Smart Cold Storage Supply Chain Monitoring Using Digital Twin

To develop a digital twin of a cold storage logistics system that monitors temperature-sensitive goods during transportation and storage. The system aims to reduce spoilage and ensure quality compliance through predictive analytics.

Study cold chain logistics systems.

Model transportation and storage network digitally.

Simulate temperature sensor datasets.

Implement spoilage prediction algorithms.

Develop alert mechanism for temperature deviation.

Create dashboard for shipment tracking.

Simulate power failure scenarios.

Analyze product loss reduction.

Compare efficiency before and after optimization.

Document compliance improvements.

Prepare comprehensive technical report.