Abstract
"IoT sensor data simulating a blockchain-enabled supply chain, tracking temperature, vibration, and location for logistics optimization."
Description
This dataset simulates a Smart Logistics network. It integrates realistic data from IoT sensors monitoring goods in transit.
Tracked Metrics:
- Environmental Conditions: Temperature and humidity limits for sensitive cargo.
- Physical Shock: Vibration levels indicating rough handling.
- Delivery Status: Real-time tracking of shipment progress.
- Supply Chain Efficiency: Calculated KPIs for logistics performance.
Use Cases:
Optimizing delivery routes and ensuring quality control for sensitive goods like pharmaceuticals or food.
Source: Kaggle (B.D.T Project) - Open Data.
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on External
Cite This Dataset
External (2026). Supply Chain IoT & Digital Twin Dataset. [Dataset]. External. https://www.kaggle.com/datasets/ziya07/bdt-mba-supply-chain-dataset
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 06, 2026
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