Real-Time Data Monitoring in Cold Supply Chain Through NB- IoT
Leena Wanganoo, Vinod Kumar Shukla
Abstract
Growing demand for perishable products across the globe, propelled by a paradigm shift in customer expectation poses a challenge to cold chain logistics. Studies show that an increased volume of losses incurs due to a lack of visibility across the supply chain. It is imperative to focus on processes and technological integration among all players to improve operational efficiency. Narrowband internet of things (NB-IoT) is relatively a new technology with the wider network coverage. This article aims to provide a conceptual framework, to monitor the performance on a real-time basis and enhance the decision making. The proposed cold chain solution based on NB-IoT is a real value enhancer with its ultra-low-cost, easy implementation, interoperability with the various network, low energy consumption and intelligent data analysis feature is ideal for a temperature-sensitive end to end supply chain monitoring. The NB-IoT device is embedded in the pallet integrates sensors for temperature and other environmental variations. High coverage capacity at a low cost will contribute to intensify the communication and optimize the cold chain for service excellence.