AI in Manufacturing and Industrial Processes AIE Practice Questions (Page 7)

Questions 31–35

1. 31application · medium

   A warehouse uses forklifts and manual picking. Workers sometimes strain their backs lifting heavy items, and there have been near-misses between forklifts and pedestrians. The company wants to reduce injuries and improve efficiency. What should they implement?

   • AA predictive maintenance model for the forklifts
   • BAI-powered autonomous mobile robots that handle heavy lifting and use sensors to avoid pedestrians
   • CA computer vision system that counts inventory on shelves
   • DA digital twin of the warehouse to simulate traffic flow
   Reveal Solution Discussion Select an answer first
2. 32application · medium

   A paper mill wants to reduce variation in paper thickness. The process has many variables, including pulp consistency, roller speed, and drying temperature. The mill has a digital twin of the process and real-time sensor data. What should they do to reduce thickness variation?

   • AInstall more sensors to measure thickness but continue manual control
   • BUse the digital twin to train an AI model that recommends real-time adjustments to roller speed and drying temperature
   • CUse a computer vision system to inspect the paper surface for defects
   • DImplement a predictive maintenance model for the rollers
   Reveal Solution Discussion Select an answer first
4. 33expert · hard

   A bottling plant has a fleet of aging conveyor motors. The maintenance team wants to reduce unplanned downtime but has a limited budget and cannot replace all motors. They have sensor data (vibration, temperature, current) and historical maintenance logs. They also want to avoid unnecessary maintenance that could introduce human error. What is the most effective approach?

   • AImplement a real-time process optimization system to reduce motor load across the fleet
   • BReplace all motors with new ones to eliminate failures
   • CTrain a predictive maintenance model to rank motors by failure risk and schedule maintenance only for high-risk motors
   • DUse a computer vision system to visually inspect all motors weekly
   Reveal Solution Discussion Select an answer first
5. 34application · medium

   A retail manufacturer has seasonal demand for its products. They currently order raw materials based on last year's sales. This leads to overstock in off-season and stockouts during peak season. The company wants to use AI to improve ordering. They have historical sales, marketing campaign data, and weather data. Which AI approach is most effective?

   • AImplement a process optimization system that adjusts production speed based on current inventory levels.
   • BTrain a demand forecasting model that uses historical sales, marketing campaigns, and weather data to predict future demand and set reorder points.
   • CUse a computer vision system to monitor inventory levels in the warehouse and reorder when stock is low.
   • DUse a digital twin of the supply chain to simulate different ordering policies and choose the one that worked best last year.
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A global electronics manufacturer has multiple suppliers and factories. They want to reduce shipping delays and excess inventory. They have data on supplier lead times, production schedules, and customer orders. What should they implement to improve supply chain resilience?

   • AA predictive maintenance model for factory robots
   • BA digital twin of a single factory to simulate production schedules
   • CAn AI supply chain optimization system that forecasts demand and adjusts inventory levels across factories based on supplier lead times
   • DA computer vision system to inspect incoming parts for defects
   Reveal Solution Discussion Select an answer first