كنفرانس بين المللی مهندسی صنايع و سيستم ها

صفحه اصلی / دوازدهمین كنفرانس بين المللی مهندسی صنايع و سيستم ها

A Multi-Objective Two-Stage Stochastic Sustainable Model for Green IoT-Driven Humanitarian Distribution Networks

نویسندگان :

Negar Seidy¹ Masoud Rabbani²

1- دانشگاه تهران 2- دانشگاه تهران

کلمات کلیدی :

Humanitarian Supply Chain،Green IoT،Sustainability،Metaheuristic Algorithms،Two-Stage Stochastic Programming،Multi-objective Optimization

چکیده :

This study addresses the design of a sustainable humanitarian distribution network by balancing rapid relief delivery with economic, social, and environmental sustainability. While Industry 4.0 technologies like Internet of Things (IoT) enhance response efficiency, they often have a significant carbon footprint, necessitating a "Green IoT" approach aligned with Industry 5.0's goals to mitigate environmental impact. A multi-objective two-stage stochastic programming model has been developed that simultaneously minimizes costs and delivery times, reduces the network’s total carbon footprint, and maximizes job creation, allowing for a comparative assessment of Green IoT against standard IoT and non-IoT configurations. The sensitivity analysis of model, reformulated as a Mixed-Integer Linear Program (MILP), demonstrates that the emission reduction coefficient is the most critical parameter in calibrating environmental performance against total network objectives. Computational results, obtained using Genetic Algorithm (GA), Simulated Annealing (SA), and Harmony Search (HS), demonstrate the superior performance of the Green IoT configuration in achieving a more sustainable and efficient humanitarian supply chain, while the high feasibility rates across various test instances confirm the model’s reliability and robustness for real-world humanitarian logistics.