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Tools in Data Science · End Term · 31 Aug 2025 · May 2025 term · Set QIA3

Question 20: The system uses GPS coordinates to optimize supply chain…

Question 20

+1 markOne correct option

Scenario 2: Smart Manufacturing Quality Control System
An automotive manufacturer implements an IoT-based quality control system that monitors production line metrics, detects defects in real-time, and optimizes manufacturing processes across multiple assembly plants.
System Architecture:
● IoT sensors at production stations (coordinates provided for each plant)
● Quality control hub: (42.3601^(o) N, 71.0589^(o) W)
● Real-time data streams: temperature, pressure, vibration, visual inspection
● ML models for defect prediction and process optimization
Based on the above data, answer the given subquestions.

The system uses GPS coordinates to optimize supply chain logistics between plants. What is the computational advantage of using the Haversine formula in manufacturing logistics?

  1. A

    Accurate distance calculations for optimizing transportation routes and delivery scheduling

  2. B

    Calculating exact production times

  3. C

    Determining equipment maintenance schedules

  4. D

    Measuring network latency between plants

Show answer

Correct answer

  • A

    Accurate distance calculations for optimizing transportation routes and delivery scheduling

Question 20 of 34 in the IIT Madras BS Tools in Data Science (Tools in Data Science (TDS)) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIA3 31 Aug 2025). It carries 1 mark.

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