Manufacturers are prioritizing the need for agility and flexibility on the plant floor to boost throughput and productivity. The goal: Optimize operations and upskill the workforce. Market shifts, supply chain disruptions, and changing customer demands highlight the need for quick order fulfillment and rapid plant changeovers.
Yet siloed IT and operational technology (OT) systems make it difficult to collaborate and share relevant information. Without easy access to the right data and context, frontline workers are at a disadvantage in making informed decisions to streamline production processes, address product quality issues, or thwart unnecessary downtime.
Worker shortages and industry brain drain are ongoing challenges. Long-time plant floor workers are retiring, leaving a gap in critical domain expertise and plant floor knowledge. Younger talent gravitates towards newer or more digitally transformed industries, creating a worker and knowledge gap that is a threat to plant floor productivity.
“There’s a high turnover rate due to lack of engagement,” says Parag Ladha, global industry marketing director, manufacturing at Microsoft. “If you put workers in a factory with very little tech where they are entering things manually, there is dissonance between their work situation and what they experience in day-to-day life. It feels like they’re going back in time.”
How industrial AI enhances worker productivity
Industrial AI empowers frontline workers with guidance, support, and knowledge, enabling them to tackle plant floor challenges faster and with more intelligent insights. In particular, generative AI (genAI) tools serve as an on-the-job assistant, helping plant floor personnel get quick answers to questions or step-by-step instructions, so they can be more efficient and effective on the job.
Industrial AI uplevels frontline worker productivity through:
Improved training and upskilling. Today, most plant floor workers learn about industrial assets and processes through tedious and manual exploration of written documentation and manuals. Using capabilities like digital twins, mixed reality, and AI agents, organizations can build skills and help employees perform tasks more efficiently and with better engagement.
Knowledge management. Many veteran frontline workers are retiring, taking their years of experience and domain expertise with them. GenAI tools address knowledge gap challenges by providing in-the-moment answers to conversational questions that can assist frontline workers in their daily tasks.
Fast and easy guidance. Instead of having to track down the right expert, AI agents help problem solve and provide step-by-step instructions for asset fine-tuning, equipment maintenance, and root cause analysis of anomalies and other potential problems. In one example, an aerospace provider created an intelligent assistant for its maintenance, repair, and overhaul technicians, which helped save an estimated 10 minutes on every query made during the day. The result was tens of thousands of savings in labor costs.
Frontline worker productivity is a major competitive asset. Industrial AI is the on-the-job assistant ready to help maximize worker output and plant floor performance to give manufacturers a lasting edge.
Click here to watch Microsoft’s video series, Industrial Transformation in the Era of AI.
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