The relationship between important achievements in soft computing technology with the transportation and logistics industry in Iran: A review
الموضوعات :
1 - Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
الکلمات المفتاحية: Soft Computing, Transportation, Logistics, Digital Transformation, Communications.,
ملخص المقالة :
The transportation and logistics industry in Iran plays a pivotal role in the nation's economic development, yet it faces significant challenges, including inefficiencies and high operational costs. This review explores the critical relationship between advancements in soft computing technologies-such as fuzzy logic, neural networks, and genetic algorithms and their transformative impact on this sector. The necessity of this study arises from the urgent need for innovative solutions to enhance decision-making processes, optimize resource allocation, and improve overall service delivery within the Iranian transportation and logistics framework. This review synthesizes existing literature and case studies to highlight the novelty of integrating soft computing techniques in addressing complex logistical challenges. By employing a systematic methodology that includes qualitative analysis of recent advancements and their practical applications, this study identifies key trends and successful implementations within the industry. The findings reveal that soft computing technologies significantly enhance predictive modeling, route optimization, and demand forecasting, leading to improved efficiency and reduced costs. This research underscores the importance of embracing these technologies to foster sustainable growth in Iran's transportation and logistics sector, ultimately contributing to the broader economic landscape.
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