Generative AI programs such as ChatGPT could help bridge the knowledge gap among manufacturing workers. At an IME East Conference and Exhibition session titled Harnessing ChatGPT: Bridging the Knowledge Gap in Manufacturing, several panelists discussed how generative AI could help establish best practices for various manufacturing tasks.
The loss of tribal and digital knowledge and information is a recurring problem in manufacturing, which is exacerbated when older workers retire, leaving newer employees struggling to fill the knowledge gap. This is where generative AI such as ChatGPT can help. Workers can query the program to produce at least a baseline of manufacturing guidelines and answers to help them navigate the challenges of their jobs.
Generative AI can also create useful training documents from inputs provided by workers. Additionally, because many companies have several manufacturing plants, generative AI can help ensure consistent manufacturing information and procedures across various locations. The program can also provide reference or training documents for workers in remote or distributed locations, ultimately making it easier for frontline production workers to access vital information.
One of the questions posed to the panelists was how AI would fit in with lean manufacturing vs Industry 4.0 manufacturing philosophies. The response was that ChatGPT’s emphasis on language makes it ideal for operators who may not be trained in data and analytics. Manufacturers can tap into their organization’s knowledge and insights, not just digital data.
The benefits of generative AI programs such as ChatGPT extend beyond the manufacturing industry. With the ability to bridge knowledge gaps, create training documents, and provide answers to frequently asked questions, AI has the potential to help workers in various fields. By empowering individuals on the front line, companies can increase productivity, engagement, and ultimately drive success across their organization.
