Internet of Things for Sustainable Carbon Footprint Reduction and Energy Management in Supply Chain

The growing demand to address environmental sustainability and climate change has emphasized the need for innovative solutions in supply chain and energy management. This study investigates the transformative role of the Internet of Things (IoT) in reducing carbon footprints and optimizing energy utilization within supply chains. A well-structured methodology was employed including regression modeling, cluster analysis, IoT simulation frameworks and optimization techniques. The data was collected from diverse energy and emission databases. After exploratory data analysis and feature engineering, energy efficiency and emission intensity were identified as critical metrics. Regression models achieved an R² score of 0.89 and clustering revealing distinct industry patterns for targeted interventions. The IoT simulation framework demonstrated real-time and decision-making insights using MQTT protocols. Optimization results indicated a potential carbon footprint reduction of up to 18.5% without compromising operational efficiency. These results showcase the potential of IoT-driven frameworks in providing actionable insights for sustainable supply chain management. This study also highlights the critical role of IoT in achieving sustainability goals and overcoming challenges associated with energy-intensive operations. This study will contribute in advancing the global agenda of sustainable development with measurable environmental benefits and operational improvements. It will also provide a robust framework for using IoT in achieving sustainability goals in other energy intensive sectors.

随着对解决环境可持续性和气候变化需求的日益增长，供应链和能源管理领域的创新解决方案的需求愈发凸显。本研究探讨了物联网（IoT）在减少碳排放和优化供应链中能源利用方面的变革性作用。研究采用了包括回归建模、聚类分析、物联网仿真框架和优化技术在内的严谨方法论。数据来源于多种能源和排放数据库。经过探索性数据分析和特征工程，能源效率和排放强度被确认为关键指标。回归模型实现了0.89的R²评分，聚类分析揭示了针对针对性干预的特定行业模式。物联网仿真框架通过MQTT协议展示了实时决策洞察。优化结果表明，在不妨碍运营效率的前提下，有可能将碳足迹降低高达18.5%。这些成果展示了物联网驱动框架在提供可持续供应链管理可操作见解方面的潜力。本研究还突出了物联网在实现可持续性目标以及克服与能源密集型操作相关挑战中的关键作用。本研究将为推动全球可持续发展议程、带来可衡量的环境效益和运营改进做出贡献。它还将为在其他能源密集型行业实现可持续性目标提供稳健的框架。