Technical gazette, Vol. 32 No. 2, 2025.
Original scientific paper
https://doi.org/10.17559/TV-20240330001439
An Integrated Model for Developing a Global Logistics Network Using Metaheuristic Algorithms
Reza Karimi Mehrabadi
; Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Emad Roghanian
; Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
*
Shahnaz Piroozfar
; Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Abbas Shojaie
; Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
* Corresponding author.
Abstract
The globalization of economies has heightened the importance of efficient logistics networks, particularly in the post-COVID-19 era where supply chain resilience is paramount. This study focuses on designing logistics hub networks to enhance global shipment flow management. A hub-based structure is adopted, aligned with existing global logistics frameworks. The research addresses key challenges such as optimizing warehouse and hub locations to streamline cargo delivery. An integrated model is developed for route planning, incorporating multi-modal transportation and cost-time trade-offs. The study employs metaheuristic algorithms including Strength Pareto Evolutionary Algorithm (SPEA-II), Non-Dominated Sorting Genetic Algorithm II (NSGA-II), and Multi-Objective Grey Wolf Optimization Algorithm to solve the proposed model. Detailed numerical analyses demonstrate the model's capability to generate optimal global solutions, underscoring its practical utility in real-world logistics management.
Keywords
global logistics; location allocation; logistics hubs; metaheuristic algorithms
Hrčak ID:
328562
URI
Publication date:
27.2.2025.
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