The Role of Big Data and Foresight in Enhancing Resilience and Smart Decision-Making in Urban Logistics and Supply Chains in Iran

َAzadeh Sohrabinejad¹ Mehdi Rahimi²

1) University Lecturer, PhD in Industrial Engineering
2) University Lecturer, Doctorate in Business Administration (DBA)

IOI Code : AADG-AACKZG
Publication : The second international conference on new approaches in engineering and basic sciences(icnabs.ir/2nd)
Abstract :
    In today’s fast-paced and volatile world, supply chains—especially within urban logistics contexts—are increasingly vulnerable to disruptions triggered by environmental crises, pandemics, geopolitical tensions, and economic pressures. In this regard, the adoption of advanced technologies such as Big Data analytics and foresight methodologies offers promising avenues to enhance resilience and enable intelligent decision-making. This article, employing an analytical and literature-based approach, investigates the role of Big Data in identifying future trends, forecasting disruptions, and designing robust scenarios in the context of Iran’s urban logistics and supply chain systems. The findings indicate that combining large-scale data analysis with methods such as scenario planning, the Delphi technique, and trend analysis can lead to more adaptive decisions, faster responses to environmental changes, and increased resilience in urban logistics infrastructure. The paper concludes by proposing strategies for developing data-driven infrastructure and incorporating foresight approaches into urban logistics policymaking in Iran.

Keywords : big data foresight urban logistics resilience supply chain