December 4, 2023
Challenge
This case study is centered on how the end-to-end visibility of data has provided sufficient transparency within a cold chain operation. Analysis of data from a number of completed shipments revealed a significant challenge of deviations from the preset temperature thresholds (2°C - 8°C) during the cold chain transit.
Approach
Faced with the challenge of inconsistent temperature control in their shipments, the team decided to strategically address the issue.
The Key interventions that were implemented to optimize the efficiency of cold chain operations include:
1. Enhanced Insulation: Increased the number of ice packs in the styrofoam packs used for transporting temperature-sensitive assets.
2. Optimized Container: Utilized a 50L cold box to regulate temperature settings during shipment.
3. Improved Preconditioning: Extended the preconditioning time before placing temperature-sensitive items in cold boxes or styrofoam packs.
4. Real-time Monitoring: Ensured continuous monitoring of the goods in real-time throughout the entire shipment duration (from preconditioning to delivery of items).
How it Works:
The improved cold chain process functions by combining advanced insulation, optimized containers, extended preconditioning, and real-time monitoring. The effect of these measures ensures that temperature-sensitive items remain within the desired range throughout the entire shipment process.
Benefits:
The implementation of these measures brought about several notable benefits:
Enhanced Product Integrity: The optimized cold chain process safeguarded the integrity of temperature-sensitive items, ensuring they reached their destination in optimal condition.
Reduced Product Waste: The interventions significantly reduced instances of temperature deviations, reducing the risk of spoilage or damage to sensitive goods.
Operational Efficiency: Real-time monitoring and strategic adjustments improved overall operational efficiency, providing a smoother and more reliable cold chain process.
Achieved Result
The innovative strategies derived from real-time data yielded remarkable results. The success rate of the enhanced cold chain operations reached an impressive 94%. This improvement underscores the significance of data-driven decision-making in addressing operational challenges and optimizing outcomes in cold chain logistics.
Case Studies
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