AI in Manufacturing and Industrial Processes AIE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   In material handling, what is a typical task that AI-powered robots perform?

   • ACalculating the company's quarterly financial reports
   • BDesigning new product prototypes using CAD software
   • CPicking and placing items of varying sizes and orientations
   • DConducting employee performance reviews
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2. 7expert · hard

   A chemical plant wants to use a digital twin to optimize a reactor process. The plant has a limited IT budget and the process is highly complex. They also need to ensure that any changes are validated before being applied to the live process. What is the best way to proceed?

   • AUse a predictive maintenance model instead of a digital twin
   • BUse a static digital twin that is not updated with live data
   • CDeploy the AI optimization model directly to the live process without simulation
   • DBuild a digital twin that is continuously updated with live sensor data and use it to run simulations before applying changes to the real process
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4. 8application · medium

   A chemical plant wants to reduce energy consumption in its distillation columns. The process has many interacting variables (temperature, pressure, flow rates) that operators currently adjust manually. The plant has historical process data and real-time sensors. What should they do to optimize the process?

   • AInstall additional sensors to collect more data but continue manual adjustments
   • BDeploy an AI model that recommends optimal setpoints for temperature and pressure based on current conditions and updates them in real time
   • CUse a digital twin to simulate the plant but do not connect it to the live control system
   • DImplement a computer vision system to monitor gauge readings in the control room
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5. 9application · medium

   A plant manager wants to reduce unplanned downtime of a critical conveyor system. The conveyor already has vibration and temperature sensors feeding a historian database. The manager wants a solution that can alert maintenance staff before a failure occurs and also adjust the conveyor speed automatically to reduce stress when early warning signs appear. Which approach best meets both requirements?

   • AImplement a computer vision system to visually inspect the conveyor belt for cracks and send alerts when defects are found.
   • BDeploy an AI model that analyzes sensor trends to predict remaining useful life and triggers work orders, while a separate control loop uses the same predictions to reduce speed when risk is high.
   • CUse a digital twin of the conveyor to run offline simulations and generate a maintenance schedule based on historical failure data.
   • DInstall more sensors on the conveyor and set static threshold alarms for each sensor to page maintenance when any limit is exceeded.
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6. 10application · medium

   A food processing plant has a critical refrigeration compressor that fails without warning, spoiling inventory. The plant has installed vibration and temperature sensors on the compressor and wants to predict failures early enough to schedule maintenance during off-peak hours. What should they do?

   • AUse a computer vision system to visually inspect the compressor for oil leaks
   • BImplement a real-time process optimization system that adjusts the compressor speed to reduce wear
   • CCreate a digital twin of the refrigeration system to simulate different operating conditions
   • DTrain a machine learning model on historical sensor data to identify patterns preceding failures and set an alert threshold
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