Discover how AI algorithms enable predictive maintenance and troubleshooting in manufacturing, reducing downtime and improving overall equipment effectiveness.
Table of Contents
Question
How is AI improving efficiency in manufacturing?
A. Enabling predictive equipment maintenance and troubleshooting.
B. Automating every single process.
C. Standardizing bid-rigging best practices.
Answer
A. Enabling predictive equipment maintenance and troubleshooting.
Explanation
AI in manufacturing can enhance efficiency with predictive equipment maintenance, forecasting when machines might require service. This can reduce downtime and maintenance costs.
AI algorithms can analyze real-time sensor data from manufacturing equipment to detect anomalies and predict when components are likely to fail. This allows maintenance to be scheduled proactively before equipment breaks down, reducing unplanned downtime and increasing overall equipment effectiveness.
Additionally, AI can assist in diagnosing root causes of equipment issues by analyzing historical data, identifying patterns, and suggesting solutions. This accelerates troubleshooting and minimizes repair times.
While AI is being used to automate certain manufacturing processes (Option B), it is not automating every single process as human oversight and intervention are still required for many tasks.
Option C is incorrect, as bid-rigging and other anti-competitive practices are illegal and unethical. AI should not be used to standardize such practices.
The latest Generative AI Skills Initiative certificate program actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Skills Initiative certificate exam and earn Generative AI Skills Initiative certification.