Leveraging Internet Of Things (Iot) For Real-Time Environmental Monitoring And Smart Resource Allocation In Supply Chain Management

Abstract

The concept of integrating Internet of Things (IoT) into management of the supply chain has also been a revolutionary solution in producing real-time environmental visualisation and intelligent resource distribution. This research focuses on finding the method of designing and applying an IoT-based framework that will be able to monitor the environmental parameters and optimize the resource utilization in the supply chain simultaneously. The designed system uses a hybrid network structure based on wireless sensor nodes, analytics in the cloud, and machine learning algorithms that could inform gathering, processing, and visualization of real-time environmental and operational data in multiple points of a supply chain. To observe the parameters like temperature, humidity, and humidity, Co 2 emission, inventory, and fleet utilization, pilot deployments were done in three industrial areas perishable goods distribution, manufacturing, and logistics. The findings demonstrate that monitoring through IoT substantially enhances the level of visibility, which allows one to make predictive changes in inventory routing, storage allocation, and transportation schedule. Through environmental monitoring, data indicated some significant trends between poor operations and a large carbon footprint, especially when the demand is high. Based on this collected data the construction of predictive models was then made in order to optimize resources in order to use less energy or less transportation of goods basin idle time into the observed nets up to the figures of 18 percent and 22 percent respectively. The research highlights the potential of IoT as a purpose two-sided technology that can support environmental sustainability objectives alongside operational efficiency and presents supply chain resilient information at an actionable level. This is reflected in the findings that integration of IoT sensing technologies with smart analytics would provide a scaleable real-time decision support system to fulfill environmental focus and resource optimization across the world logistic supply chain.