainees can even develop more efficient operations or designs of the product, which would significantly improve the manufacturing business, benefiting the manufacturer.
We live in an age of data, and manufacturing training will involve using significant data by both trainers and trainees. Cloud-based computing uses network-connected remote services and devices to manage and process data.
Cloud computing would make sharing information and resources between trainers and trainees for manufacturing training more accessible. Companies could also train employees across different and distant locations, ensuring the training was streamlined for better results.
Cloud computing could also help cut training costs since all trainers and trainees could easily access information from the cloud. Cloud computing has plenty of applications for improving manufacturing training.
eLearning Authoring Tool
Manufacturing companies are different, and they will have different training courses for their trainees. Therefore, it would help if they had the technology to create their own courses instead of using generic or outdated ones.
An eLearning authoring tool refers to a software program a manufacturer can use to create eLearning courses. With the tool, a manufacturer can create classes that would be aptly suited to their processes and structure.
The best part is that eLearning authoring tools are quite easy to use. Moreover, you can create courses for different skill levels depending on who you are training.
AI is already impacting workplace training and will continue to do so as AI becomes more advanced. One way in which AI is affecting manufacturing training is by personalizing the learning requirements of each trainee.
People learn best in different ways and at different speeds. AI can help figure out which is the best way for trainers to learn and how to ensure they learn as fast as possible. Chatbots could also help with performance support, ensuring that trainees get as much help as they need.
There are many technological applications for manufacturing training. eLearning authoring tools, learning management systems, 3D printing, cloud computing, and artificial intelligence are only some of them. Consider how each could benefit your business and use them accordingly.
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