AI in Manufacturing and Industrial Processes AIE Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   An automotive assembly plant wants to increase the speed of a parts-picking operation. Currently, workers manually pick parts from bins and place them on a conveyor. The plant also wants to reduce worker strain from repetitive lifting. Which AI-enhanced solution best addresses both goals?

   • AReplace all workers with fully autonomous robots that perform the entire picking and placement process without human involvement.
   • BUse a digital twin to simulate the picking process and identify bottlenecks, but keep the manual process unchanged.
   • CDeploy collaborative robots (cobots) equipped with vision systems that identify parts and hand them to workers, while workers perform final placement.
   • DProvide workers with exoskeletons to reduce strain while they continue picking parts manually.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A mid-sized manufacturer produces custom machinery. They have implemented AI for predictive maintenance on their CNC machines, demand forecasting for raw materials, and process optimization for their heat-treatment line. The plant manager now wants to integrate these AI systems to share data and provide a unified dashboard. Which approach is most appropriate?

   • AKeep the systems separate and have operators manually enter data into a spreadsheet for the dashboard.
   • BUse a digital twin of the entire factory to simulate all processes and replace the need for separate AI systems.
   • CUse a central data platform that collects sensor data, forecasts, and process metrics, and feeds them into a unified dashboard with role-based views.
   • DReplace all existing AI systems with a single enterprise resource planning (ERP) module that includes built-in AI.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   What does AI-driven process optimization in manufacturing primarily involve?

   • AUsing data analysis to identify inefficiencies and adjust parameters in real time
   • BReplacing all production equipment with newer models
   • CManually reviewing production logs at the end of each month
   • DIncreasing the number of workers on the production line
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A pharmaceutical company produces vials of liquid medication. They need to detect cracks, contamination, and fill-level variations at high speed. The production line already has cameras, and the company wants to automate inspection to meet regulatory standards. What should they implement?

   • AA digital twin of the production line to simulate fill volumes
   • BAn AI computer vision model trained to detect cracks, particles, and fill-level anomalies in real time
   • CA supply chain optimization system to manage vial inventory
   • DA predictive maintenance model for the filling machine
   Reveal Solution Discussion Select an answer first
6. 30expert · hard

   A food distributor has perishable goods and faces a trade-off: holding too much inventory leads to spoilage, while holding too little leads to stockouts. They have historical sales data, weather forecasts, and supplier lead times. They also have a limited warehouse cooling capacity. What is the best way to balance these constraints?

   • AUse a predictive maintenance model for the refrigeration units
   • BUse an AI demand forecasting model that incorporates weather and lead times to set dynamic reorder points and safety stock levels
   • CImplement a real-time process optimization system to adjust warehouse temperature
   • DIncrease warehouse cooling capacity to allow more inventory
   Reveal Solution Discussion Select an answer first